Model-based Control for Robot Manipulation Tasks with High-dimensional State Spaces
Long horizon manipulation tasks are typically composed of sub-tasks with varying complexity. One phase of the task, for example, may require a continuous action space and another may be more efficiently solved using a discrete action space. Similarly, complexity in the state space may require analog...
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Format: | Thesis |
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Massachusetts Institute of Technology
2022
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Online Access: | https://hdl.handle.net/1721.1/144618 |