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You are here: Home / News / Warehouse News / The Robot Report May 2020 issue: autonomous mobile robots

The Robot Report May 2020 issue: autonomous mobile robots

The Robot Report May 2020 issue: autonomous mobile robots

View original at www.therobotreport.com

We hope you find the latest edition of The Robot Report informative. This month’s issue is devoted to autonomous mobile robots. The insert appeared in the May 2020 print issue of Design World , sibling publication to The Robot Report , Collaborative Robotics Trends , and Robotics Business Review . The May 2020 issue includes the following articles: How former coal miners became mobile robot technicians The eKentucky Advanced Manufacturing Institute is providing a lifeline for former coal miners, helping them switch careers to mobile robot technicians. Learn how Matt Neace, Devan Parsons and others made their way from the coal mines of Appalachia to AutoGuide Mobile Robots. How to optimize autonomous navigation through networking The Fraunhofer Institute for Manufacturing Engineering and Automation in Stuttgart, Germany, has been developing its NODE technology to improve the navigation of autonomous mobile robots. The system builds a common database by cross-linking vehicles, both among themselves and with external computing resources. Thanks to this common database, each vehicle always has access to the sensor data of the entire fleet. 5 trends in supply chain robotics From bigger platforms and more integrated software to increasing specialization, there are many signs of maturing technologies. Senior Editor Eugene Demaitre looks at five trends in supply chain robotics. BADGR mobile robot learns to navigate on its own A geometric approach to mobile robot navigation and obstacle avoidance may be sufficient for environments such as warehouses, but it might not be enough for dynamic settings outdoors. Researchers at the University of California, Berkeley developed BADGR, “an end-to-end, learning-based mobile robot navigation system that can be trained with self-supervised, off-policy data gathered in real-world environments, without any simulation or human supervision.” 60 AMRs improve Ingram Micro’s productivity during peak season A robotics-as-a-service model helps Ingram Micro flexibly deploy 6 […]

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