首页|Study Data from National University of Singapore Update Knowledge of Robotics an d Automation (Ltldog: Satisfying Temporallyextended Symbolic Constraints for Sa fe Diffusion-based Planning)

Study Data from National University of Singapore Update Knowledge of Robotics an d Automation (Ltldog: Satisfying Temporallyextended Symbolic Constraints for Sa fe Diffusion-based Planning)

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Fresh data on Robotics - Robotics and Automation are presented in a new report. According to news originating from Sin gapore, Singapore, by NewsRx correspondents, research stated, "Operating effecti vely in complex environments while complying with specified constraints is cruci al for the safe and successful deployment of robots that interact with and opera te around people. In this letter, we focus on generating long-horizon trajectori es that adhere to static and temporally-extended constraints/instructions at tes t time." Financial supporters for this research include Agency for Science Technology & Research (A*STAR), Google South Asia & Southeast Asia Award, Natio nal Research Foundation, Singapore, through its Medium Sized Center for Advanced Robotics Technology Innovation.

SingaporeSingaporeAsiaRobotics and AutomationRoboticsNational University of Singapore

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Oct.9)