首页|Findings from Southern University of Science and Technology (SUSTech) Broaden Un derstanding of Robotics (Variable Time-Step Physics Engine with Continuous Compl iance Contact Model for Optimal Robotic Grinding Trajectory Planning)
Findings from Southern University of Science and Technology (SUSTech) Broaden Un derstanding of Robotics (Variable Time-Step Physics Engine with Continuous Compl iance Contact Model for Optimal Robotic Grinding Trajectory Planning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on robotics have been pr esented. According to news reporting from Shenzhen, People’s Republic of China, by NewsRx journalists, research stated, “In the transition from virtual environm ents to real-world applications, the role of physics engines is crucial for accu rately emulating and representing systems. To address the prevalent issue of ina ccurate simulations, this paper introduces a novel physics engine uniquely desig ned with a compliant contact model designed for robotic grinding.” Financial supporters for this research include National Key R&D Pro gram of China; Science, Technology And Innovation Commission of Shenzhen Municip ality.
Southern University of Science and Techn ology (SUSTech)ShenzhenPeople’s Republic of ChinaAsiaEmerging Technologi esMachine LearningRoboticsRobotsVirtual Environments
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