Abstract: Probabilistic Movement Primitives (ProMPs) and their variants are powerful methods for enabling robots to learn complex tasks from human demonstrations, where motion trajectories are ...
@Inproceedings{Liu2023CVPR, title = {Marching-Primitives: Shape Abstraction from Signed Distance Function}, author = {Liu, Weixiao and Wu, Yuwei and Ruan, Sipu and Chirikjian, Gregory}, booktitle = ...
Abstract: Motion primitives are frequently used to find valid local trajectories for mobile robots, especially in cases where fast replanning is required, but the onboard computational power is ...
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