Long-Horizon Prediction and Uncertainty Propagation with Residual Point Contact Learners
The ability to simulate and predict the outcome of contacts is paramount to the successful execution of many robotic tasks. Simulators are powerful tools for the design of robots and their behaviors, yet the discrepancy between their predictions and observed data limit their usability. In this paper...
| Main Authors: | , , |
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2022-01-14T19:46:22Z.
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| Subjects: | |
| Online Access: | Get fulltext |