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This repository collects reference implementations for training and evaluating reinforcement learning agents on multi-agent pathfinding problems. The environments explicitly support deadlocks so that agents must cooperate to resolve them.
RoboPID is a PID controller designed for Autonomous Mobile Robotics to handle the combined kinematic and dynamic complexity of differential drive linear and lateral wheeled motion control. The controller implements timestep integration and can be used in discretized time regulators.
A Multi-Agent System (MAS) using SPADE agents is a decentralized framework where multiple autonomous agents communicate and collaborate to solve complex tasks.
Toolkit of mapping, bounding, ranging, trigonmetric functions for the development of mobile robotic software and systems that are frequently needed and convenient to have in one place.
FRedBots is a ROS-based multi-robot warehouse automation system using Q-learning for real-time path planning, task scheduling, and collision avoidance. Presented at ICCCR 2025 (Hangzhou, China), the project demonstrates scalable reinforcement learning integration for autonomous mobile robots in simulated warehouse environments.