Weixy21/SafeDiffuser
Safe Planning with Diffusion Probabilistic Models
This project helps robotics researchers and practitioners develop and test path planning algorithms that prioritize safety. It takes data from simulated environments like mazes, robotic arm movements, or humanoid locomotion, and generates sequences of actions to guide a robot. The primary users are researchers and engineers working on safe reinforcement learning and robotic control.
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Use this if you are a robotics researcher exploring diffusion models for safe robot trajectory generation in simulated environments like maze navigation or robot manipulation.
Not ideal if you are looking for an out-of-the-box solution for real-world robotic deployment or if you are not comfortable with customizing deep learning models and experimental setups.
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66
Forks
9
Language
Python
License
MIT
Category
Last pushed
Apr 30, 2025
Commits (30d)
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