policy
digital_twin_thesis
Victor-Johnson · PyTorch
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Overview
Name
digital_twin_thesis
Author
Victor-Johnson
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
Digital twin of a differential drive robot using ROS2 and Gazebo, with reinforcement learning policy training, sim-to-real evaluation, and ML-based anomaly detection deployed on an NVIDIA Jetson Nano.
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
0No environments list digital_twin_thesis yet.
Datasets that reference this policy
0No datasets reference digital_twin_thesis yet.