MIT-REALM/gcbfplus
Jax Official Implementation of T-RO Paper: Songyuan Zhang*, Oswin So*, Kunal Garg, Chuchu Fan: "GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control".
This project helps robotics engineers and control systems designers create collision-free movement for groups of autonomous agents like drones or robots. It takes in details about the agents (e.g., type, number, environment size) and outputs trained control policies that ensure safety while moving towards goals. This is designed for professionals working on multi-agent robotic systems.
111 stars. No commits in the last 6 months.
Use this if you need to develop and evaluate safe, distributed control policies for multiple robots or autonomous vehicles operating in shared spaces.
Not ideal if you are looking for pre-built, ready-to-deploy navigation software for a single robot or if your agents do not require real-time safety guarantees.
Stars
111
Forks
26
Language
Python
License
MIT
Category
Last pushed
Jun 03, 2025
Commits (30d)
0
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