Robotics & Machine Learning Daily News2024,Issue(Sep.11) :87-87.

Studies from Delft University of Technology in the Area of Robotics Reported [Engine Agnostic Graph Environments for Robotics (Eagerx): a Graph-based Framewor k for Sim2real Robot Learning]

Robotics & Machine Learning Daily News2024,Issue(Sep.11) :87-87.

Studies from Delft University of Technology in the Area of Robotics Reported [Engine Agnostic Graph Environments for Robotics (Eagerx): a Graph-based Framewor k for Sim2real Robot Learning]

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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 originating from Delft, Netherlands, by NewsR x correspondents, research stated, “Sim2real, that is, the transfer of learned c ontrol policies from simulation to the real world, is an area of growing interes t in robotics because of its potential to efficiently handle complex tasks. The sim2real approach faces challenges because of mismatches between simulation and reality.”

Key words

Delft/Netherlands/Europe/Emerging Tec hnologies/Machine Learning/Robot/Robotics/Delft University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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