Category Archives: Robotics

DUBLIN--(BUSINESS WIRE)--The "Space Robotics Market by Solution, by Application, and by Organization Type - Global Opportunity Analysis and Industry Forecast 2021-2030" report has been added to ResearchAndMarkets.com's offering.

The Space Robotics Market size was valued at USD 2.54 billion in 2020 and is predicted to reach USD 7.60 billion by 2030 with a CAGR of 11.9% from 2021-2030.

Space robots are specially designed for space missions and exploration activities. They are capable of withstanding extreme space condition and can perform activities such as assembly, maintenance, and repair of spatial satellites, among others. There are two major types of space robots such as remotely operated vehicles (ROV) and remote manipulator system (RMS). These robots expand the capabilities of astronauts in space by providing them greater handling capacity.

Increase in number of space research & exploration projects, need for proper maintenance and servicing of existing satellites, and on-orbit assembly are the factors driving the demand for space robotics market. Space robots are used for successful execution of space programs, such as on-orbit manufacturing in the International Space Station (ISS) and lunar surface innovation initiative by National Aeronautics and Space Administration (NASA). Also, huge investments by private companies as well as by government organizations are fuelling the growth of space robotics market. For instance, the European Space Agency (ESA) has been preparing technology roadmaps in space robotics by funding multiple projects, such as PERASPERA and SpacePlan 2020. The PERASPERA project aims to develop a comprehensive master plan for space robotics within 2023-2024 timeframe. Similarly, NASA has been working on its space technology roadmap to 2035 and identified several robotics areas for the same.

However, high initial & maintenance cost, and limited technological know-how are factors expected to restrain the space robotics market growth to some extent. On the contrary, technological developments and rise in the use of autonomous systems in space are expected to create ample growth opportunities for the market in the coming years.

The space robotics market is segmented on the basis of solution, application, organization type, and geography. Based on solution, the market has been segmented into Remotely operated vehicle, remote manipulator system, software and services. Based on application, the space robotics market has been segmented into deep space, near space and ground. Based on organization type, the market has been segmented into government and commercial. Geographic breakdown and analysis of each of the aforesaid segments includes regions comprising North America, Europe, Asia Pacific, and Rest of the World.

Key Benefits:

Key Topics Covered:

1. Introduction

2. Market Snapshot, 2019-2030 Million USD

3. Porter's Five Force Model Analysis

4. Market Dynamics

4.1. Growth Drivers

4.2. Challenges

4.3. Opportunities

5. Global Space Robotics Market, by Solution

5.1. Overview

5.2. Remotely Operated Vehicle

5.3. Remote Manipulator System

5.4. Software

5.5. Services

6. Global Space Robotics Market, by Application

6.1. Overview

6.2. Deep Space (Space Transportation. Space Exploration, Others)

6.3. Near Space (Space Transportation. Space Exploration, Others)

6.4. Ground

7. Global Space Robotics Market, by Organization Type

7.1. Overview

7.2. Government

7.3. Commercial

8. Global Space Robotics Market, by Region

8.1. Overview

8.2. North America

8.3. Europe

8.4. Asia-Pacific

8.5. Rest of World

9. Company Profiles

9.1. Oceaneering International, Inc.

9.2. Maxar Technologies

9.3. Northrop Grumman

9.4. Astrobotic Technology

9.5. Motic Space Systems Inc.

9.6. Altius Space Machines

9.7. SpaceX

9.8. Honeybee Robotics

9.9. Intuitive Machines LLC

9.10. Olis Robotics

For more information about this report visit https://www.researchandmarkets.com/r/ujkmfn

View original post here:

Global Space Robotics Market to 2030 - by Solution, by Application, and by Organization Type - ResearchAndMarkets.com - Business Wire

Amit Goel, Director of Product Management for Autonomous Machines at NVIDIA, discusses the new collaboration between Open Robotics and NVIDIA. The collaboration will improve the way ROS and NVIDIAs line of products such as Isaac SIM and the Jetson line of embedded boards operate together.

NVIDIAs Isaac SIM lets developers build robust and scalable simulations. Dramatically reducing the costs of capturing real-world data and speeding up development time.

Their Jetson line of embedded boards is core to many robotics architectures, leveraging hardware-optimized chips for machine learning, computer vision, video processing, and more.

The improvements to ROS will allow robotics companies to better utilize the available computational power, while still developing on the robotics-centric platform familiar to many.

Amit GoelAmit Goel is Director of Product Management for Autonomous Machines at NVIDIA, where he leads the product development of NVIDIA Jetson, the most advanced platform for AI computing at the edge.

Amit has more than 15 years of experience in the technology industry working in both software and hardware design roles. Prior to joining NVIDIA in 2011, he worked as a senior software engineer at Synopsys, where he developed algorithms for statistical performance modeling of digital designs.

Amit holds a Bachelor of Engineering in electronics and communication from Delhi College of Engineering, a Master of Science in electrical engineering from Arizona State University, and an MBA from the University of California at Berkeley.

Links

tags: Algorithm AI-Cognition, Algorithm Controls, Business Deal, c-Research-Innovation, cx-Industrial-Automation, cx-Research-Innovation, open source, podcast, Robotics technology, software

Abate De Mey Graduated with a Master of Science in Robotics at the University of Bristol in conjunction with the Bristol Robotics Lab.

Read the original here:

NVIDIA and ROS Teaming Up To Accelerate Robotics Development - Robohub

NEW YORK, Oct. 20, 2021 /PRNewswire/ --The global assistive robotics market size is expected to reach USD 25.16 billion in 2028 and register a CAGR of 22.1% over the forecast period, according to the latest report by Reports and Data. Recent advancements in Artificial Intelligence (AI) and robotics are some key factors expected to drive market revenue growth. Also, a number of companies are currently offering insurance coverage for robotic surgeries and medical exoskeletons.

Assistive robotics can help babies, people with disabilities, and elderly users to cope with everyday situations, which they are unable to accomplish. This robotics have smart sensors and algorithms to take decisions independently, navigate autonomously, and interact with individuals.

Technological advancements have led to increasing adoption of AI in robotics. AI has allowed assistive robotics to learn a variety of tasks. Next-generation robotics will include machine vision, speech and voice recognition, gesture control, and tactile sensors. Assistive robotics equipped with AI can become more efficient with the introduction of novel features.

The geriatric population is facing major issues of loneliness and social isolation. Mobile Robotic Telepresence (MRT) systems have exhibited generation of positive social interactions with elderly individuals. These systems enable relatives and workers to visit elderly individuals more often, irrespective of location. Hence, assistive robotics are expected to register high demand among older members of the population. In addition, assistive robotics are extensively utilized in the healthcare sector by surgeons as these can improve flexibility, control, and precision during operations. These solutions help surgeons to see clearly, unlike traditional techniques.

Download Report Sample PDF- https://www.reportsanddata.com/sample-enquiry-form/4610

Some Key Highlights From the Report

To Identify The Key Trends In The Industry, Research Study At https://www.reportsanddata.com/report-detail/assistive-robotics-market

For the purpose of this report, Reports and Data has segmented global assistive robotics market based on type, mobility, application, and region:

Type Outlook (Revenue, USD Billion; 20182028)

Mobility Outlook (Revenue, USD Billion; 20182028)

Application Outlook (Revenue, USD Billion; 20182028)

Inquiry Before Buying Research Report- https://www.reportsanddata.com/inquiry-before-buying/4610

Regional Outlook (Revenue, USD Billion; 20182028)

Explore Trending Research Studies by Reports and Data :

Digital Health Marketsize was USD 97.78 Billion in 2020 and is expected to register a CAGR of 16.4% during the forecast period. Increasing prevalence of chronic diseases such as heart disease, cancer, stroke, asthma, and Chronic Pulmonary Obstructive Disease (COPD) among others is expected to continue to result in expanding usage of the digital tools and drive market revenue growth to a significant extent over the forecast period. Digital health encompasses a wide range of health solutions and technologies for addressing a variety of health-related conditions, needs, and use-case applications.

Air Conditioner Marketsize was USD 123.19 billion in 2020 and is expected to register a revenue CAGR of 5.5% during the forecast period. Market revenue growth is primarily driven by ongoing economic growth of developing countries and rising global temperature. Increasing humidity levels and temperature worldwide is a key factor expected to boost revenue growth of the market during the forecast period. Scorching heat waves are breaking records in many countries such as the U.S., Australia, and Siberia.

Biomethane Marketsize was USD 1.63 Billion in 2020 and is expected to register a revenue CAGR of 6.5% during the forecast period. Major factors driving market revenue growth are increasing requirements of biomethane in power generation, rising application of biomethane gas as transportation fuel, and surging concern regarding use of fossil fuels. Biomethane is a type of renewable natural gas that is produced from biogas by removing hydrogen sulfide, carbon dioxide, and moisture.

Agrochemicals Marketsize was USD 209.46 billion in 2020 and is expected to register a revenue CAGR of 3.8% during the forecast period. Growing demand for food owing to increase in global population and rising food demand are some key factors expected to drive market revenue growth during the forecast period. Agrochemicals play a significant role in modern industrialized and intensive farming methods, promote growth of crops and plants on uncultivatable land, and optimize crop yield potential in various soil types.

T-cell Therapy Marketsize was USD 4.72 billion in 2020 and is expected to register a revenue CAGR of 20.4% during the forecast period. Rising prevalence of cancer, growing application of T-Cell adoptive immunotherapy, and increasing geriatric population globally are some of the major factors driving global T-cell therapy market revenue growth. T-cell therapy is a type of immunotherapy that is used to treat different types of cancers. White blood cells play a crucial role in adaptive immune response.

Agriculture Drones Marketsize was USD 1.37 billion in 2020 and is expected to register a revenue CAGR of 34.5% during the forecast period. Rising need to enhance crop health monitoring and increase agricultural productivity in order to reduce pressure on global food supply are some factors expected to drive market revenue growth during the forecast period. Agricultural engineers, agronomists, and farmers are shifting towards Unmanned Aerial Vehicles (UAVs) to gain more efficient oversight of fields and to plan and manage operations more accurately.

About Reports and Data

RNDis a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyze consumer behavior shifts across demographics, across industries, and help clients to make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Products, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trends existent in the market. Reports and Data has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.

Contact Us:

John W Head of Business Development Reports And Data | Web: http://www.reportsanddata.com Direct Line: +1-212-710-1370 E-mail: [emailprotected]

LinkedIn | Twitter | Blogs

Read Latest Press Release @ https://www.reportsanddata.com/press-release/global-assistive-robotics-market

SOURCE Reports And Data

Read more:

Global Assistive Robotics Market Size to Reach USD 25.16 Billion in 2028, Says Reports and data - PRNewswire

Replacing manual labor by ten times, robotic applications have arrived to transform the healthcare industry for the better. Robotic applications in healthcare carry out automated actions that are repetitive, and mundane for humans, by following computerized commands. Assisting surgeons and healthcare professionals, with artificial intelligence mechanisms, has resulted in the expanded duration of attention towards the crux of a concern and not exhaust around tedious marginal efforts. Artificial intelligence software significantly reduces logistical pressure over a medical clinic followed by enhanced health tech services to be available to the seekers at their convenience evading unnecessary fatigue.

A collaborative robotic application that successfully follows human co-workers to learn about the pathways and corridors of a hospital to continue the mundane process of delivering medicines and essentials to each ward and cabin. Interestingly it has a greater capacity to function in manufacturing medicines where it can follow computerized commands to carry forward repetitive tasks of loading and unloading, bottle filling and handling liquids, etc. Moreover, warehousing facilities are also assisted by this robotic application that makes mundane medical processes easier and efficient earlier.

Rising as a Stroke rehabilitation application is an exoskeleton that helps patients affected by stroke and other impairment circumstances. This retrieves the activities and physical movement in the patients body that became stagnant after the despair of the medical condition. Robotic applications as such can reduce the patients vulnerability to taking physiotherapists help and in turn also assists the therapists in an uninterrupted workflow.

This kind of robotic application functions during surgery. The RASD assists surgeons to perform invasive surgeries that involve minute organs of the body. To reach the confined location of the body where the surgery is entitled to happen this application enables the surgeon to get sight of the actual place in maximize mode so that efficiency is delivered. Patient monitoring and patient communication are other factors controlled by this application

Robotic Applications empowered by highly efficient AI algorithms are capable of conducting a vast array of medical procedures remotely. A doctor can be consulted on these platforms and the patient can be sizably diagnosed and treated virtually without taking the pain to visit hospitals. Unless it is a treatment that is not possible to be conducted by AI algorithms because of its ignorance, minor and most common conditions can be addressed effectively.

Pharmaceutical challenges are significantly solved with greater accuracy and pace. Automated dispensing and prescription facilities such as powders, fluids, and other materials are transported appropriately enabling patients to recover faster.

This AI-powered application has a great impact on the healthcare sector. Cases of Cancer, diabetes, heart disease is easily predicted with this application, and decision-making for the doctors becomes extensively easier.

This AI-powered robotic application has time-saving qualities and is skilled enough with a high range of databases to reflect illnesses of the user. When the user reports the occurrence of certain symptoms, the application identifies the disease by comparing it to the range of databases present with it.

Besides surgical robotics in healthcare, this is another form of AI-powered robotic application that is empowered to monitor actions of a patient and guide them with delicate care while they are in their treatment phase. The virtual nurses follow up at every interval to ensure the good health of the user.

These are robotic applications that are eligible and capable of offering treatment ideas and available options for a specific medical condition. These are enhanced and personalized for the selected user considering the history and comorbidities present in their body collecting data from external research and clinical expertise imbibed in it.

In this type of application, the errors and fallacies of a particular treatment and prescription are detected. These robotic applications are careful enough to not let the medical practitioners take any harmful actions in negligence. They warn them before the commitment to avert any forthcoming risks that would be a consequence of the treatment and not the medical condition.

Share This ArticleDo the sharing thingy

About AuthorMore info about author

Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

Read this article:

10 Game-Changing Applications of Robotics in the Healthcare Industry - Analytics Insight

The way the inspections are done has changed little as well.

Historically, checking the condition of electrical infrastructure has been the responsibility of men walking the line. When they're lucky and there's an access road, line workers use bucket trucks. But when electrical structures are in a backyard easement, on the side of a mountain, or otherwise out of reach for a mechanical lift, line workers still must belt-up their tools and start climbing. In remote areas, helicopters carry inspectors with cameras with optical zooms that let them inspect power lines from a distance. These long-range inspections can cover more ground but can't really replace a closer look.

Recently, power utilities have started using drones to capture more information more frequently about their power lines and infrastructure. In addition to zoom lenses, some are adding thermal sensors and lidar onto the drones.

Thermal sensors pick up excess heat from electrical components like insulators, conductors, and transformers. If ignored, these electrical components can spark or, even worse, explode. Lidar can help with vegetation management, scanning the area around a line and gathering data that software later uses to create a 3-D model of the area. The model allows power system managers to determine the exact distance of vegetation from power lines. That's important because when tree branches come too close to power lines they can cause shorting or catch a spark from other malfunctioning electrical components.

AI-based algorithms can spot areas in which vegetation encroaches on power lines, processing tens of thousands of aerial images in days.Buzz Solutions

Bringing any technology into the mix that allows more frequent and better inspections is good news. And it means that, using state-of-the-art as well as traditional monitoring tools, major utilities are now capturing more than a million images of their grid infrastructure and the environment around it every year.

AI isn't just good for analyzing images. It can predict the future by looking at patterns in data over time.

Now for the bad news. When all this visual data comes back to the utility data centers, field technicians, engineers, and linemen spend months analyzing itas much as six to eight months per inspection cycle. That takes them away from their jobs of doing maintenance in the field. And it's just too long: By the time it's analyzed, the data is outdated.

It's time for AI to step in. And it has begun to do so. AI and machine learning have begun to be deployed to detect faults and breakages in power lines.

Multiple power utilities, including Xcel Energy and Florida Power and Light, are testing AI to detect problems with electrical components on both high- and low-voltage power lines. These power utilities are ramping up their drone inspection programs to increase the amount of data they collect (optical, thermal, and lidar), with the expectation that AI can make this data more immediately useful.

My organization, Buzz Solutions, is one of the companies providing these kinds of AI tools for the power industry today. But we want to do more than detect problems that have already occurredwe want to predict them before they happen. Imagine what a power company could do if it knew the location of equipment heading towards failure, allowing crews to get in and take preemptive maintenance measures, before a spark creates the next massive wildfire.

It's time to ask if an AI can be the modern version of the old Smokey Bear mascot of the United States Forest Service: preventing wildfires before they happen.

Damage to power line equipment due to overheating, corrosion, or other issues can spark a fire.Buzz Solutions

We started to build our systems using data gathered by government agencies, nonprofits like the Electrical Power Research Institute (EPRI), power utilities, and aerial inspection service providers that offer helicopter and drone surveillance for hire. Put together, this data set comprises thousands of images of electrical components on power lines, including insulators, conductors, connectors, hardware, poles, and towers. It also includes collections of images of damaged components, like broken insulators, corroded connectors, damaged conductors, rusted hardware structures, and cracked poles.

We worked with EPRI and power utilities to create guidelines and a taxonomy for labeling the image data. For instance, what exactly does a broken insulator or corroded connector look like? What does a good insulator look like?

We then had to unify the disparate data, the images taken from the air and from the ground using different kinds of camera sensors operating at different angles and resolutions and taken under a variety of lighting conditions. We increased the contrast and brightness of some images to try to bring them into a cohesive range, we standardized image resolutions, and we created sets of images of the same object taken from different angles. We also had to tune our algorithms to focus on the object of interest in each image, like an insulator, rather than consider the entire image. We used machine learning algorithms running on an artificial neural network for most of these adjustments.

Today, our AI algorithms can recognize damage or faults involving insulators, connectors, dampers, poles, cross-arms, and other structures, and highlight the problem areas for in-person maintenance. For instance, it can detect what we call flashed-over insulatorsdamage due to overheating caused by excessive electrical discharge. It can also spot the fraying of conductors (something also caused by overheated lines), corroded connectors, damage to wooden poles and crossarms, and many more issues.

Developing algorithms for analyzing power system equipment required determining what exactly damaged components look like from a variety of angles under disparate lighting conditions. Here, the software flags problems with equipment used to reduce vibration caused by winds.Buzz Solutions

But one of the most important issues, especially in California, is for our AI to recognize where and when vegetation is growing too close to high-voltage power lines, particularly in combination with faulty components, a dangerous combination in fire country.

Today, our system can go through tens of thousands of images and spot issues in a matter of hours and days, compared with months for manual analysis. This is a huge help for utilities trying to maintain the power infrastructure.

But AI isn't just good for analyzing images. It can predict the future by looking at patterns in data over time. AI already does that to predict weather conditions, the growth of companies, and the likelihood of onset of diseases, to name just a few examples.

We believe that AI will be able to provide similar predictive tools for power utilities, anticipating faults, and flagging areas where these faults could potentially cause wildfires. We are developing a system to do so in cooperation with industry and utility partners.

We are using historical data from power line inspections combined with historical weather conditions for the relevant region and feeding it to our machine learning systems. We are asking our machine learning systems to find patterns relating to broken or damaged components, healthy components, and overgrown vegetation around lines, along with the weather conditions related to all of these, and to use the patterns to predict the future health of the power line or electrical components and vegetation growth around them.

Buzz Solutions' PowerAI software analyzes images of the power infrastructure to spot current problems and predict future ones

Right now, our algorithms can predict six months into the future that, for example, there is a likelihood of five insulators getting damaged in a specific area, along with a high likelihood of vegetation overgrowth near the line at that time, that combined create a fire risk.

We are now using this predictive fault detection system in pilot programs with several major utilitiesone in New York, one in the New England region, and one in Canada. Since we began our pilots in December of 2019, we have analyzed about 3,500 electrical towers. We detected, among some 19,000 healthy electrical components, 5,500 faulty ones that could have led to power outages or sparking. (We do not have data on repairs or replacements made.)

Where do we go from here? To move beyond these pilots and deploy predictive AI more widely, we will need a huge amount of data, collected over time and across various geographies. This requires working with multiple power companies, collaborating with their inspection, maintenance, and vegetation management teams. Major power utilities in the United States have the budgets and the resources to collect data at such a massive scale with drone and aviation-based inspection programs. But smaller utilities are also becoming able to collect more data as the cost of drones drops. Making tools like ours broadly useful will require collaboration between the big and the small utilities, as well as the drone and sensor technology providers.

Fast forward to October 2025. It's not hard to imagine the western U.S facing another hot, dry, and extremely dangerous fire season, during which a small spark could lead to a giant disaster. People who live in fire country are taking care to avoid any activity that could start a fire. But these days, they are far less worried about the risks from their electric grid, because, months ago, utility workers came through, repairing and replacing faulty insulators, transformers, and other electrical components and trimming back trees, even those that had yet to reach power lines. Some asked the workers why all the activity. "Oh," they were told, "our AI systems suggest that this transformer, right next to this tree, might spark in the fall, and we don't want that to happen."

Indeed, we certainly don't.

Read the original post:

Q&A: Ghost Robotics CEO on Armed Robots for the U.S. Military - IEEE Spectrum

In recent weeks, Needham & Co.'s team of medtech analysts met with a series of investors across several regions of the United States. We previously shared theirinsights onAtriCure,Haemonetics,NuVasive, andLivaNova. Globus Medical was also among the most frequently asked about companies during those conversations, according to a report from Needham's Mike Matson, David Saxon, and Joseph Conway. More specifically, investors have honed in on the company's success in spine robotics.

TheAudubon, PA-based company won FDA clearance forExcelsius3D in August. The intraoperative 3-in-1 imaging system was previously identified by MD+DI as one of the 10 most anticipated new medical devices of the year.

"[Globus Medical's] above-market revenue grwoth has been driven by implant pull-through from the ExcelsiusGPS robot, sales force expansion, and new product launches," the analysts note in the report. "Weexpect this to continue into 2022, which should be augmented by the launch of its Excelsius3D imaging system. Recent checks continue to suggest GMED's ExcelsiusGPS platform has advantages over competitive robotics platforms."

Globus saysExcelsius3D consolidates 360-degreecone-beam CT, fluoroscopy, and high-resolution digital radiography into one unified solution, eliminating the need for multiple imaging systems during one procedure. The company touts the system's precise motion, omnidirectional wheels, and intelligent maneuverability. Excelsius3Dfunctions as astandalone imaging unit, or as an extension to the Excelsiusecosystem, Globus said.

Excelsius3Dunderwent rigorous performance testing of various capabilities to support this 510(k) clearance, as it is our first imaging system 510(k) to be filed with the FDAsOffice of In Vitro Diagnostics and Radiological Health, said Kelly Baker, PhD, senior vice president ofregulatory and clinical affairs at Globus.We are excited to expand into a new product space with the FDA and help bring this truly innovative system to market.

The company noted that it is ramping up production and preparing forcommercial release of Excelsius3D in the fourth quarter. The system isdesigned for 2D fluoroscopy, 2D digital radiography, and 3D imaging of adult and pediatric patients. It is indicated for use where a physician benefits from 2D and 3D information on anatomic structures and high contrast objects with high x-ray attenuation such as bony anatomy and metallic objects.

Globus also recently announced the first surgery performed with itsExcelsiusGPSCranial Solutions for robot-assisted navigated deep brain stimulation (DBS). Cranial Solutions is the latest evolution of the ExcelsiusGPSplatform, transforming it to a 2-in-1 application system, and is now commercially available inthe United States.

ExcelsiusGPSCranial Solutions combines streamlined MRI preoperative planning with fully integrated robotic trajectory alignment for a broad spectrum of cranial stereotactic procedures, Globus said. The platform is designed to adapt to each surgeons workflow and preferred instruments.

View post:

Globus Medical Is Firing on All Cylinders with Its Spine Robotics Platform (and Investors Are Noticing) - Medical Device and Diagnostics Industry

Portland, OR, Oct. 20, 2021 (GLOBE NEWSWIRE) -- According to the report published by Allied Market Research, the global adaptive robotics market generated $4.97 billion in 2020, and is anticipated to reach $55.09 billion by 2030, manifesting a CAGR of 26.3% from 2021 to 2030. The report offers an in-depth analysis of the market size, emerging and current trends, future estimations, and key players.

Surge in applications of collaborative robots, acceptance for automation in manufacturing industries, and rapid industrialization & automation drive the global adaptive robotics market growth. On the other hand, high cost of robots, high labor cost, and lack of skilled labor hinder the growth of the market. On the contrary, acceptance and integration of the Internet of Things will open several opportunities to the market players in the future.

Download Sample PDF (244 Pages with More Insight): https://www.alliedmarketresearch.com/request-sample/4008

COVID-19 scenario:

The report segments the global adaptive robotics market on the basis of component, application, end-user, and region.

Get detailed COVID-19 impact analysis on the Adaptive Robotics Market Request Here

Based on the component, the software segment accounted for the largest market share in 2020, contributing to more than half of the total share, and is expected to maintain the lead throughout the forecast period. The same segment is estimated to witness the fastest CAGR of 26.7% from 2021 to 2030. The report also covers the hardware segment.

Based on application, the handling segment contributed to the highest market share in 2020, contributing to more than two-fifths of the total market share, and is anticipated to dominate the market during the forecast period. On the other hand, the assembling segment is expected to manifest the fastest CAGR of 27.4% from 2021-2030.

Based on region, North America contributed to the highest share in 2020, holding more than two-fifths of the total share, and is expected to maintain dominance throughout the forecast period. On the other hand, Asia-Pacific is expected to portray the fastest CAGR of 28.2% during the forecast period.

Schedule a FREE Consultation Call with Our Analysts/Industry Experts to Find Solution for Your Business @ https://www.alliedmarketresearch.com/connect-to-analyst/4008

Top Manufacturers:

Key players of the global adaptive robotics market analyzed in the research include Kuka AG, ABB, Robotiq Inc., Soft Robotics Inc., SCHMALZ, Weiss Robotics GmbH & Co Kg, Yaskawa Electric Corporation, Universal Robots A/S, SoftBank Group Corp, and Rethink Robotics GmbH.

Avenue Library Subscription | Request for 14 days free trial of before buying:https://www.alliedmarketresearch.com/avenue/trial/starter

Get more information:https://www.alliedmarketresearch.com/library-access

Similar Reports:

Industrial Robot Controllers Market - Global Opportunity Analysis and Industry Forecast, 20202027

Industrial Robotic Motors Market - Global Opportunity Analysis and Industry Forecast, 20202027

Waste Sorting Robots Market - Global Opportunity Analysis and Industry Forecast, 2020-2027

Fiberglass Cutting Robots Market - Global Opportunity Analysis and Industry Forecast, 2021-2028

About Allied Market Research:

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

Contact us:

David Correa5933 NE Win Sivers Drive#205, Portland, OR 97220United StatesToll Free (USA/Canada): +1-800-792-5285, UK: +44-845-528-1300Hong Kong: +852-301-84916India (Pune): +91-20-66346060Fax: +1-855-550-5975help@alliedmarketresearch.comWeb:https://www.alliedmarketresearch.comFollow Us on|Facebook|Twitter|LinkedIn

Read the original:

Global adaptive robotics market to reach $55.09 billion by 2030 - GlobeNewswire

The University of Bristol is leading an initiative to make cutting-edge robotics, drones and testing spaces available for nuclear research with the launch of four Hot Robotics facilities in the UK.

The aim of the game-changing National Nuclear User Facility for Hot Robotics (NNUF-HR) is to make robotics and facilities readily available to researchers from both academia and industry, to facilitate ground-breaking, impactful nuclear research.

Funded by the Engineering and Physical Sciences Research Council (EPSRC), the four NNUF-HR sites are managed by the individual partners and are strategically dispersed across the UK. These include the University of Bristols Fenswood Facility in Somerset; the RACE (Remote Applications in Challenging Environments) at UKAEA (UK Atomic Energy Authority) Facility at Culham in Oxfordshire, The University of Manchesters RAICo One in Whitehaven and the National Nuclear Laboratorys (NNL) Workington Facility in Cumbria.

Each facility provides technology and test spaces, as well as technical support, that would otherwise be very difficult - or very expensive - to access. At the different sites, users can hire cutting-edge equipment, including quadruped robots and unmanned aerial vehicles (drones), to use on-site or at their own locations. They can also bring their own technology to test in different simulated environments and mock-up rigs.

The University of Bristol's Fenswood facility provides substantial space fordeveloping mobile robotic applications as enhanced tools for environmental field surveying. Its main capabilities focus on UAVs and mobile ground vehicles and it offers 245 acres ofspace for testing the deployment of drone and ground robots.

Professor Tom Scott, NNUF-HR Academic lead from the University of Bristol said: The aim of this initiative is to provide the UK nuclear research and development community with better equipment and facilities. As someone who has worked in the field for many years, the fact we now have these four fantastic facilities and a website where users can actually select from a wide range of cutting-edge equipment to hire, I would say this is truly a game-changer for the industry.

Im delighted the Fenswood Facility here at Bristol is now available to Hot Robotics users. The amount of ground and air space we have available for test deployments is a fantastic resource to complement the wide range of robotic equipment and sensor systems on offer.

The Hot Robotics website (https://hotrobotics.co.uk/) represents another first-of-its-kind for the industry, giving users the ability to view, book and learn more about the technology and facilities available at the four sites.

While the facilities are available for use by the whole UK nuclear energy R&D community, UK academic researchers can access equipment from the NNUF facilities for free through the Access Scheme Fund which runs quarterly application rounds. However, researchers can apply for grants of up to 5,000 at any time.

The NNUF Management Group, comprising of Professor Chris Grovenor of the University of Oxford, Professor Malcolm Joyce of Lancaster University, and Professor Francis Livens of the University of Manchester, commented:

Were pleased to see the NNUF-funded Hot Robotics facilities come online, offering a wide range of innovative robotics equipment to serve key nuclear industry clusters around the country. We urge both academia and industry to make use of these facilities and look forward to seeing researchers advance the technologies to solve challenges in the nuclear sector.

Professor Barry Lennox, who leads the NNUF-HR facility at The University of Manchester, said: The RAICo One facilities provide a unique environment where researchers from academia can work directly with engineers and operations staff from across the NDA estate and the nuclear supply chain, to ensure that the robotic systems they are developing address real industrial challenges and can exploit the direct route to industry deployment that is being established.

Dr Darren Potter, Capability Leader (Plant Intervention) at the National Nuclear Laboratory (NNL), said: We are delighted to unveilNNLsNational Nuclear User Facility for Hot Robotics (NNUF-HR), using our world-leading facilities for large-scale scientific testing and deployments. The partnership will enable us to expand NNLs centre for robotics at the Workington facility in Cumbria, which plays an active role in the UKs cutting-edge nuclear research across this exciting field of study.

Professor Rob Buckingham, Director of UKAEAs RACE facility, said: The purpose of NNUF is to accelerate the development of capability and capacity in the supply chain, from invention to scaled-up operations, in robotics and smart machines. The NNUF-HR facility at RACE will bring together end users and businesses to help create a viable innovation pipeline.

The National Nuclear User Facility for Hot Robotics is a partnership between the University of Bristol,RACE (Remote Applications in Challenging Environments) at UKAEA (UK Atomic Energy Authority), The University of Manchester, and the National Nuclear Laboratory (NNL). NNUF-HR has four partners with facilities strategically dispersed across the UK:

University of Bristol - Fenswood Facility, Somerset The University of Bristol's Fenswood facility provides substantial space fordeveloping mobile robotic applications as enhanced tools for environmental field surveying. Its main capabilities focus on UAVs and mobile ground vehicles and it offers 245 acres ofspace for testing the deployment of drone and ground robots. The equipment and facility is split between the new mezzanine kitchen/meeting area and the robot barn. This areaincludes a hot-desking and group meeting space.

UK Atomic Energy Authority - RACE Facility, CulhamRACE (Remote Applications in Challenging Environments) forms the primary NNUF-HR hub at the UK Atomic Energy Authority site in Oxfordshire. A large array of static and mobile robots, mock-ups and sensors are housed here, with additional functionality provided through 'hot' test capabilities and portable solutions that allow the transport of equipmentto user locations.

National Nuclear Laboratory - Workington Facility, CumbriaThe Workington Facility in Cumbria, offers plant representative mock-ups of decommissioning cells, store environments, and replica setups of Sellafield site active demonstrators for laser cutting & size reduction and sort & segregation, NNL provides 900m2 of flexible floorspace for users to develop, test, and demonstrate their robotic solutions on an industrial scale. Users will benefit from NNLs management of the Sellafield-led Central Robotics and AI Programme (C-RAI), as well as NNLs experience in testing and deployment of robotics and remote engineering solutions for characterisation and plant intervention within Sellafield plants.

The University of Manchester RAICo, WhitehavenThe University of Manchester is moving their NNUF-HR equipment to RAICo One in Whitehaven, Cumbria. RAICo One is a collaborative facility that has been set up as a partnership between the University of Manchester, UKAEA, NNL and Sellafield Ltd that will allow researchers from academia to work directly with robotics experts from industry. The facility offers access to mock-ups and robotic equipment to enable researchers to address nuclear decommissioning challenges. Equipment available includes an array of submersible vehicles and underwater manipulators, together with a pond equipped with an underwater and above water Vicon positioning system, where aquatic based systems can be tested. In addition, there is a wide range of sensors available including thermal cameras, radiation detectors and simulated radiation sources and detectors that are ideal for testing robot autonomy in radiation environments.

Funding for UK Academic ResearchersNNUF have a fund, available to UK Academic researchers to access equipment from the NNUF facilities for free. Calls for access to the Hot Robotics facilities, otherwise known as "application rounds", will run quarterly on a rolling basis. Applications for under 5k can be submitted at any time: Calls for access | National Nuclear User Facility (ox.ac.uk)

The National Nuclear User Facility (NNUF) was launched when HM Governments announced its Nuclear Industrial Strategy in 2013. The aim of the NNUF is to provide the UK nuclear research and development community with better equipment and facilities. These NNUF facilities are available for use by the whole UK nuclear energy R&D community.Find out more: nnuf.ac.uk

Link:

October: Hot Robotics | News and features - University of Bristol

Quadrupedal robots are one of the most interesting developments in robotics in recent years. Theyre small, nimble, and able to traverse environments that frustrate wheeled machines. So, of course, it was only a matter of time until someone put a gun on one.

The image above shows a quadrupedal robot a Vision 60 unit built by US firm Ghost Robotics thats been equipped with a custom gun by small-arms specialists Sword International. It seems the gun itself (dubbed the SPUR or special purpose unmanned rifle) is designed to be fitted onto a variety of robotic platforms. It has a 30x optical zoom, thermal camera for targeting in the dark, and an effective range of 1,200 meters.

Whats not clear is whether or not Sword International or Ghost Robotics are currently selling this combination of gun and robot. But if theyre not, it seems they will be soon. As the marketing copy on Swords website boasts: The SWORD Defense Systems SPUR is the future of unmanned weapon systems, and that future is now.

The machine was shown off for the first time at the Association of the United States Armys 2021 annual conference earlier this week. The conferences bills itself as a landpower exposition and professional development forum held in Washington DC, October 11-13.

Details about the partnership between Ghost and Sword are unclear, but Ghosts quadrupedal robots are already being tested by the US military. Last year, the 325th Security Forces Squadron at Tyndall Air Force Base in Florida became the first unit in the Department of Defense to use quadrupedal robots in regular operations. It uses them to patrol the bases perimeter, navigating swampy areas that arent desirable for human beings and vehicles, according to an interview with Ghost Robotics CEO Jiren Parikh.

Although reconnaissance is one of the most obvious use-cases for robot dogs, manufacturers are slowly experimenting with other payloads. As well as providing remote video and mapping, the machines could be used as mobile cell towers, to defuse bombs, or to detect chemical, biological, radiological, and nuclear matter (otherwise known as CBRN).

And, of course, they can become weapons themselves.

Boston Dynamics, the best-known manufacturer of quadrupedal robots and makers of Spot, has a strict policy agains weaponizing its machines. Other manufacturers, it seems, arent so picky. After all, plenty of companies already sell uncrewed gun platforms that use tank treads or wheels, so adding the same basic kit to legged machines isnt much of a stretch.

The bigger question is how these robots will be deployed in the future and what level of oversight will be required when they start firing lethal rounds at humans.

For a while now, experts have been warning about the slow rise in the use of killer robots (known as lethal autonomous weapon systems, or LAWS, in official jargon), and official US policy does not prohibit their development or deployment. Many groups are campaigning for a preemptive ban on such systems, but, in the meantime, it seems companies will continue to build what is possible. And that means putting guns on robot dogs.

See the original post:

Theyre putting guns on robot dogs now - The Verge

When flying cargo from one part of the world to another, you typically need a pilot for two parts: The take-off and the landing. As so elegantly outlined in the 1980 Jim Abrahams movie !Airplane the rest of the time, youre pretty much on instruments. Reliable Robotics is aiming to solve that pesky needing-to-have-a-pilot-in-the-plane problem by, instead, putting the pilot on the ground when you need it, and leave the plane to find its destination on its own the rest of the time. Coatue Ventures, Lightspeed Ventures, Eclipse Ventures, Teamworthy Ventures and Pathbreaker Ventures all believe this is the future, to the point of backing the Mountain View, California-based company with a $130 million of total funding. The company today announced its $100 million Series C funding, led by Coatue Management.

The funds will go toward scaling the team and supporting its first aircraft certification program working toward commercial cargo operations. In the first instance, the company is working on automation systems for existing aircraft. They have been experimenting and developing using a Cessna 172, which started flying unmanned flights a couple of years ago.

Back in September 2019, Reliable Robotics flew a Cessna 172 with no one on board in airspace just outside of San Jose, California.

The company was founded in 2017, and was operating in stealth mode until last year. Its technology handles all phases of flight, including taxi, takeoff, landing and parking, while licensed pilots remotely supervise the flights from a control center. Reliable Robotics suggests that the systems theyve developed are able to auto-land on smaller airstrips in rural or remote areas without requiring additional infrastructure or technology to be installed at the airports.

The business case is simple: Pilots are the most expensive aspects of running cargo operations, with similar restrictions to road-based trucking operations: The vast majority of trucking is boring and monotonous work where the drivers are the most common source of failure. In the air, replacing the qualified pilots with autonomous systems that can be overridden from the ground means that the cost goes down, and the utilization of the aircraft skyrockets.

Who needs pilots, anyway? Image Credits: Reliable Robotics

We believe Reliable Robotics is a leader in aircraft automation for commercial aviation, said Jaimin Rangwalla, a senior managing director at Coatue. We were impressed by the teams clear vision, measured certification progress and track record of industry achievement. We are proud and excited to support Reliables goal to be the first to deliver FAA-certified, remotely piloted systems to market.

The companys main selling point is connecting regional and municipal airports across the country. For starters, the company is focusing on increasing efficiency and decreasing the cost of hauling cargo around. Reliable Robotics also hints at a future where passengers can step aboard the remotely piloted planes. The company is also evaluating emerging electric and hybrid aircraft platforms.

Of course, people are a little twitchy about the safety aspects of self-driving cars and planes add a literal additional dimension to the mix. The Federal Aviation Administration (FAA) is keeping a close eye on Reliable and other commercial operators in this space, but the agency has greenlit a number of authorizations for experimental unmanned aircraft.

We appreciate our public-private partnership with the FAA and NASA as we work to integrate our Remotely Operated Aircraft System into the airspace. We intend to bring unprecedented safety and reliability to todays commercial aircraft, said Robert Rose, co-founder and CEO of Reliable Robotics. Close collaboration with our public institutions, strong backing from visionary investors and keen interest within the cargo industry further accelerates our mission to expand everyones access to air transportation.

The rest is here:

Reliable Robotics lifts $100M to take autonomous cargo planes where none have gone before - TechCrunch