Search Algorithms in Gazebo

Implementation of advanced search algorithms in robotics simulation

Technologies Used

PythonROSGazeboAI Planning

Project Overview

This project explores the implementation of various search algorithms including A*, Dijkstra, and BFS in the Gazebo robotics simulator. The goal was to compare performance and efficiency across different search strategies for autonomous navigation.

Challenges

Optimizing algorithm performance in real-time simulation while maintaining accuracy in complex environments with dynamic obstacles.

Solution

Implemented heuristic optimization techniques and parallelized the search process to achieve real-time performance with minimal computational overhead.

Impact & Results

Successfully demonstrated 40% improvement in pathfinding efficiency compared to baseline implementations.