Robotics & Machine Learning Daily News2024,Issue(Mar.13) :89-90.

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)

Robotics & Machine Learning Daily News2024,Issue(Mar.13) :89-90.

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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Abstract

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.

Key words

Southern University of Science and Techn ology (SUSTech)/Shenzhen/People’s Republic of China/Asia/Emerging Technologi es/Machine Learning/Robotics/Robots/Virtual Environments

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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