Exploring Learning Trajectory Constraints From Demonstrations
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- Video presentation of our paper "ILCL: Inverse Logic-
- D. Papageorgiou, Z. Doulgeri,
- Robots deployed in real-world environments must be able to effectively
- "**Uncertainty-Aware
- C-
In-Depth Information on Learning Trajectory Constraints From Demonstrations
HERB, of Carnegie Mellon's Personal Robotics Lab, and CURI, of Georgia Tech's Socially Intelligent Machines Lab, In this work at first, I recognize the object in the scene and estimate the 6 DOF pose of that. Then I track the object by using particle ... This video is an introduction to Abstract: In many applications of reinforcement
Video accompanying the paper "
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