policy
Spot-micro-rugged-terrain-rl-sim
SarthakBagga · PyTorch
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Overview
Name
Spot-micro-rugged-terrain-rl-sim
Author
SarthakBagga
Framework
PyTorch
License
MIT
Skill type
locomotion
Evidence level
untested
Task description
Reinforcement Learning-based rugged terrain locomotion for the SpotMicro quadruped using Augmented Random Search (ARS) in PyBullet. Fine-tunes flat-ground walking policies on randomized heightfield terrain with domain randomization, contact sensing, and parallel training workers. Extends the origina
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
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Datasets that reference this policy
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