Category Archives: Robotics

HAI ROBOTICS, a global provider of an autonomous case-handling robotic (ACR) system for warehouse logistics, and Anta, a leading global sportswear brand, will soon launch in south China a new warehouse automation project using HAI ROBOTICS totes-to-person solution to help Anta accommodate surging orders.

The new project, to be launched in April in Antas brand-new warehouse in Foshan, Guangdong Province, will be the third joint-project between the two companies, HAI ROBOTICS said. Using HAI ROBOTICS ACR system, the 9-meter-high warehouse will offer up to 30,240 locations, with daily throughput expected to reach 128,000 units.

As an official sponsor of the Beijing Winter Olympics and Paralympics, Anta has seen surging deals, putting warehouse logistics under mounting pressure, the announcement added.

Anta sees HAI ROBOTICS as an important long-term partner, as we have shared ambition in smart warehousing, Chen Jiancong, General Manager of logistics of Anta Group, said at the groups logistics partnership conference, held in its headquarters in Jinjiang, southeast Chinas Fujian Province, on Tuesday.

Richie Chen, founder and CEO of HAI ROBOTICS, said his company names Anta as one of the top-10 most important global clients, who are entitled to more tailored service. Together we will keep innovating to address more challenging scenarios for the footwear and apparel warehousing sector and bring more added value to our customers, Chen said.

HAI ROBOTICS added that it has dozens of ongoing projects for top footwear and apparel brands. The company was awarded the best strategic supplier by Anta, at Tuesdays conference, to recognize the efficiency the ACR system has helped to achieve in the supply chain.

HAI ROBOTICS ACR system was first deployed in Antas warehouse in southwestern Chinas Chengdu, Sichuan Province, in April 2021. With 25 customized HAIPICK robots doing case picking and retrieving from shelves to continuously feed goods-to-person picking stations, storage density of the 5.7-meter-high warehouse increased significantly to offer up to 27,600 locations. It can handle up to 80,000 units in outbound orders per day. The warehouse, which was previously stretched tight to handle its tens of thousands of SKUs at low picking accuracy, is now feeding the needs of 1,200 brick-and-mortal stores with a weekly outbound volume of 60,000 pieces, the robotics vendor explained.

The efficiency improvement prompted Anta into a second warehouse automation project with HAI ROBOTICS only three months later, the vendor added. A larger robot fleet was stationed in its 3,500-square-meter warehouse in Jinjiang. With the redesign of 11-layer shelves inside the 5.7-meter-high warehouse, the project provides around 20,000 storage locations. The warehouse reached a daily outbound capacity of 200,000 pieces with the use of HAIPORT-powered Workstation, an automatic loading and unloading machine.

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HAI ROBOTICS and sports apparel company Anta to launch third warehouse automation project - Modern Materials Handling

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Between the Perseverance Rovers one year anniversary on Mars, new services launching and exciting stories about robots in the field, there was no shortage of things to cover in February.

Here are the Top 10 most popular robotics stories on The Robot Report in February 2022. Subscribe to The Robot Report Newsletter to stay updated on the robotics stories you need to know about.

When Abundant Robotics, an agricultural robotics company,shut down in mid-2021, it cited a lack of funding and market traction as the two primary challenges. But that didnt scare away product development incubator Wavemaker Labs,which in October 2021 acquired the intellectual property (IP) of Abundant Robotics for an undisclosed amount. Wavemaker Labs has now relaunched the company as Abundant Robots. Read Story

Ed Mullen, VP of sales for the Americas atMobile Industrial Robots (MiR), resigned. Mullen is now senior director of partnerships atDexterity, a Calif.-based startup that emerged from stealth in 2020 and recently raised $140 million in Series B funding. Read Story

2021 set a new record for number of robots sold in North America with 39,708 units, according the Association for Advancing Automation (A3). Those sales were valued at $2 billion. Robot sales rose 28% from 2020 to 2021, jumping from 31,044 units in 2020. Read Story

Open Roboticsis working withBlue Origin, the sub-orbital spaceflight company founded by Jeff Bezos, and NASA on Space ROS. Space ROS is a version of ROS 2 meant to meet verification and validation requirements aerospace software must meet before being used in a mission. Read Story

When we think about robotics development, we often imagine a logical and codified process. While we dont assume it to be easy or straightforward, we do assume it to be relatively objective the end goal is obvious, the milestones to reach it measurable. But we forget that when developing new technologies, we need equally novel ways to test and troubleshoot these technologies. Read Story

White Castle is installingMiso Robotics Flippy 2 frying robot at an 100 fast food locations. Rollouts of Flippy 2 are being phased by region and will be planned out and scheduled in the months and years ahead. Read Story

Early in the morning on August 13, 2021, Justin Disney, the mine supervisor at the Lhoist North American limestone mine near Crab Orchard Tennessee, heard a sound he had never heard in his 16 years working in a mine. Read Story

The robotics industry started off the year with acquisitions, 2022 predictions and product announcements. Our editorial team had no problem staying busy while keeping up with all of the news. Read Story

Over the past several weeks, autonomous driving companyCruise has shared videos of its employees taking rides in driverless robotaxis around San Francisco. Even Mary Barra, CEO and chair of GM, which owns Cruise, took a ride. Now that service appears to be opening to the public. Read Story

This month marked the one-year anniversary of the Perseverance rover landing on Mars. It touched down on Jezero Crater on Feb. 18, 2021 and is searching for signs of past life on Mars. During its journey, Perseverance is also taking some incredible images of Mars. These are some of the more memorable photos taken by Perseverance over the past year. Read Story

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Top 10 robotic stories of February 2022 - Robot Report

Editors note: This is part of a series of Teacher Spotlight articles about educators nominated by principals and assistant principals in and around Kingsport.

KINGSPORT A local STEM (science, technology, engineering and math) and chemistry teacher is the latest educator to be the focus of the Kingsport Times News Teacher Spotlight.

D-B EXCEL Principal Shanna Hensley nominated Antonia Adinolfi, who graduated from East Tennessee State University. She joined the DBE faculty in January 2016, the Spring semester, and two years later started the first underwater robotics team in the Volunteer State.

"She enjoys anything related to math, science, health or medicine," Hensley said, quoting from the DBE website section on Adinolfi. " The thing Ms. A enjoys most about DBE is her "kids" a.k.a. her students."

Hensley said Adinolfi "helped DBE develop into the school it is today, including receiving the STEM Designation from TSIN (Tennessee STEM Innovation Network) and the Tennessee Department of Education in 2019-2019."

In 2018, Adinolif started the first underwater robotics team in the state, the R'Matey's.

"That year they won the regional competition along with receiving the Engineering Award and Mission Award. The R'Matey's ended up making it to the international competition where they won the Sharkpedo Award, an award for innovation," Hensley said. "Only 11 teams received an award at the International competition."

In addition, Adinolif she also has helped develop the STEM Career and Technical Pathway, which received an Advanced score from the state Department of Education in 2019.

For the past two years, TSIN and the state Department of Education have held a statewide design challenge for all students. "Both years, Ms. Adinolfi's students have won 1st place," Hensley said.

Adinolfi also is the Lead Mentor teacher at DBE and assists in running the school's social media accounts.

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Founder of first underwater robotics team in Tenn. gets Teacher Spotlight - Johnson City Press (subscription)

The creative pace of solution seekers always seems to move faster than regulations and controls. In some ways that can be good, and in some ways, it can create unforeseen hazards when those solutions, such as robotics and automation, are introduced into a workplace.

It is no secret that automation has moved forward and that the pace of that expansion has significantly outpaced enforceable safety regulations. The current guidelines on the OSHA website were written in 1987, and the previous technical chapter was written in the early 2000s. In September of 2021, OSHA issued a new technical manual chapter titled, Industrial Robot Systems and Industrial Robot System Safety.

While a technical manual is not a regulation, it is the material OSHA uses to educate their duty officers and the basis from which an OSHA duty officer might choose to enforce 1910.147 (the Control of Hazardous Energy), Subpart O (Machine Guarding), or even the general duty clause to cite an employer.

It is important to make mention of the fact that 1910.147 and Subpart O are consistently in the top 10 most cited standards year after year, and in some industries, they frequent the top two or three. More importantly, the chapter helps employers and safety professionals develop systems to protect employees from a unique set of hazards. It breaks down some of the individual elements of moving a robotic system from manufacturing to actual integration, set up, and use in the workplace.

When moving to use of robotic automation, an essential consideration is how a robotic workstation can be integrated into the specific workplace and task it is meant for. Some companies choose to have a third party integrate and some may decide to use their own internal expertise.

Using a third party transfers some level of risk, providing the contract is written correctly with favorable insurance language. It is also possible for the employer to require the third party to conduct job hazard analysis outlines associated with the different jobs that will be performed in that specific workplace, with or around the robotic system. This may include operators, programmers (teachers), maintenance, cleaning, or others.

Each job task may require a different control mode, entail different hazards, and have different protections and sensors dedicated to the mode the robot must be in during specific tasks. They may also have different rules and requirements which apply to each specific task. The complicated nature of integration makes planning and careful detailed work specific to each job and task essential whether planning is conducted in house or with the assistance of a third party.

Part of the work and planning done during integration may also include choosing and installing barrier guards, interlocks, light curtains, or other sensors that do not always come with the robot but which must be integrated into the control system, and which are unique to that specific application and set up. Integration is made even more important by the fact that the safety device and control scheme decided on during integration is what the employer will rely on to protect their employees over time.

Whether collaborative (direct interaction with humans) or non-collaborative (no direct interaction with humans) robots are utilized determines what type of sensors, guarding, and programming will be combined to protect employees. Collaborative robot set ups will rely more on proximity sensors, speed controls, and programming to ensure employee safety. This does add to the complexity of the integration and programming and may increase the incentive to utilize a third party with extensive experience integrating collaborative robots and to seek favorable insurance terms whilst securing their services.

The differences in these two types of robots have resulted in two different ANSI standards being written. ANSI/RIA R15.06-2012 applies to non-collaborative robots and safety measures while RIA TR R15.606-2016 applies to collaborative robots.

Over time, guarding schemes, control systems, sensor type and position, end effectors (the robots implement for touching and working on the product) or other installer or manufacturer determined elements may need to change. As you consider whether to perform these changes on your own or tap the manufacturer and or installer to make those changes, it may help to consider some of the topics outlined in our previous blog on guarding and liability. An employer could take on manufacturer liability or nullify contractual protections if changes are made to the original manufacturer, or installer design, or set up.

For some functions and entry into the protected zone, hazardous energy controls (LOTO) must be utilized. In some cases, you can rely on equivalent protections, depending on several different factors including whether the entry meets all exceptions from 1910.147. Keeping in mind that the proper mode must be selected on the control panel for different protective mechanisms to function, you can see how it would be easy for an employee to enter a protected zone in the wrong mode and become injured. You must identify and control all these types of potential system hazards during implementation.

One scenario that might help explain why such careful planning is warranted is the following. Operators are not normally also programmers and so should not use teach pendants and teach modes. Teach mode selector knobs or controls are not locked out on most control panels that operators have access to.

If an operator is utilizing a non-collaborative robotic arm in the automatic mode and proper interlocked barrier guards are in place, then when the outside gate is opened the arm should stop immediately or come to a stop in just a few seconds. If the mode is changed to teach mode and the operator accesses the same restricted zone, it is possible for the robot to move and pin them.

Potentially, the only difference would be the position of the mode selector knob or controls effectively bypassing several protective safety sensors.

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Automation, Safety, and Robotic Systems | Woodruff Sawyer - JDSupra - JD Supra

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ABB, Teradyne Inc., YASKAWA ELECTRIC CORPORATION., DENSO WAVE INCORPORATED., KUKA AG, FANUC America Corporation, Yamaha Motor Co., Ltd., Omron Corporation, Energid Technologies Corporation., Nachi Robotic Systems, Inc., Robotic Systems Integration, Inc., among other domestic and global players..

We can add or profile new company as per client need in the report. Final confirmation to be provided by research team depending upon the difficulty of survey

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Global Motion Control Software in Robotics Market Is Thriving With Rising Latest Trends By 2027 | ABB, Teradyne Inc., YASKAWA ELECTRIC CORPORATION.,...

educational-robotics-market

Glob Market Reports offers an overarching research and analysis-based study on, Global Educational Robotics Market Report, History and Forecast 2016-2028, Breakdown Data by Companies, Key Regions, Types and Application. This report offers an insightful take on the drivers and restraints present in the market. Educational Robotics data reports also provide a 5 year pre-historic and forecast for the sector and include data on socio-economic data of global. Key stakeholders can consider statistics, tables & figures mentioned in this report for strategic planning which lead to success of the organization. It sheds light on strategic production, revenue, and consumption trends for players to improve sales and growth in the global Educational Robotics Market.

Some of the key manufacturers operating in this market include: Fischertechnik, Lego, Modular Robotics, Robotis, Innovation First International, Pitsco, Parallax, Inc., Evollve and More

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Here, it focuses on the recent developments, sales, market value, production, gross margin, and other significant factors of the business of the major players operating in the global Educational Robotics Market. Players can use the accurate market facts and figures and statistical studies provided in the report to understand the current and future growth of the global Educational Robotics market.

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Educational Robotics market competitive landscape offers data information and details by companies. Its provides a complete analysis and precise statistics on revenue by the major players participants for the period 2022-2028. The report also illustrates minute details in the Educational Robotics market governing micro and macroeconomic factors that seem to have a dominant and long-term impact, directing the course of popular trends in the global Educational Robotics market.

Market split by Type, can be divided into:Wheeled RobotHumanoid RobotMarket split by Application, can be divided into:Primary SchoolSecondary School

Regions Covered in the Global Educational Robotics Market:1. South America Educational Robotics Market Covers Colombia, Brazil, and Argentina.2. North America Educational Robotics Market Covers Canada, United States, and Mexico.3. Europe Educational Robotics Market Covers UK, France, Italy, Germany, and Russia.4. The Middle East and Africa Educational Robotics Market Covers UAE, Saudi Arabia, Egypt, Nigeria, and South Africa.5. Asia Pacific Educational Robotics Market Covers Korea, Japan, China, Southeast Asia, and India.Years Considered to Estimate the Market Size:History Year: 2015-2022Base Year: 2022Estimated Year: 2022Forecast Year: 2022-2028

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Educational Robotics Market Will Reflect Significant Growth Prospects of US$ Mn during 2022-2028 with Major Key Player: Fischertechnik, Lego, Modular...

GlobalArtificial Intelligence and Robotics in Aerospace and Defense IndustryMarket Report is an objective and in-depth study of the current state aimed at the major drivers,Artificial Intelligence and Robotics in Aerospace and Defense Industrymarket strategies, andArtificial Intelligence and Robotics in Aerospace and Defense Industrykey players growth. TheArtificial Intelligence and Robotics in Aerospace and Defense Industrystudy also involves the important Achievements of theArtificial Intelligence and Robotics in Aerospace and Defense Industrymarket,Artificial Intelligence and Robotics in Aerospace and Defense IndustryResearch & Development,Artificial Intelligence and Robotics in Aerospace and Defense Industrynew product launch,Artificial Intelligence and Robotics in Aerospace and Defense Industryproduct responses andArtificial Intelligence and Robotics in Aerospace and Defense Industry indusryregional growth of the leading competitors operating in the market on a universal and local scale. The structured analysis contains graphical as well as a diagrammatic representation of worldwideArtificial Intelligence and Robotics in Aerospace and Defense IndustryMarket with its specific geographical regions.

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There are 15 Chapters to display theArtificial Intelligence and Robotics in Aerospace and Defense Industry.

Chapter 1, to describe Definition, Specifications and Classification ofArtificial Intelligence and Robotics in Aerospace and Defense Industry, Applications ofArtificial Intelligence and Robotics in Aerospace and Defense Industry, Market Segment by Regions;

Chapter 2, to analyze the Artificial Intelligence and Robotics in Aerospace and Defense Industry Manufacturing Cost Structure, Artificial Intelligence and Robotics in Aerospace and Defense Industry Raw Material and Suppliers, Artificial Intelligence and Robotics in Aerospace and Defense Industry Manufacturing Process, Artificial Intelligence and Robotics in Aerospace and Defense Industry Industry Chain Structure;

Chapter 3, to display the Technical Data and Manufacturing Plants Analysis ofArtificial Intelligence and Robotics in Aerospace and Defense Industry, Artificial Intelligence and Robotics in Aerospace and Defense Industry Capacity and Commercial Production Date, Artificial Intelligence and Robotics in Aerospace and Defense Industry Manufacturing Plants Distribution, Artificial Intelligence and Robotics in Aerospace and Defense Industry R&D Status and Technology Source, Artificial Intelligence and Robotics in Aerospace and Defense Industry Raw Materials Sources Analysis;

Chapter 4, to show the Overall Artificial Intelligence and Robotics in Aerospace and Defense Industry Market Analysis, Artificial Intelligence and Robotics in Aerospace and Defense Industry Capacity Analysis (Company Segment), Artificial Intelligence and Robotics in Aerospace and Defense Industry Sales Analysis (Company Segment), Artificial Intelligence and Robotics in Aerospace and Defense Industry Sales Price Analysis (Company Segment);

Chapter 5 and 6, to show the Artificial Intelligence and Robotics in Aerospace and Defense Industry Regional Market Analysis that includes North America, Europe, Asia-Pacific etc.,Artificial Intelligence and Robotics in Aerospace and Defense IndustrySegment Market Analysis by various segments;

Chapter 7 and 8, to analyze theArtificial Intelligence and Robotics in Aerospace and Defense IndustrySegment Market Analysis (by Application) Major Manufacturers Analysis ofArtificial Intelligence and Robotics in Aerospace and Defense Industry;

Chapter 9,Artificial Intelligence and Robotics in Aerospace and Defense IndustryMarket Trend Analysis, Regional Market Trend, Market Trend by Product Types , Market Trend by Applications;

Chapter 10, Artificial Intelligence and Robotics in Aerospace and Defense Industry Regional Marketing Type Analysis, Artificial Intelligence and Robotics in Aerospace and Defense Industry International Trade Type Analysis, Artificial Intelligence and Robotics in Aerospace and Defense Industry Supply Chain Analysis;

Chapter 11, to analyze the Consumers Analysis ofArtificial Intelligence and Robotics in Aerospace and Defense Industry;

Chapter 12, to describeArtificial Intelligence and Robotics in Aerospace and Defense IndustryResearch Findings and Conclusion, Appendix, methodology and data source;

Chapter 13, 14 and 15, to describeArtificial Intelligence and Robotics in Aerospace and Defense Industrysales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

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Artificial Intelligence and Robotics in Aerospace and Defense Industry Market to Witness Huge Growth by 2028 | General Electric, Airbus SE, Thales SA ...

Mollia Ltd. is a Hungarian technology startup developing adaptive and teachable software for the kinetic control of humanoid robots. The key novelty in their product is a linguistic style learning system that transcribes human movement in a uniform system of geometric building blocks. The company envisages that in the future, robots will be available for the average household. Still, while they wait for this to become a reality, they are developing a game in which regular people can teach robots various movements in the virtual space. If the game becomes successful, it will result in a broad set of motions that will eventually be transferable to actual robots for such applications as expeditions to Mars.

We talkedwith Mollia deputy CEODniel Vincz about the importance of robotics.

Although innovation is becoming increasingly valuable in any industry, digitalization, automation, robotics, and industry 4.0 solutions are not as prevalent among micro and small enterprises and are likelier to play an important role for medium and large enterprises. Do you agree with this statement?

My short answer is: yes. On the other hand, however, Mollia is not an industrial solution. Back in the seventies, people did not think that every household would have computers one day. Our team believes that humanoid robots will go through a similar path and will become common household items. Our goal is to develop adaptive and teachable software for the kinetic control of humanoid robots. The most important novelty in our technology is a linguistic style learning system that transcribes human movement in a uniform system of geometrical building blocks. This innovation enables us to improve robots general mobility. It also allows robots to learn new forms of movement and perform better in novel tasks. As a result, in the future, even regular people will be able to interact with robots and train them in different skills without any IT training.

You want to create a system in which robots can learn alongside humans, but at the same time, when a robot encounters a problem, it will be able to solve it within its area of competence. Is that correct?

Just think about it. Humans were able to rise above animals by becoming the sole bipedal mammal. It is a very complex task to walk on two legs. This directly correlates with how our brains evolved over several million years. It allowed us to use our brain capacity for other things such as communication. The link between communication and humans becoming bipedal is deeply ingrained in humanity. Billions of people on the planet walk on two legs, yet we do not use this ability, this common knowledge, to teach robots to do the same. Recognizing this was our starting point when we began developing our technology.

We are currently operating with 36 degrees of freedom, which refers to the number of ways the robot can move its parts. Users can equip robots with freely determined movements characteristics, which will be saved in the total range of the characters kinetic activity. This means the robots autonomous movement may be influenced externally, which results in a kind of true cooperation between man and machine. This is similar to how a horse and its rider communicate with each other. In their natural state, horses usually do not jump over 150cm hurdles, so a human must cooperate with the animal and try to get it to complete the task because the animal has a will of its own. The horse must be gently guided to do what the rider wants it to do. The horse and the rider must understand and be comfortable with each other in order to perform such a task. This is basically what we are doing as well: we are creating an external interface through which the human and the robot are able to cooperate. Currently, this interface consists of a mouse and keyboard as this can be found in almost every household. The long-term goal, however, is to have a device worn on the head that senses brainwaves and use it to teach movements to robots. I know this sounds very utopian, but I believe we will achieve this within the foreseeable future.

Why are we developing humanoid robots?

Mostly because this way, robots will be able to use the same tools as humans and vice versa. Furthermore, humans are likelier to positively relate to humanoid robots than robots with other forms, as this is the form we are most used to. Just think about the reactions people had to the Boston Dynamics videos, where the boxes were knocked out of the robots hands multiple times.

Where is the robot being developed?

Currently, development takes place in a Bullet Physics based virtual environment. This is a physical environment where we try to simulate the Earths gravity. This has both advantages and disadvantages. On one hand, we receive accurate feedback from everything and we know where the robot steps and the force with which it steps. On the other hand, we arent able to test its movement in the real world, like we would be able to with a physical robot. We are continuously working on developing the latter.

Babu is able to adapt to certain novel characteristics such as a new body type, but can also learn tasks on its own such as walking in heels. Furthermore, it is capable of handling objects with different weights in physical space. This high-level adaptive capacity is essential to enable it to interact with users. The goal for the robot is to be able to follow real-time kinetic instructions via input devices (mouse, keyboard, VR, movement tracking devices, etc.) while keeping key elements of its own movement that are necessary for maintaining balance. Humans and robots must be able to cooperate. This is training, which means the process is slow but will produce exciting results. Furthermore, we would like to be able to transfer knowledge from a robot that a user has finished teaching, to another robot, which will allow the new robot to learn new movements from a pre-existing level of knowledge, and thus improve even more.

As Ive mentioned before, the long-term goal is for the robot to reach households where it will be able to complete tasks that are appropriate for its set of movements. Robots trained in this waymay also perform activities that could be dangerous to humans, such as mining and deep-sea welding. Basically, you have to look at the whole thing from a positive perspective. Robots shouldnt be feared.

What are your short-term plans?

Before we are able to use our technology to control real physical robots, we need to create an extensive set of movements. In order to achieve this, we are developing a video game in which you can teach the robot various moves in a virtual world. This is very exciting because we are able to involve a multitude of people in robotics development, which has yet to be done. Just think about it: currently, robotics development is very resource intensive and mostly only scientists with PhDs can take part in it, whereas there are nearly eight billion people on the planet who have kinetic skills that can be used to teach robots. The best analogy is perhaps Wikipedia, which allows anyone to share his or her knowledge with others. In essence, we are trying to build the Wikipedia of robot movement.

If we get to the point of having a sufficient database of movement sets in virtual space, then we will be able to transfer these movements to physical robots, which will be able to implement more complex movements. Such a robot could be used, for instance, during an expedition to Mars, where the robot would be able to establish a camp before humans arrive.

What are your target markets?

We are open towards both Hungarian and foreign video game developers. We had meetings at the university where the developers of Angry Birds started, and based on their feedback, they see great potential in Babu. We are also in negotiations with a Slovak video game development company regarding the shared development of a video game. We believe that in the long term, anyone can become interested in using our product, but at the moment, we are primarily focusing on the North American market. One reason for this is our investor, Vespucci Partners, with whom we plan on reaching the Series A investment circle, which we would use to finance the next seven years. We are primarily negotiating with American companies regarding this, as the robotics industry is powered by the US and China anyway.

How well could a Hungarian startup compete in these two markets?

Its a little too early to come to conclusions, but we havent really seen any companies that deal with anything similar. It would be a potential opportunity for us to cooperate with Tesla. This August, Elon Musk showcased the Tesla Bot, otherwise known as Optimus, which is a general-use humanoid robot developed by Tesla, Inc. with an exceptional hardware solution for which we could provide the software. This summer, I received a scholarship to Draper Universitys five-week summer program in Silicon Valley. The programs founder is Tim Draper, an iconic figure in the Silicon Valley venture capital scene, so an introduction to Elon Musk is not such a farfetched idea.

Mollia Intro Video from Mollia on Vimeo.

How do you think robots will feature in the lives of average Hungarians and what role will they have in the future?

At the moment, robots arent that widespread in Hungarian households; however, in industrial settings, robotics solutions are quite common. To approach this subject from a more realistic perspective, we are also cooperating with the Antal Bejczy Center for Intelligent Robotics of buda University, where in addition to the latest trends, we pay close attention to what we could incorporate from the robots movements there. The goal of the center is to help the scientific and technological development of robotics primarily for service applications. It is an independent platform which widely leans on the most important partner institutes and companies in both Europe and North America. We believe that technology and thus robotics will become an important part of the average Hungarians life in the future.

What does Mollias vision of the future look like?

Our most ambitious plan is to implement our algorithms in the physical world to control real humanoid robots. One of the most important potential technological changes during the next decade could be robotics achievements transferring from the showroom to our homes, thus becoming a part of everyday life. We want Babu to become an important part of this process. We arent solely focused on robotics, however. We have several exciting ideas about how our team at Mollia could come up with something new in the area of NFTs, esports and even HealthTech.

I must mention here that we are constantly looking for new domestic talent in mathematics, software development, design, marketing, and robotics, so if you feel you are up for it, please do not hesitate to contact us!

Link:

'Humans and robots need to cooperate' - BBJ - Budapest Business Journal

During the COVID-19 pandemic, many of the challenges facing health workers have come to light. One of the strategies to overcome those challenges is the implementation of robots in healthcare facilities. Robots can help in handling tasks such as disinfection and sterilization, delivery of drugs, food, and waste, and others where human presence is not necessary.

Even though in the times of the pandemic healthcare workers are mostly focused on how to use robots to eliminate human contact there are ways robotics can be used for doctors and remote workers to feel more connected to their clients and co-workers by providing a virtual presence. Virtual assistance and telepresence robots have enabled interactions with patients in isolation wards.

All in all, healthcare robotics has many potentials and the future will show how we will use this technology to improve healthcare standards worldwide.

Disinfecting public places is a challenging problem in the post-pandemic world. A non-intrusive solution to this challenge has been the use of UV-C light. But UV light can adversely affect the human skin. The question has been how to best use UV light and protect human health.

AMRs mounted with UV-C lamps can independently traverse a designated area. Mobile apps create maps with waypoints for robots to traverse. The robots then follow the waypoints as they disinfect the area. The robots also navigate to the charging station when the battery is low, eliminating the need for human contact.

AMRs mounted with sprayer mechanisms can use pre-built maps to navigate contaminated areas. These robots reduce the risk of human exposure to contaminated areas and highly concentrated chemicals.

The post-pandemic world has also seen the rise of Robot as a Service (RaaS). RaaS is a robotic rental solution for B2C and B2B businesses.

RaaS eliminates the initial costs of robot installation, which requires large amounts of knowledge and computing power. This rental service makes AMRs more accessible to small and medium-sized enterprises. RaaS enables smaller organisations to enjoy the benefits of flexibility and scalability that AMRs come with. These benefits would otherwise only be available to larger organisations that can afford the installation costs.

Some retail businesses also experience periodic surges in demand. Finding temporary workers during the pandemic is a challenge, and RaaS offers a practical solution. These retailers can rent AMRs to meet the high demand without investing in the equipment.

The post-pandemic world has enhanced the implementation of AMRs in various industries. These robots offer an effective way of dealing with the labor shortage challenge. Though it is not cost-effective for smaller organisations to invest in AMRs, RaaS allows them to use these robots without investing in them.

Byline by Luke Goodwin, a content marketing manager at FlexQube. To learn more about FlexQube, you can visit their news website.

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Autonomous mobile robots in the post-pandemic world - Manufacturing Global

WILMINGTON, Mass., Feb. 15, 2022 /PRNewswire/ -- Locus Robotics, the leader in autonomous mobile robots (AMR) for fulfillment warehouses, has been chosen as a Top Emerging Startup for Supply Chain Management (SCM) Software by Tracxn, a global platform for tracking startups and private companies. Tracxn's annual global listing recognizes the top companies in SCM Software from a range of industries. Locus status as a Unicorn alongside other industry leaders was also recognized, reflecting Locus's latest market valuation.

"Locus Robotics is proud to have been chosen as one of Tracxn's Top Emerging Startups in SCM software," said Rick Faulk, CEO of Locus Robotics. "We're able to help operators make sense of the huge amount of real-time data our LocusBots provide to deliver an intuitive, predictivetool that's ideal for effective operations planning and labor optimization."

The SCM Software category has over 3,600 startups comprising companies engaged in providing software solutions to execute end-to-end supply chain transactions, supply chain analytics, supply chain risk management and supply chain visibility. This includes companies providing suites of applications for supply chain management, sourcing and procurement solutions, and warehouse management software.

The Tracxn Emerging Award Series recognizes the top companies from across the globe in tech and many other industries. In addition to acknowledging current Unicorns, the Awards also recognize "Soonicorns" (companies with strong short-term potential to become Unicorns) and "Minicorns" (companies which have potential to become Unicorns in the long run). Tracxn's ratings are based on a detailed analysis by internal sector specialist teams coupled with a combination of multiple publicly available signals such as market size, investment by marquee investors, execution excellence and future growth prospects.

About Locus Robotics

Locus Robotics' revolutionary, multi-bot solution incorporates powerful and intelligent autonomous mobile robots that operate collaboratively with human workers to dramatically improve piece-handling productivity 23x, with less labor compared to traditional piece handling systems. Locus helps retailers, 3PLs and specialty warehouses efficiently meet and exceed the increasingly complex and demanding requirements of fulfillment environments. Easily integrating into existing warehouse infrastructures without disrupting workflows, Locus transforms productivity without transforming the warehouse. In 2021 Locus Robotics was named to the prestigious Inc. 500. For more information, visit http://www.locusrobotics.com.

Media Contact:

Christina Gorini

christina@brandstyle.com

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SOURCE Locus Robotics

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Locus Robotics Recognized by Tracxn as a 2022 Top Emerging Startup - KPVI News 6