AI & Tooling · Open Source · Research · 2026

RL Drone Path Planning

PPO vs A* for 2D drone navigation in a custom Gymnasium environment — including a live dynamic-obstacle experiment.

PPO · Gymnasium · A* · Research · Drone · Autonomous Drones · AI ML

Overview

A custom Gymnasium environment models a drone in a 2D occupancy grid with range-sensor observations and shaped rewards. A PPO agent (Stable-Baselines3) is trained and compared against classical A* planning.

The dynamic-obstacle experiment shows where reinforcement learning genuinely beats classical planning — and where it doesn't.

Media

Drone : RealTime RL with Obstacle Avoidance
Drone : RealTime RL with Obstacle Avoidance
RL vs A* on SLAMmap : PathPlanning
RL vs A* on SLAMmap : PathPlanning
RL vs A* on SLAMmap : RewardMap
RL vs A* on SLAMmap : RewardMap
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