Project Overview
This project focuses on the development of mobile robots and the implementation of autonomous navigation algorithms.
The system integrates advanced sensor fusion techniques to enable robust obstacle detection and efficient path planning.
The implementation was carried out on Ubuntu 18.04 using ROS1 and the navigation stack, with the TEB (Timed Elastic Band) algorithm employed as the local path planner.
Key Features
- Real-time multi-sensor data fusion using adaptive algorithms
- Dynamic obstacle detection and avoidance
- Robust path planning in complex indoor environments
- Integration of LiDAR, and capacitive proximity sensors
- Implementation on Ubuntu 18.04 with ROS1 and navigation stack
- TEB algorithm for efficient and adaptive local path planning
Results
Experimental validation demonstrated superior performance compared to traditional single-sensor approaches,
with improved accuracy in obstacle detection and path planning efficiency.
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