Planning with Learned Subgoals Selected by Temporal Information
Author:
Affiliation:
1. Karlsruhe Institute of Technology,Institute for Anthropomatics and Robotics,Karlsruhe,Germany,76131
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10610538.pdf?arnumber=10610538
Reference26 articles.
1. Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions
2. Adaptive Experience Sampling for Motion Planning Using the Generator-Critic Framework
3. Learning Implicit Sampling Distributions for Motion Planning
4. LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
5. Learning Sampling Distributions for Robot Motion Planning
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