Robotics & Machine Learning Daily News2024,Issue(Mar.12) :34-34.

New Findings from Harbin Institute of Technology Update Understanding of Robotic s (Trajectory Tracking of Variable Centroid Objects Based On Fusion of Vision and Force Perception)

Robotics & Machine Learning Daily News2024,Issue(Mar.12) :34-34.

New Findings from Harbin Institute of Technology Update Understanding of Robotic s (Trajectory Tracking of Variable Centroid Objects Based On Fusion of Vision and Force Perception)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published.According to news reporting originating in Harbin,People's Rep ublic of China,by NewsRx journalists,research stated,"Compared with tradition al rigid objects' dynamic throwing and catching by the robot,the in-flight traj ectory of nonrigid objects (incredibly variable centroid objects) throwing is mo re challenging to predict and track.This article proposes a variable centroid t rajectory tracking network (VCTTN) with the fusion of vision and force informati on by introducing force data of throw processing to the vision neural network." 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 Harbin Institute of Technology,"The VCTTN-based model-free robot control system is developed to perform highly precise prediction and tracking with a part of the in-flight visi on.The flight trajectories dataset of variable centroid objects generated by th e robot arm is collected to train VCTTN." According to the news reporters,the research concluded:"The experimental resul ts show that trajectory prediction and tracking with the vision-force VCTTN is s uperior to the ones with the traditional vision perception and has an excellent tracking performance." This research has been peer-reviewed.

Key words

Harbin/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Harbin Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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