首页|Researchers from National University of Singapore Report on Findings in Robotics (Primp: Probabilistically-informed Motion Primitives for Efficient Affordance L earning From Demonstration)
Researchers from National University of Singapore Report on Findings in Robotics (Primp: Probabilistically-informed Motion Primitives for Efficient Affordance L earning From Demonstration)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news originating from Singapore, Singapore, by NewsRx cor respondents, research stated, “This article proposes a Learning-from- Demonstrati on (LfD) method using probability densities on the workspaces of robot manipulat ors. The method, named PRobabilistically-Informed Motion Primitives (PRIMP), lea rns the probability distribution of the end effector trajectories in the 6-D wor kspace that includes both positions and orientations.” Financial support for this research came from NUS Startup.
SingaporeSingaporeAsiaEmerging Tec hnologiesMachine LearningRobotRoboticsNational University of Singapore
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