首页|Studies from U.S. Naval Academy Describe New Findings in Robotics (Guaranteed Re al-time Cooperative Collision Avoidance for n-dof Manipulators)
Studies from U.S. Naval Academy Describe New Findings in Robotics (Guaranteed Re al-time Cooperative Collision Avoidance for n-dof Manipulators)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news originating from Annapolis, Maryland, by NewsRx corresponde nts, research stated, “This paper presents a decentralized, cooperative, real-ti me avoidance control strategy for robotic manipulators. The proposed avoidance c ontrol law builds on the concepts of artificial potential field functions and pr ovides tighter bounds on the minimum safe distance when compared to traditional potential-based controllers.” Funders for this research include Office of Naval Research, Office of Naval Rese arch.
AnnapolisMarylandUnited StatesNort h and Central AmericaEmerging TechnologiesMachine LearningRoboticsRobotsU.S. Naval Academy
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