Category Archives: Robotics

The partnership will see 1,500 intelligent material handling robots deployed by 2026.

Sept. 30, 2022 -Tokyo -Dexterity, the creators of full capability robot solutions, announced today a strategic partnership with the Sumitomo Corporation to deploy 1,500 Dexterity-powered robots in warehouses across Japan.Sumitomo Corporation, a Japan-based Fortune 500 multinational, signed an exclusive distributorship agreement in Japan with Dexterity to push into the Robots as a Service (RaaS) business in Japanese warehouses. Prior to signing this distribution agreement, Sumitomo invested in Dexterity in 2020 through Presidio Ventures Inc., Sumitomos U.S.-based corporate venture capital arm.Using Dexteritys SaaS-based robotic intelligence platform, will help customer benefit from full task robots - standard industrial robot arms equipped with Dexteritys intelligence software that helps them solve the toughest to automate jobs in the warehouse. Dexteritys full-stack robotic platform provides robots machine learning-enforced capabilities to help them build multi-SKU pallets on the fly, singulate and induct messy flows of parcels and bags, as well as picking and packing easily damaged items like bread and cake.To date, Dexteritys engineers have developed, tested, and overseen the installation of all its robots, resulting in more than 40 million goods picked in production at warehouses across the U.S.Working together with Sumitomo will expand access to full task robots in Japan and ensure these systems will fit within existing Japanese warehouse workflows.The full task robots we have deployed have only increased demand for flexible automation that can operate in existing workflows and infrastructure, said Dexterity CEO Samir Menon. Partnering with Sumitomo will accelerate Dexteritys customers in getting FTE robot systems up and running in their facilities.In addition to working with Dexterity to deploy robots with Japanese customers, Sumitomo will also work with Dexterity to open a demo facility in Japan. Opening in October 2022, the facility will demonstrate to Japanese supply chain leaders how inbound and outbound materials at a warehouse can be connected with intelligent robots.Sumitomo plans to deploy Dexteritys parcel singulation and induction solution with its first Japanese customer by Q1 2023.The announcement follows news that Dematic, one of the premier providers of supply chain solutions, has partnered with Dexterity to expand deployments in North America and Europe.

Dexterity, Inc. creates full time equivalent robot solutions for logistics, warehouses, and supply chain customers. The companys software-as-a-service (SaaS) platform equips robots with the vision, sense of touch, and intelligence to multi-task, handle complicated goods, fit within existing workflows, and achieve beyond human throughput in repetitive tasks. Dexterity solves labor shortages by delegating material handling work - such as sortation, palletizing and fulfillment - so employees can focus on higher-level, cognitive work. The companys full-stack robotics systems are in production 24/7 with a support and performance guarantee. Dexteritys robots excel in existing infrastructure with unpredictable environments.

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Dexterity and Sumitomo Partner to Bring Next Generation Robotics to Japanese Warehouses - Automation.com

DUBLIN--(BUSINESS WIRE)--The "Warehouse Robotics Market Intelligence Report - Global Forecast to 2027" report has been added to ResearchAndMarkets.com's offering.

The Global Warehouse Robotics Market is projected to reach USD 10,927.02 million by 2027 from USD 4,653.42 million in 2021, at a CAGR 15.28% during the forecast period.

Market Statistics:

The report provides market sizing and forecast across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available.

In this report, the years 2019 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.

Market Segmentation & Coverage:

The report on warehouse robotics identifies key attributes about the customer to define the potential market and identify different needs across the industry. Understanding the potential customer group's economies and geographies can help gain business acumen for better strategic decision-making.

This market coverage across different industry verticals reveals the hidden truth about the players' strategies in different verticals and helps the organization decide target audience. This report gives you the composite view of sub-markets coupled with comprehensive industry coverage and provides you with the right way of accounting factors such as norms & regulations, culture, to make right coverage strategy for your market plan.

This research report categorizes the warehouse robotics to forecast the revenues and analyze the trends in each of the following sub-markets:

Function:

Type:

Application:

Region:

Company Usability Profiles:

For more information about this report visit https://www.researchandmarkets.com/r/3g47lj

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Global Warehouse Robotics Market Intelligence Report to 2027 - Featuring ABB, Bastian Solutions, Daifuku and IAM Robotics Among Others -...

The Denham Venom Robotics Team won the 2022 Dow Red Stick Rumble held at Denham Springs High School along with their alliance partners Ramageddon Robotics from Lafayette, Louisiana, and the Tigerbots from Boutte, Louisiana.

DENHAM SPRINGS Denham Venom, the Denham Springs High School (DSHS) Robotics Team, has partnered with NASAs Michoud Assembly Facility in New Orleans to become a NASA House Team.

The Michoud Assembly Facility is one of the largest manufacturing facilities in the world and has housed every major NASA rocket since the first Saturn rockets. It is currently home to the Space Launch System (SLS) project, the most powerful rocket ever built, which will send U.S. astronauts back to the moon.

As part of Team NASA, Denham Venom will be paired with a NASA Engineer who is familiar with the Denham Springs community to mentor student members through the build season. The partnership was set up in part by DSHS Alumnae Lisa Comeaux, who is a NASA Quality Control Engineer working on the upper stage of the SLS System.

NASA Engineer Lisa Comeaux is the newest addition to the mentoring team at the Denham Springs High School STEM and Robotics Center. She will be mentoring FIRST Robotics Team 8044, Denham Venom, in partnership with the NASA Michoud Facility in New Orleans, Louisiana.

Not only will the team benefit from Comeauxs experience as an engineer, but the students will be invited to work with other NASA House Teams across the country. NASA is also pledging financial and material support throughout the competition season, Denham Venom Coach Daniel Eiland said. This is an amazing opportunity for our students.

Comeaux is a Denham Springs native who graduated high school in 1996 as class co-valedictorian. She has held many positions within NASA and its subcontractors Lockheed Martin and Boeing. She earned her bachelors degree in mathematics from LSU in 2000.

I encourage students to not be afraid to follow their dreams. Dont let anyone tell you that you cant achieve your dreams, Comeaux said, adding a special message for the girl members of the Denham Venom team who are considering pursuing a STEM career: When you find yourself alone in a crowd of boys and told that you cant do it because you are girl, remind yourself Yes, you can, and it is not just for boys. It is okay to stand out and break the glass ceiling. In doing so you will be the light in the darkness and inspiration for others, Comeaux said.

Many of the students participated in a tour last school year of the Michoud Assembly Facility, where they were allowed to see various stages of the SLS rocket under construction.

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Denham Springs Robotics team partners with NASA as a NASA house team - an17.com

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Logistics operations have traditionally been heavy in their reliance on manpower. But with the current complex market dynamics, soaring operational costs and scarce manpower, there is a need to automate logistics now more than ever. To fulfil increasing volumes and sporadic demand, e-commerce and third-party logistics (3PL) players are looking to streamline their logistics operations to make them highly responsive and adaptable. The answer? Flexible and scalable intelligent robotic automation.

Modern robotics technology has the potential to optimise supply chains by making them robust and resilient to handle dynamic supply chain and logistics requirements and trends. Here is why the future of logistics operations across the world relies on robotics.

Current challenges in logistics

The logistics industry currently is riddled with several challenges such as rising consumer expectations and demands, inaccuracy and inefficiency of operations, and unavailability of skilled manpower as well as specialised experts. So far, this has tied logistics operations closely with high operational costs, damages, pilferages and errors leading to reduced customer satisfaction. With the ongoing sharp rise in online buying behaviour, it is, therefore, imperative for industry players to overcome these issues and leverage the benefits of automation to better serve end consumers.

Enter robotics tech

Autonomous mobile robots (AMRs) and automated guided vehicles (AGVs) are at the forefront of robotics tech in logistics automation and help solve a lot of the operational and manpower-related challenges mentioned earlier. They can navigate their environment by using high-definition cameras, sensors, magnetic tapes, laser, Machine Learning (ML) and Artificial Intelligence (AI) algorithms while working alongside humans. Here is what AMRs/AGVs bring to the table:

Higher processing speed: The movement of goods can be easily outsourced to AMRs/AGVs. With a fleet, they can keep the logistics operations running continuously for 24 hours with rotation and do so with high accuracy and energy efficiency.

Higher personnel productivity: With AMRs/AGVs taking over mundane and repetitive tasks, human resources can be freed up to focus on other key departments. This helps in significantly increasing personnel productivity.

Sustainable workflow: Thanks to unique AI algorithms, AMRs/AGVs can compute the shortest and most efficient path for material handling while manoeuvring around human workers. This makes them highly adaptable, sustainable, energy and process-efficient.

Less area required: Several small and mid-sized warehouses and fulfilment centres operate with limited space availability. AMRs/AGVs come in handy here as they are a lot more compact compared to other material handling systems. This helps in employing them even in smaller logistics outfits.

Lowers personnel injuries and damage to goods: The ability of AMRs to navigate around other workers and obstacles prevents collisions and helps reduce workplace injuries and damages.

Trends driving AMR adoption

Need for automation in post-COVID economy: From the onset of COVID-19, automation has become an indispensable tool that has supercharged many industries in terms of efficiency and speed. Since it is actively sought out in the current climate, there is a big demand for AMRs/AGVs to automate supply chains and improve overall efficiency and productivity in logistics operations.

Rise in micro fulfilment: With the rise of quick commerce and customer expectations, there is a need for an omnichannel approach to fulfilment. This need has brought about a big demand for AMRs/AGVs that facilitate automation in both the consumer and industrial sectors. Consequently, this has led to an increase in micro fulfilment centres which are outfitted with these scalable and dynamic robotic solutions that can meet the current market needs.

RaaS (robotics-as-a-service): One of the key proponents for increased AMR/AGV adoption is the availability of the RaaS (Robotics-as-a-Service) model. RaaS makes automation a possible scenario for many e-commerce, retail and logistics companies by lowering adoption barriers. Some of its benefits include, low cost for automation adoption, energy efficiency, easy scalability based on business requirements, and all inclusive service (i.e. installation, maintenance and training).

Robotics is the future

AMRs/AGVs can optimise and revolutionise logistics like never before. They are incredibly agile, dynamic, scalable, energy, process, space and cost-efficient, all the ingredients needed to run a highly optimised logistics supply chain. With AMRs/AGVs' efficiency combined with RaaS' flexibility, running a logistics operation which is both sustainable and scalable to handle modern customer expectations is now a reality.

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Why the Future Of Logistics Operations Relies On Intelligent Robotics - Entrepreneur

MOUNTAIN VIEW, Calif. and OMAHA, Neb., Sept. 29, 2022 /PRNewswire/ -- Kodiak Robotics, Inc., a leading self-driving trucking company, today announced its collaboration with Werner Enterprises, one of the nation's largest transportation and logistics providers, to establish an autonomous trucking lane and to showcase how efficiently autonomous trucks can be used with a transfer hub model at truckports. The relationship commenced in August with a week-long pilot program in which a Kodiak truck, accompanied by a human safety driver at all times, completed four tours involving eight unique trips between Dallas and Lake City, Florida. Werner Enterprises also joined Kodiak's Partner Deployment Program, which helps carriers establish autonomous freight operations and seamlessly integrate the Kodiak Driver, Kodiak's self-driving system, into their fleet.

"Working with Kodiak enables us to efficiently incorporate new technologies into our business while giving us a competitive edge," said Werner's Senior Vice President of Van/Expedited Chad Dittberner. "We're eager to establish the hybrid model of drivers and ongoing autonomous lanes to create new and unparalleled levels of efficiency while staying focused on Werner's value of putting safety first."

During its pilot with Werner, Kodiak completed a total of 152 hours of driving time and achieved 100 percent on-time delivery performance. Werner had trailers ready for a Kodiak self-driving truck to pick up on both ends of the trip. Werner's local drivers completed the first-mile pickups and last-mile deliveries. This truckport model maximizes the amount of time the Kodiak Driver spends driving.

"Werner's vision for incorporating autonomous trucks into their future operations demonstrates a fundamental understanding of where autonomous technology fits within the trucking industry," said Don Burnette, Founder and CEO, Kodiak. "The Kodiak Driver is designed to do the often-undesirable highway portions of long-haul routes, allowingdrivers to handle the deliveries that let them sleep in their own beds at night. We look forward to continuing our collaboration with Werner and introducing new permanent lanes together."

The joint effort with Werner Enterprises is the most recent carrier relationship to be announced by Kodiak. Earlier this year, the company announced partnerships with U.S. Xpress, 10 Roads Express and CEVA Logistics.

About Kodiak Robotics, Inc.

Kodiak Robotics, Inc. was founded in 2018 to develop autonomous technology that carries freight forward so people, partners, and the planet thrive. The company is developing an industry-leading technology stack purpose-built specifically for long-haul trucks, making the freight industry safer and more efficient. Kodiak's unique modular hardware approach integrates sensors into a streamlined sensor-pod structure that optimizes for perception, scalability, and maintainability. The company delivers freight for its customers along six routes in Texas and Oklahoma, operating autonomously on the highway portions of the routes. Learn more about Kodiak on the web at kodiak.ai, and on LinkedIn and Twitter. You can find the company press kit HERE.

About Werner Enterprises

Werner Enterprises, Inc. (Nasdaq: WERN) delivers superior truckload transportation and logistics services to customers across the United States, Mexico and Canada. With 2021 revenues of $2.7 billion, an industry-leading modern truck and trailer fleet, more than 14,000 talented associates and our innovative Werner EDGE technology, we are an essential solutions provider for customers who value the integrity of their supply chain and require safe and exceptional on-time service. Werner provides Dedicated and One-Way Truckload services as well as Logistics services that include truckload brokerage, freight management, intermodal and final mile. As an industry leader, Werner is deeply committed to promoting sustainability and supporting diversity, equity and inclusion.

SOURCE Kodiak Robotics

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Werner Enterprises and Kodiak Robotics Collaborate to Run 24/7 Long-Haul Autonomous Freight Operations - PR Newswire

Dublin, Sept. 30, 2022 (GLOBE NEWSWIRE) -- The "Robotic Vision Market by Type (2D Vision Systems, 3D Vision Systems), Component (Cameras, Lighting, Optics, Processors & Controllers, Frame Grabbers, Deep Learning Software), Deployment (Robotic Guidance Systems, Robotic Cells) (2022-2027)" report has been added to ResearchAndMarkets.com's offering.

The robotic vision market size is expected to grow from USD 2.4 billion in 2022 to USD 3.8 billion by 2027; it is expected to grow at a CAGR of 9.6% from 2022 to 2027.

3D vision systems are expected to grow at a higher rate from 2022 to 2027

A 3D vision system is highly repeatable and can avoid errors arising from deviations in object location, orientation, and presentation to the vision camera. They have the capability of picking parts that have variable surface conditions, such as bin picking, object tracking, and product profiling, particularly in automotive and pharmaceutical industries where the vision systems can generate 3D image data. They are ideal for less organized applications that involve a random presentation of parts as they excel at handling the intricacies of 3D workpieces. Thus, the market for 3D vision systems is projected to grow at a higher CAGR compared to the market for 2D vision systems from 2022 to 2027.

Hardware segment to hold the largest share in 2021

Cameras are the principal component of vision systems. Smart camera-based vision systems are gaining traction over PC-based systems due to easy configuration, validation, and maintenance. In the near future, robotic vision is expected to have a higher installation of 3D vision systems requiring smart camera installation, owing to the automation in industries. Hence, the market for cameras is expected to register the highest CAGR of 10.3% during the forecast period.

Robotic cells to be the fastest-growing segment during the forecast period

The robotic cells are utilized rapidly for complex tasks, such as quality tracking, uniform dispersion of ingredients, consistency of color, and the presence of safety rings. Robotic cells as compared to robotic guidance systems provide better efficiency and accuracy when integrated in vision cameras. Thus, the robotic cells are estimated to grow at the highest CAGR than the robotic guidance systems during the forecast period.Material handling segment to hold largest share in 2021

The material handling segment dominates the market in 2021 and is expected to continue its domination during the forecast period. Material handling using robotic vision can significantly reduce the human labor involved with handling applications. Besides, the use of robotic vision in material handling reduces labor costs, increases uptime for the production processes, and provides a safer environment for humans. All these factors are responsible for the adoption of the material handling application in various industries.Food & beverage industry to hold largest growth rate during forecast period

The food & beverage industry is expected to hold the largest market size during the forecast period. The rising utilization of robotic vision systems in packaging and palletizing in food manufacturing plants is responsible for the growth of the market. On the other hand, the consumption of packaged foods is increased rapidly, and food safety and standard protocols are being adopted globally by the food giants due to which vision systems are projected to be installed largely in food production plants during the forecast period.Europe is expected to capture the second-largest market size during forecast period

The European region is expected to hold the second-largest share of the robotic vision market during the forecast period. Industrial growth has been observed in the various countries of Eastern Europe, leading to increased penetration of vision systems in manufacturing. In Europe, vision systems are relevant not only for large enterprises but also for smaller enterprises. Germany remains the largest market in Europe for vision systems. Government initiatives, such as Industry 4.0 and the penetration of IoT and AI are expected to boost vision software development in the coming years.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights4.1 Attractive Growth Opportunities for Robotic Vision Market4.2 Robotic Vision Market, by Type4.3 Robotic Vision Market, by Component4.4 Robotic Vision Market, by Deployment4.5 Robotic Vision Market, by Application4.6 Robotic Vision Market, by Industry4.7 Robotic Vision Market, by Region

5 Market Overview5.1 Introduction5.2 Market Dynamics5.2.1 Drivers5.2.1.1 Growth in Need for Quality Inspection with Automated Robotic Vision5.2.1.2 High Adoption of 3D Vision Systems in Industrial Robotics5.2.1.3 Demand for Safety as Well as Quality Products in Industrial Sector5.2.1.4 Increase in Use of Smart Cameras in Robotic Vision5.2.2 Restraints5.2.2.1 High Initial Cost of Installation5.2.2.2 Varying Industrial and End-User Applications5.2.2.3 Limited Awareness of Robotic Vision Systems5.2.3 Opportunities5.2.3.1 Government Initiatives Boosting Industrial Automation5.2.3.2 Ai and Deep Learning Driving Advancement of Robotic Vision5.2.3.3 Increasing Customization of Robotic Vision Systems5.2.4 Challenges5.2.4.1 Difficulties in Manufacturing of Overall Robotic Vision Systems5.2.4.2 Programming of Complex Inspection Tasks5.3 Value Chain Analysis5.4 Ecosystem5.5 Pricing Analysis5.5.1 Average Selling Prices of Key Players, by Components5.6 Trends/Disruptions Impacting Customer's Business5.7 Technology Analysis5.8 Porter's Five Force Analysis5.9 Key Stakeholders & Buying Criteria5.9.1 Key Stakeholders in Buying Process5.9.2 Buying Criteria5.10 Case Study Analysis5.10.1 Kine Robotics Oy Utilizes Machine Vision Systems for Locating Bags on Conveyor Belt5.10.2 Varta Consumer Batteries GmbH & Co. KGaA Uses Cognex Visionpro 3D to Ensure Production Speed and Product Quality5.10.3 Byd Uses Cameras of Cognex Corporation for Its Production Line5.10.4 Timex Uses Keyence's Instant Dimension Measurement Series to Simplify Inspection5.10.5 Kawasaki Robotics Uses Cognex Camera for Welding Pipes5.11 Trade Analysis5.12 Patent Analysis5.13 Key Conferences & Events in 2022-20235.14 Regulations and Standards5.15 Tariffs and Regulatory Landscape

6 Robotic Vision Market, by Type6.1 Introduction6.2 2D Vision Systems6.2.1 2D Vision Systems to Increase Productivity in Conventional Applications6.3 3D Vision Systems6.3.1 Growing Adoption of Faster and More Precise Inspections in Industries to Boost Growth of 3D Vision Systems6.3.2 Single- and Multi-Camera Triangulation6.3.2.1 Single Cameras are Mounted on Robotic Arm6.3.3 Structured Light6.3.3.1 Structured-Light Solutions Use Triangulation and Can Provide Additional Accuracy6.3.4 Time-Of-Flight (Tof)6.3.4.1 Time-Of-Flight (Tof) Cameras Use Variety of Optical, Non-Contact Methods to Measure Time6.3.5 Stereo Vision6.3.5.1 Stereo Vision Provides Full Field of View for 3D Measurement6.3.6 Laser-Based6.3.6.1 Laser-Based Vision Systems Produce Series of 3D Images

7 Robotic Vision Market, by Component7.1 Introduction7.2 Hardware7.3 Software

8 Robotic Vision Market, by Deployment8.1 Introduction8.1.1 Robotic Guidance Systems8.1.1.1 Industrial Robots Can Manipulate and Assemble Objects of Virtually Any Size and Shape with this System8.1.2 Robotic Cells8.1.2.1 Robotic Cells to Hold Largest CAGR During Forecast Period

9 Robotic Vision Market, by Application9.1 Introduction9.2 Welding and Soldering9.2.1 Robotic Vision Assisted Welding Ensures Consistency of Welding Tasks9.3 Material Handling9.3.1 Robotic Vision Systems Help Reduce Human Fatigue in Material Handling Processes9.4 Packaging and Palletizing9.4.1 Food & Beverages Industry to Drive Growth of Packaging Applications in Vision Robotics9.5 Painting9.5.1 Robotic Vision Systems in Painting and Coating Applications Prove to be Cost-Effective9.6 Assembling and Disassembling9.6.1 Vision Guided Robots Enhance Productivity and Increase Uptime of Assembling Processes9.7 Cutting, Pressing, Grinding, and Deburring9.7.1 Robotic Vision Systems Eliminate Risks in Cutting, Pressing, Grinding, and Deburring Processes9.8 Measurement, Inspection, and Testing9.8.1 Robotics Vision Streamlines Processes in Industries with Precise Measurement, Inspection, and Testing

10 Robotic Vision Market, by Industry10.1 Introduction10.2 Automotive10.2.1 Automated Manufacturing Processes in Automotive Industry to Drive Growth of Robotic Vision Market10.3 Electrical & Electronics10.3.1 Robotic Vision Systems Facilitate Micro-Level Inspection at High Speed with Precision and Accuracy10.4 Chemicals, Rubber, & Plastics10.4.1 Utilization of Vision Systems for High Accuracy Inspection and Material Handling10.5 Metals & Machinery10.5.1 Robotic Vision Systems Ensure Safety in Metal Processing Industry10.6 Food & Beverages10.6.1 Increasing Food Standards to Propel Growth of Robotics Vision10.7 Precision Engineering & Optics10.7.1 Growing Requirement for Supply of Precision Engineered Components to Major Industries10.8 Pharmaceuticals & Cosmetics10.8.1 Crucial Inspection Tasks in Pharmaceutical Plants to Boost Demand for Robotics Vision10.9 Others

11 Robotic Vision Market, by Detection Algorithm11.1 Introduction11.2 Contour-Based11.3 Correlation-Based11.4 Feature Extraction11.5 Cloud of Points

12 Geographic Analysis

13 Competitive Landscape13.1 Introduction13.2 Revenue Analysis of Top Five Companies13.3 Market Share Analysis of Top 5 Players, 202113.4 Company Evaluation Quadrant, 202113.4.1 Star13.4.2 Emerging Leader13.4.3 Pervasive13.4.4 Participant13.5 Small and Medium-Sized Enterprises (SME) Evaluation Quadrant, 202113.5.1 Progressive Company13.5.2 Responsive Company13.5.3 Dynamic Company13.5.4 Starting Block13.6 Robotic Vision Market: Competitive Benchmarking13.6.1 Robotic Vision Market: Company Footprint13.7 Competitive Scenario and Trends13.7.1 Product Launches13.7.2 Deals13.7.3 Others

14 Company Profiles14.1 Key Players14.1.1 Cognex Corporation14.1.2 Basler Ag14.1.3 Omron Corporation14.1.4 National Instruments Corporation14.1.5 Keyence Corporation14.1.6 Teledyne Dalsa14.1.7 Sick Ag14.1.8 Tordivel As14.1.9 Hexagon Ab14.1.10 Advantech14.1.11 Yaskawa America, Inc.14.1.12 Isra Vision14.1.13 Fanuc Corporation14.1.14 Abb14.1.15 Qualcomm Incorporated14.2 Other Players14.2.1 Lmi Technologies Inc.14.2.2 Industrial Vision Systems14.2.3 Vitronic14.2.4 Matrox Electronic Systems Ltd.14.2.5 Adlink Technology Inc.14.2.6 Zivid14.2.7 Stemmer Imaging Ltd.14.2.8 Mvtec Software GmbH14.2.9 Wenglor Sensoric GmbH14.2.10 Aquifi14.2.11 Ids Imaging Development Systems GmbH

15 Adjacent & Related Markets

16 Appendix

For more information about this report visit https://www.researchandmarkets.com/r/xpr5b1

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The Worldwide Robotic Vision Industry is Expected to Reach $3.8 Billion by 2027 - GlobeNewswire

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Business Wire India

Acceleration Robotics a robotics semiconductor startup based in the Basque Country, Spain has announced ROBOTCORE,a robot-specific processing unit for the robotics architect. This Robotic Processing Unit is specialized in accelerating the Robot Operating System (ROS) computations and features 16xCPUs, a GPU and an FPGA to empower robots with the ability to react faster, consume less energy, and deliver additional real-time capabilities. The design files of ROBOTCORE have been disclosed and open sourced at the ROS 2 Hardware Acceleration Working Group.

Robotic Processing Unit (RPUs) are robot brains, processing units for robots that map efficiently robot behaviors (programmed as ROS computational graphs) to underlying compute resources. ROBOTCORE features multiple CPUs, a GPU and an FPGA interconnected in a common Ethernet databus which allows combining the traditional control-driven approach used in robotics with a data-driven one. When architected appropriately, through acceleration kernels (or robot cores), ROBOTCORE provides robotics architects with ROS 2 accelerated libraries that deliver faster computations (getting tasks done quickly once started), additional determinism (task happens in exactly the same timeframe, each time) and real time (meeting the time deadlines set for each task).

ROBOTCORE focuses on accelerating the ROS 2 robotics framework, a set of software libraries and tools that help build robot applications. ROS 2 is widely used in robotics and with hundreds of companies using it everyday for commercial applications, its increasingly becoming the common language in robotics1. Acceleration Robotics will disclose ROBOTCORE at the ROS 2 Hardware Acceleration Working Group. The company has open sourced and contributed ROBOTCOREs design files to the Robotic Processing Unit (RPU)subproject, so that other robotic architects can use it as a common hardware blueprint for their robotic brains Vctor Mayoral-Vilches, founder of Acceleration Robotics.

ROBOTCORE will be showcased in Japan at ROSCon and IROS 2022 conferences and is custom designed to accelerate three robotic scenarios: autonomous mobility, industrial manipulation and healthcare applications. The robotic processing unit is powered by the technologies of AMD and NVIDIA, packing best-of-class accelerators from top silicon vendors. Vctor Mayoral-Vilches who is also a former Systems Architect at Xilinx (now part of AMD) shares with excitement: This is a fantastic time in robotics and with the advent of ROS standardizing as the common robotics API, were starting to see a growing demand for hardware acceleration in ROS, which makes its computations faster and power-efficient. ROBOTCORE attempts to address this demand by facilitating an open blueprint for architects building robotic brains.

About Acceleration Robotics

Acceleration Robotics is a firm focused on designing customized brains for robots to hasten their response time. Founded by top robotic experts to deliver semiconductor building blocks for robots, the company leverages GPUs and FPGAs to create custom hardware that speeds up a robot's operation.

1About 55% of the total commercial robots to be shipped in 2024 will use ROS. The Rise of ROS: Nearly 55% of total commercial robots shipped in 2024 Will Have at Least One Robot Operating System package Installed

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Acceleration Robotics Announce and Open Sources ROBOTCORE, the First Robotic Processing Unit Specialized in ROS Computations - IndianWeb2.com

LONDON, Sept. 26, 2022 /PRNewswire/ -- Smith+Nephew (LSE:SN,NYSE:SNN), the global medical technology company, today announces the first cases for revision knee replacement utilizing its CORISurgical System. Dr. Thorsten Seyler of Duke University performed the first cases on August 17, 2022, combining Smith+Nephew's handheld robotics technology with its LEGIONRevision Knee System. Smith+Nephew is the first orthopaedics company to receive FDA 510(k) clearance for a revision indication using a robotics-assisted platform.

RI.KNEE ROBOTICS utilizes image-free smart mapping, eliminating the need for pre-operative CT/MRI scans and the potential for image distortion due to in situ components from the primary procedure. Instead, surgeons are able to build patient-specific 3D models of the joint, register anatomy and bony defects after implant extraction, intra-operatively gap balance in real-time, and accurately precision mill for final placement of components.1-4

"The ability to visualize and create symmetric and balanced flexion and extension gaps with the CORI handheld robotic system has made one of the most challenging tasks in revision TKA an easier undertaking. I have never used more posterior stabilized over constrained bearings in a revision scenario. Additionally, the image-free system also allows for accurate mapping of bone defects after implant removal and enables surgeons to use a bone preserving approach to revision TKA," said Dr. Seyler.

Revision knee surgery using robotics expands opportunity for health care professionals

Surgeons can now experience the power and versatility of one robotics platform when using the CORI Surgical System. With broader capabilities and expanded indications, it can address robotic-assisted total, partial, and now revision knee arthroplasty, along with computer-guided total hip arthroplasty. By coupling robotics with Smith+Nephew's clinically-proven LEGION RK System with OXINIUMTechnology5*, surgeons can experience a truly comprehensive implant and technology portfolio.

"Beingfirst to market with a revision indicationfor robotic-assisted knee replacement surgeryis a significant milestone in orthopaedics," said Randy Kilburn,Executive Vice President & General Manager, Orthopaedic Reconstruction, Robotics and Digital for Smith+Nephew."Our ability to offer a robotic-assisted solution for partial, total, and now revision knee arthroplasty using a single platform is a true differentiator, especially when it potentially simplifies a complex procedure and maximizes the system's capabilities for surgeons to restore patientlives and live Life Unlimited."

Over the last six months, Smith+Nephew has launched RI.HIP NAVIGATION, RI.HIP MODELER, "Cementless" CONCELOC Advanced Porous Titanium 3D printing technology with LEGION CONCELOC Cementless Total Knee System, and now a revision knee indication. All are supported by the CORISurgical System.

To learn more about the latest advancements in orthopaedic reconstruction and robotics, please click here.

References

* We thank the patients and staff of all the hospitals in England, Wales and Northern Ireland who have contributed data to the National Joint Registry. We are grateful to the Healthcare Quality Improvement Partnership (HQIP), the NJR Steering Committee and staff at the NJR Centre for facilitating this work. {Additional Contributors to be added where necessary}. The views expressed represent those of Smith+Nephew and do not necessarily reflect those of the National Joint Registry Steering Committee or the Health Quality Improvement Partnership (HQIP) who do not vouch for how the information is presented.

The data used for this analysis was obtained from the National Joint Registry ("NJR"), part of the Healthcare Quality Improvement Partnership ("HQIP"). HQIP, the NJR and/or its contractor, Northgate Public Services (UK) Limited ("NPS") take no responsibility (except as prohibited by law) for the accuracy, currency, reliability and correctness of any data used or referred to in this report, nor for the accuracy, currency, reliability and correctness of links or references to other information sources and disclaims all warranties in relation to such data, links and references to the maximum extent permitted by legislation including any duty of care to third party readers of the data analysis.

About Smith+Nephew

Smith+Nephew is a portfolio medical technology business focused on the repair, regeneration and replacement of soft and hard tissue. We exist to restore people's bodies and their self-belief by using technology to take the limits off living. We call this purpose 'Life Unlimited'. Our 18,000 employees deliver this mission every day, making a difference to patients'lives through the excellence of our product portfolio, and the invention and application of new technologies acrossour three global franchises of Orthopaedics, Sports Medicine & ENT and Advanced Wound Management.

Founded in Hull, UK, in 1856, we now operate in more than 100 countries, and generated annual sales of $5.2 billion in 2021. Smith+Nephew is a constituent of the FTSE100 (LSE:SN,NYSE:SNN). The terms 'Group' and 'Smith+Nephew' are used to refer to Smith & Nephew plcand its consolidated subsidiaries, unless the context requires otherwise.

For more information about Smith+Nephew, please visitwww.smith-nephew.comand follow us onTwitter,LinkedIn,InstagramorFacebook.

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Original post:

Smith+Nephew first to market with revision knee indication on robotics platform - PR Newswire

By oht_editor | on September 28, 2022

LAPEER The 2023 FIRST Robotics season is right around the corner, and Lapeers Chimeras are looking to add a few members.

One way to attract members is with flying produce at least, thats the idea behind last Saturdays second annual Pumpkin Chunkin Workshop. The teams Open House doubled as a hands-on catapult construction event for visitors, and attendees were tasked with developing a launching device, determining angles and materials and selecting the perfect produce projectile.

The roughly 30 attendees were divided into two age groups, the Eagle Division of ages 8-12, and the Panther Division of ages 13-andup.

Earning the coveted Pumpkin Chunkin Champ trophies were Team Flying Potatoes of the Eagle Division and Team Team of the Panther Division.

Produce was set aside for launch and donated by the Reger/Laidler Farm.

For those unable to attend the event but are still interested in joining the team for its upcoming competition season, theres still time, said lead mentor Bernadette Storts. The Chimeras team orientation meeting is Monday, Oct. 10 at 6:30 p.m., held at the Center for Innovation, and team organizers said all are welcome to attend. Visitors will have the chance to meet the team and learn about FIRST Robotics as well as sign up to become a member.

For more information, email chimerasfrc1684@gmil.com.

Read the original post:

Chimeras robotics team holds pumpkin launch event - The County Press - Thecountypress

Most of us can tell the difference between a belly-busting laugh in reaction to a cat video and a weak chuckle following a coworkers corny joke. But can robots?

In a recent study published in the journal Frontiers in Robotics and AI, researchers designed a new AI system to detect peoples laughs, decide whether to giggle in response, and choose the type of laugh thats appropriate for the context.

This new design might help liven up chats between people and robots in an increasingly digital world.

I hope we can foster the idea that laughter should be a fundamental part of any conversational robot, says study author Divesh Lala, a researcher who studies conversational robots at Kyoto University in Japan. We have proposed the idea of shared laughter as one way to attack this issue.

Heres the background The past decade has brought freaky, ultra-realistic AI-powered robots that can gab relatively easily with people. And it seems like each new gadget dives even deeper into the uncanny valley.

Take, for example, Sophia: the humanoid device was created by Hong Kong-based Hanson Robotics in 2016. She has since served as an ambassador for the United Nations and spoken at conferences around the world (including an infamous appearance at SXSW in which she claimed she will destroy humans).

Theres also the upcoming Tesla Optimus that the company will preview on September 30. Musk thinks robots will eventually mow lawns, care for the elderly, and serve as friends as well as sex partners.

The humanoid robot Sophia has captivated (and creeped out) audiences worldwide.DIBYANGSHU SARKAR/AFP/Getty Images

Nowadays, these conversational agents and interactive avatars and so on are becoming more than just mere tools its becoming much more than what we used to have when interacting with computers, says zge Nilay Yaln, a cognitive scientist at Simon Fraser University in Canada.

Despite recent breakthroughs, scientists have struggled to make robots laugh a crucial step that some experts feel could foster a genuine, empathetic relationship between humans and humanoids.

Previous work has mostly aimed to design robots that can detect peoples laughter, Lala says. But he and his team wanted to take things a step further. If you can do this, then you can simply make a shared laughter system which just laughs when a person does, he says.

Whats new The Kyoto University scientists have created what they call a shared-laughter system that they hope to eventually program into talking robots.

Heres how it works: When a person laughs, neural networks pick up on the sound. Then, a series of models that classify data decide whether to chuckle in response, and if so choose the type of laugh that's appropriate to reply with.

More specifically, the system can pick between a social or mirthful laugh, categories based on previous studies that have classified our chuckles.

Social laughs which most people are unfortunately all too familiar with fill silence rather than expressing genuine delight, while we use the mirthful variety in response to something genuinely funny (like a good DALL-E Mini meme).

Why it matters This recent work is just the latest attempt to make robots appear more empathetic and help them form meaningful relationships with humans. After all, talking robots could one day care for our aging relatives and follow us around our homes, along with other particularly intimate applications.

Some experts claim that computers can only offer superficial empathy, and that its a doomed mission from the start. Now machines are not content to show us they are smart; they pretend to care about our love lives and our children, wrote Sherry Turkle, a sociologist and psychologist at the Massachusetts Institute of Technology, in her 2021 memoir The Empathy Diaries.

Researchers have debated whether truly empathetic robots are possible, or should even be attempted in the first place.Daryl Solomon/Photodisc/Getty Images

But according to Lala, the AI laughter system isnt intended to replicate the real thing. We do not claim that our robot can show true empathy, since this requires them to understand human nature as such, he says. During an interaction, the robot is merely trying to simulate what an empathetic human would do.

In fact, Lala cautions that the AI system doesnt necessarily detect humor. It might do this inadvertently but it cannot know if what you are saying is funny, especially if you don't laugh yourself, he explains. Although this would be great if it can be accomplished, we do not want to oversell what we are doing.

He still thinks the simulation could help robots better benefit humans, especially those experiencing social isolation, such as senior home residents. Even if a humanoid truly doesnt understand its human companion, he says, it helps to have someone (or, rather, something) there to listen.

One ethical issue is whether or not we want robots to lie and explicitly say things like I understand what you're going through, and this is something we should consider, he says.

What they did The researchers trained the AI system with data gathered from a speed-dating experiment conducted between Kyoto University students and ERICA, a person-like android that was designed by the lab to study human-robot interaction. In this scenario, ERICA was voiced by amateur actresses sitting in another room.

They examined the audio from these sessions and identified over 3,000 individual laughs, which they sorted into the social and mirthful categories. The team also noted when the actress-operated ERICA copied the human chortles.

To test the finished product, the team crowdsourced over 30 people to listen to an audio recording of the AI system chatting with human subjects, including study author Koji Inoue.

They ran three different conditions: the main shared laughter system, one with no laughter at all, and a less nuanced one that always responds to human laughs solely with a social laugh. After listening, the crowdsourced subjects rated the shared laughter system the highest of all in terms of empathy, naturalness, human-likeness, and understanding, according to the study.

Whats next Now, Lala and his colleagues are currently working on incorporating the AI system into the ERICA android, along with other conversational robots theyre tinkering with in their lab.

These future studies will be important to prove whether this system actually works, says Khiet P. Truong, a computational linguist at the University of Twente in the Netherlands who studies laughter. After all, she points out, the concept could go south pretty quickly.

If [the robot is] laughing at the wrong moment, thats going to crush your relationship with the agent, she says. Its so difficult to create a laughing agent because the cost for error is very high.

Looking into the future, the researchers think the robots could theoretically laugh on their own not just when prompted by people. But that would require AI to actually pick up on humor. Researchers working in natural language processing, a field of AI that focuses on understanding how people write and speak, are now attempting to do that.

Shared laughter could help us see robots in a completely different light, but its a high-risk endeavor.Hector Roqueta Rivero/Moment/Getty Images

Yaln wonders how we could ever explain, say, absurdist humor like the kind found in Monty Python to a computer.

It is not very straightforward. It requires you to create a dataset that has all the cultural and social and personal interactions and all the complexity of the world, she says. But I would say that as a first step, this is a good study.

Until we reach that point (if we ever do), the new AI system may prove to be highly beneficial as is.

Based on current technological progress, though, Lala says it could take up to two decades for humans to enjoy a bona fide conversation with robots. Besides the laughter component, machines also need to improve on skills like eye contact, taking turns talking, and showing interest in the other speaker.

I think progress is incremental, but we still have a bit to do before we can all human-robot conversation a solved problem, he says.

LEARN SOMETHING NEW EVERY DAY.

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Horrifying: Robots may have just gained a creepy new skill - Inverse