ScottyActivity: Mixed Discrete-Continuous Planning with Convex Optimization
The state of the art practice in robotics planning is to script behaviors manually, where each behavior is typically generated using trajectory optimization. However, in order for robots to be able to act robustly and adapt to novel situations, they need to plan these activity sequences autonomously...
Main Authors: | Fernandez Gonzalez, Enrique, Williams, Brian C, Karpas, Erez |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
AI Access Foundation
2020
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Online Access: | https://hdl.handle.net/1721.1/123528 |
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