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A fully visualized implementation of the Dynamic Window Approach (DWA) in Python using Pygame. Simulate and visualize obstacle avoidance and goal-reaching for mobile robots in 2D space — perfect fo…
A modular SLAM system combining Particle Filter-based localization, Occupancy Grid Mapping (OGM), Dynamic Window Approach (DWA) for real-time obstacle avoidance, and D* Lite for global path replann…
This project implements a Proximal Policy Optimization (PPO) reinforcement learning agent to train the Minitaur robot to walk in the MinitaurBulletEnv-v0 environment using PyBullet. The agent uses …
A curiosity-driven PPO + ICM reinforcement learning agent for autonomous maze exploration and victim rescue — built to evolve into a full SLAM-based search and rescue system.
This project implements the Proximal Policy Optimization (PPO) algorithm with PyTorch, applied to the CarRacing-v2 Box2D environment from the OpenAI Gym library.