Robotics & Machine Learning Daily News2024,Issue(Nov.6) :67-68.

Reports from KTH Royal Institute of Technology Highlight Recent Findings in Robo tics and Automation (Adafold: Adapting Folding Trajectories of Cloths Via Feedba ck-loop Manipulation)

Robotics & Machine Learning Daily News2024,Issue(Nov.6) :67-68.

Reports from KTH Royal Institute of Technology Highlight Recent Findings in Robo tics and Automation (Adafold: Adapting Folding Trajectories of Cloths Via Feedba ck-loop Manipulation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Robotics - Robotics a nd Automation have been presented.According to news reporting out of Stockholm, Sweden, by NewsRx editors, research stated, “We present AdaFold, a model-based feedback-loop framework for optimizing folding trajectories.AdaFold extracts a particlebased representation of cloth from RGB-D images and feeds back the repr esentation to a model predictive control to re-plan folding trajectory at every time-step.”

Key words

Stockholm/Sweden/Europe/Robotics and Automation/Robotics/KTH Royal 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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