In recent years, computer scientists have developed mobile robots that could be introduced in a variety of settings. To efficiently navigate unstructured environments, however, these robots should be able to plan safe paths to reach their desired destinations.

The RTOS must evolve to meet the rising demand of artificial intelligence and other intelligent edge technologies. Clear synergies and dependencies among AI, security, connectivity, and data analytics can only be addressed with modern RTOS development.

Last Sunday we started another series on IEEE/RSJ IROS 2020 (International Conference on Intelligent Robots and Systems) original series Real Roboticist. In this episode you’ll meet Ruzena Bajczy, Professor Emerita of Electrical Engineering and Computer Science at the University of California, Berkeley. She is also the founding Director of CITRIS (the Center for Information Technology Research in the Interest of Society).

In her talk, she explains her path from being an electrical engineer to becoming a researcher with Emeritus honours, and with over 50 years of experience in robotics, artificial intelligence and the foundations of how humans interact with our environment. Are you curious about the tips she’s got to share and her own prediction of the future of robotics? Don’t miss it out!

For the past 50 years, mechanical engineering students at MIT have convened on campus for a boisterous robot competition. Since the 1970s, when the late Professor Emeritus Woodie Flowers first challenged students to build a machine using a "kit of junk," students in class 2.007 (Design and Manufacturing I) have designed and built their own robots to compete in the class's final robot competition. For many students, the class and competition are a driving factor in their decision to enroll in MIT.

Scientists propose a novel mechanism for inducing high-speed bending in thick crystals by heating them up with light

Robot mobility is booming worldwide: Unit sales of Autonomous Mobile Robots (AMRs) in the logistics sector e.g. will increase by 31% between 2020 and 2023 annually. At the same time, the use of AMRs in public environments will also go up rapidly – IFR predicts unit sales will grow by 40% per year worldwide.

How mobility is reshaping robotics and why this is a game-changing revolution has been researched by the International Federations of Robotics and published in the new paper “A Mobile Revolution”.

“Mobile robots have traditionally operated in industrial settings to transport parts throughout the factory or feed machines,” says Milton Guerry, President of the International Federation of Robotics. “Today, AMRs also work in applications where contact with the general public is intended. They provide information to shoppers, deliver room service orders in hotels or support police officers by patrolling city areas. IFR´s mobile revolution paper gives an overview of the main use cases for mobile robots and their most significant impacts.”

A short history of autonomous mobility

While researchers have worked on technologies for autonomous mobility since the 1940s, autonomous mobile robots have only become commercially viable over the last decade. This is primarily due to the availability of far more powerful and cheaper computing power. This has led to rapid developments in sensor, vision and analytics technologies which enable robots to connect in real-time to their environment. Today, “Autonomous Mobile Robots” show double digit growth. AMRs navigate and perform functions autonomously in industrial and service sectors and pave the way for mobile robot adoption around the world.

Outlook

“Mobile robotics is a dynamic field of development and we expect exciting advances over the next decade,” says Milton Guerry. These advances will take place in both hardware and software. Mobile robots will become lighter and more flexible. AMRs and service robots will be able to navigate in a range of indoor and outdoor environments more easily as advances in sensors and software algorithms mean that navigation and vision become more and more precise.

Publication

• A Mobile Revolution – How mobility is reshaping robotics

Crawfish harvesting is a way of life that goes back to the late 1800s in South Louisiana. It's a skill handed down from generation to generation that not only keeps the tradition alive but also puts smiles on the faces of Louisianans who enjoy the fruits of the harvesters' labor. Realizing the importance of this tradition, yet wanting to innovate it, a team of senior LSU Biological and Agricultural Engineering students recently designed a robotic arm that can help with the harvest.

Able to climb stairs, navigate rough terrain, and respond to commands, Spot, the mobile robotic dog, offers researchers an autonomous technology for innovations in infrastructure maintenance and repair Jie Gong thinks robots hold the key to mitigating dangers that can occur during industrial inspections and can serve as innovative tools to maintain the transportation network and aging infrastructure throughout the country.

Jaimi Lard gets into position. She cups her left hand over the device, spreading her fingers across the top of it, and raises her right hand. When Lard is ready, Samantha Johnson presses a few keys on a laptop wired to the robot and then, with a mechanical buzzing sound filling the air, the device begins to move.

Swarm robotics is a relatively new and highly promising research field, which entails the development of multi-robot teams that can move and complete tasks together. Robot swarms could have numerous valuable applications. For instance, they could support humans during search and rescue missions or allow them to monitor geographical areas that are difficult to access.

If you are an investor, business leader, or technology user who seeks to understand the technologies you are investing in, this article is for you. What follows is an explanation of vision-guided robotics and deep-learning algorithms.

In this episode, Shihan Lu interviews Travis Schneider, Business Development Manager at RE2 Robotics, focusing on their work on mobile outdoor manipulation. Travis introduces several robotic products and services of RE2, including RE2 Sapien robotic arms and human-centered system integration, and how they can be used to help rather than replace workers. He also shares his thoughts about challenges in human-robot collaboration.

Travis Schneider
Travis Schneider, Business Development Manager at RE2 Robotics (RE2), works to foster commercial B2B partnerships with groups interested in leveraging RE2’s robotic technology for applications in a wide variety of markets, including aviation, construction, energy, and medical. With a background in Mechanical Engineering, Travis has an intimate knowledge of many of the fundamentals associated with robotic systems including electromechanical design, motion control, and associated software.

 

Links

• RE2 Robotics
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Using Access Control Lists (ACLs) to establish rules that grant or deny access to different data types includes sensitive data. Every user in an application has a role, and every role has a set of permissions configured to perform or restrict actions to entities and system capabilities.

Last Wednesday we started this series of posts showcasing the plenary and keynote talks from the IEEE/RSJ IROS2020 (International Conference on Intelligent Robots and Systems). This is a great opportunity to stay up to date with the latest robotics & AI research from top roboticists in the world. This week we’re bringing you Prof. Frank Dellaert (Georgia Institute of Technology; Google AI) and Prof. Ashish Deshpande (The University of Texas).

Prof. Frank Dellaert – Perception in Aerial, Marine & Space Robotics: a Biased Outlook Bio: Frank Dellaert is a Professor in the School of Interactive Computing at the Georgia Institute of Technology and a Research Scientist at Google AI. While on leave from Georgia Tech in 2016-2018, he served as Technical Project Lead at Facebook’s Building 8 hardware division. Before that he was also Chief Scientist at Skydio, a startup founded by MIT grads to create intuitive interfaces for micro-aerial vehicles. His research is in the overlap between robotics and computer vision, and he is particularly interested in graphical model techniques to solve large-scale problems in mapping, 3D reconstruction, and increasingly model-predictive control. The GTSAM toolbox embodies many of the ideas his research group has worked on in the past few years and is available at https://gtsam.org.

Prof. Ashish Deshpande – Harmony Exoskeleton: A Journey from Robotics Lab to Stroke Bio: Ashish D. Deshpande is passionate about helping stroke patients recover from their disabilities and he believes robots could serve as important tools in the recovery process. He is a faculty member in Mechanical Engineering at The University of Texas at Austin, where he directs the ReNeu Robotics Lab. His work focuses on the study of human system and design of robotic systems toward the goals accelerating recovery after a neurological injury (e.g. stroke and spinal cord injury), improving the quality of lives of those living disabilities (e.g. amputation) and enhancing lives and productivity of workers, soldiers and astronauts. Specifically, his group has designed two novel exoskeletons for delivering engaging and subject-specific training for neuro-recovery of upper-body movements after stroke and spinal cord injury. Dr. Deshpande is a co-founder of Harmonic Bionics whose mission is to improve rehabilitation outcomes for the stroke patients.

Through the combination of technology and our expertise in designing automated high-density storage and retrieval, we’re able to achieve high levels of throughput that only automation working alongside people can bring.