IEEE - Institute of Electrical and Electronics Engineers, Inc. - Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models

Author(s): Jung-Su Ha ; Hyeok-Joo Chae ; Han-Lim Choi
Sponsor(s): RAS
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2018
Volume: 3
Page(s): 3,892 - 3,899
ISSN (CD): 2377-3774
ISSN (Electronic): 2377-3766
DOI: 10.1109/LRA.2018.2856915
Regular:

This work presents an efficient framework to generate a motion plan of a robot with high degrees of freedom (e.g., a humanoid robot). High dimensionality of the robot configuration space often... View More

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