sair-lab/formation
[T-Cyber 2020] Cooperative Pursuit with Multi-pursuer and One Faster Free-moving Evader
This project helps robotics engineers and researchers simulate and analyze multi-agent systems for tasks like cooperative pursuit or maintaining formations. It takes parameters for multiple robotic agents and a single evader, outputting a simulated scenario where agents attempt to capture or maintain a formation around the evader. The primary users are those working with robotic swarm intelligence, control systems, and autonomous navigation.
No commits in the last 6 months.
Use this if you need to simulate and test strategies for multiple robotic agents cooperatively pursuing a faster, free-moving target or maintaining specific geometric formations.
Not ideal if you are looking for a deployment-ready solution for physical robots or if your primary interest is in single-agent control.
Stars
46
Forks
8
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 23, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/sair-lab/formation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Toni-SM/skrl
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with...
facebookresearch/BenchMARL
BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL...
utiasDSL/gym-pybullet-drones
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
datamllab/rlcard
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
proroklab/VectorizedMultiAgentSimulator
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement...