首页|Reports Summarize Robotics Study Results from Technical University Munich (TU Munich) (Tactile-based Negotiation of Unknown Objects During Navigation In Unstructured Environments With Movable Obstacles)
Reports Summarize Robotics Study Results from Technical University Munich (TU Munich) (Tactile-based Negotiation of Unknown Objects During Navigation In Unstructured Environments With Movable Obstacles)
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Wiley
Investigators publish new report on Robotics. According to news reporting out of Munich, Germany, by NewsRx editors, research stated, “Traditional robot navigation passively plans/replans to avoid any contact with obstacles in the scene. This limits the obtained solutions to the collision-free space and leads to failures if the path to the goal is obstructed.” Financial support for this research came from Deutsche Forschungsgemeinschaft. Our news journalists obtained a quote from the research from Technical University Munich (TU Munich), “In contrast, humans actively modify their environment by repositioning objects if it assists locomotion. This article aims to bring robots closer to such abilities by providing a framework to detect and clear movable obstacles to continue navigation. The approach leverages a multimodal robot skin that provides both local proximity and tactile feedback regarding physical interactions with the surroundings. This multimodal contact feedback is employed to adapt the robot’s behavior when interacting with object surfaces and regulating applied forces. This enables the robot to remove bulky obstacles from its path and solves otherwise infeasible navigation problems. The system’s ability is demonstrated in simulation and real-world scenarios involving movable and nonmovable obstacles. During locomotion, humans leverage their ability to move objects if it helps reach obstructed goals. This work aims to bring robots closer to such abilities by providing a framework that detects and clears movable obstacles to solve otherwise infeasible navigation problems.”
MunichGermanyEuropeEmerging TechnologiesMachine LearningNano-robotRobotRoboticsTechnical University Munich (TU Munich)
NETL
NSTL
Wiley
