首页|Study Results from University of Manchester Broaden Understanding of Robotics (U nwieldy Object Delivery With Nonholonomic Mobile Base: a Free Pushing Approach)
Study Results from University of Manchester Broaden Understanding of Robotics (U nwieldy Object Delivery With Nonholonomic Mobile Base: a Free Pushing Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting originating from Manchester, United Kingdom, by NewsRx correspondents, research stated, “This letter explores the problem of delivering unwieldy objects using nonholonomic mobile bases. We propose a new a pproach called free pushing to address this challenge.” Financial support for this research came from China Scholarship Council. Our news editors obtained a quote from the research from the University of Manch ester, “Unlike previous stable pushing methods which maintain a stiff robot-obje ct contact, our approach allows the robot to maneuver around the object while pu shing it. It aims to execute continuous pushes without losing contact for improv ed pushing maneuverability. Additionally, to ensure the feasibility of the plann ed pushes, a robot-object contact model is developed to account for the shape an d kinematics of the robot in pushing modeling and planning. A Model Predictive C ontroller solves the pushing planning problem in real time. Experimental results show that the proposed method achieves an average success rate of 83% with an accuracy of 0.085 m when pushing to the selected goals. Compared to the baselines, this approach improves the agility and efficiency of mobile pushers.”
ManchesterUnited KingdomEuropeEmer ging TechnologiesMachine LearningRobotRoboticsUniversity of Manchester
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