Learning Sim-to-Real Robot Parkour from RGB Images
Advancements in quadrupedal robot locomotion have yielded impressive results, achieving dynamic maneuvers like climbing, ducking, and jumping. These successes are largely attributed to depth-based visual locomotion policies, known for their robust transferability between simulated and real-world env...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156972 |