Fast and Compute-Efficient Sampling-Based Local Exploration Planning via Distribution Learning

Author:

Schmid Lukas1ORCID,Ni Chao1ORCID,Zhong Yuliang1,Siegwart Roland1ORCID,Andersson Olov1ORCID

Affiliation:

1. Autonomous Systems Lab, Department of Mechanical and Process Engineering, ETH Zürich, Zürich, Switzerland

Funder

Microsoft Swiss Joint Research Center

Wallenberg Foundation

WASP Postdoctoral Scholarship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference32 articles.

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