Uncertainty-Aware Manipulation Planning Using Gravity and Environment Geometry
Author:
Affiliation:
1. Mujin Inc., Koto, Tokyo, Japan
2. OMRON SINIC X Corporation, Bunkyo, Tokyo, Japan
3. Robot Learning Laboratory, Nara Institute of Science and Technology, Nara, Japan
Funder
(organizations/grants which supported the work.)
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
Link
http://xplorestaging.ieee.org/ielx7/7083369/9831196/09894673.pdf?arnumber=9894673
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1. Associating Uncertainty With Three-Dimensional Poses for Use in Estimation Problems
2. In-Hand Grasping Pose Estimation Using Particle Filters in Combination with Haptic Rendering Models
3. A Probabilistic Planning Framework for Planar Grasping Under Uncertainty
4. Automatic Synthesis of Fine-Motion Strategies for Robots
5. Uncertainty-aware reinforcement learning for collision avoidance;kahn,2017
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