Name
Title | ||
|---|---|---|
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections |
Abstract | ||
|---|---|---|
The human input has enabled autonomous systems to improve their capabilities and achieve complex behaviors that are otherwise challenging to generate automatically. Recent work focuses on how robots can use such inputs-such as, demonstrations or corrections-to learn intended objectives. These techniques assume that the human`s desired objective already exists within the robot's hypothesis space. I... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TRO.2020.2971415 | IEEE Transactions on Robotics |
Keywords | DocType | Volume |
Task analysis,Uncertainty,Collision avoidance,Manipulators,Planning,Estimation | Journal | 36 |
Issue | ISSN | Citations |
3 | 1552-3098 | 5 |
PageRank | References | Authors |
0.54 | 26 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreea Bobu | 1 | 7 | 1.30 |
| Andrea Bajcsy | 2 | 30 | 5.28 |
| Jaime F. Fisac | 3 | 104 | 10.53 |
| Deglurkar Sampada | 4 | 5 | 0.54 |
| Anca D. Dragan | 5 | 529 | 48.64 |