Autonomous Drone Navigation
Implemented reinforcement learning algorithms for autonomous drone navigation in complex environments.
Overview
Implemented reinforcement learning algorithms for autonomous drone navigation in complex environments. This project focuses on developing robust navigation systems that enable drones to operate safely and efficiently in challenging scenarios.
Technologies Used
PyTorch
ROS
C++
Python
Key Features
- Real-time obstacle detection and avoidance
- Reinforcement learning-based path planning
- Integration with ROS (Robot Operating System)
- Simulation environment for training and testing