首页|Findings from Huazhong University of Science and Technology Update Knowledge of Robotics (Switched Momentum Dynamics Identification for Robot Collision Detectio n)
Findings from Huazhong University of Science and Technology Update Knowledge of Robotics (Switched Momentum Dynamics Identification for Robot Collision Detectio n)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Robotics are presented i n a new report. According to news reporting originating in Wuhan, People's Repub lic of China, by NewsRx journalists, research stated, "In modern industry, human -robot collaboration is becoming the norm. Since the robots need to share the sa me workspace with humans in an unstructured/semistructured environment, robot-hu man and robot-environment collisions are inevitable in general." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news reporters obtained a quote from the research from the Huazhong Universi ty of Science and Technology, "To reduce the harm caused by these collisions, it is necessary to detect them in real time so that actions can be taken according ly. In this article, we propose a general robot collision detection method based on switched momentum dynamics identification. This enables real-time collision detection without any additional sensors, which are usually required by most of the existing real-time collision detection methods. Our algorithm identifies the specific parts in robot momentum dynamics that are affected by collisions and r eports a collision occurrence whenever the identified parts deviate from a known collisionfree model. The identification results are further analyzed using a s upport vector machine classifier to locate the linkage involved in the collision s."
WuhanPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningRobotRoboticsHuazhong University o f Science and Technology
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