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GitHub / nishantpandey4 / Drone-navigation-and-obstacle-avoidance-using-DDPG

The project presents a drone obstacle avoidance system using Microsoft AirSim and the DDPG algorithm, training drones with LIDAR and depth sensors for improved real-time navigation. It compares the implementation of DDPG algorithm with different sensors and their combination.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/nishantpandey4%2FDrone-navigation-and-obstacle-avoidance-using-DDPG

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 12 MB
Dependencies parsed at: Pending

Created at: 11 months ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 11 months ago

Topics: airsim, anaconda3, ddpg-algorithm, lidar, python3, reinforcement-learning, stablebaselines3

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