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Autonomous Behavior Algorithms

This repository features algorithms for autonomous navigation, obstacle avoidance, localization, and decision-making in robots and drones.

Key Features

  • Path planning algorithms (A*, Dijkstra, RRT)
  • Obstacle avoidance techniques
  • Localization using particle and Kalman filters
  • Decision-making with finite state machines and reinforcement learning

How to Get Started

  • Clone the repository: git clone https://github.com/Aaqil-25/Autonomous-Behavior-Algorithms.git
  • Follow the instructions in the docs/installation_guide.md.

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A repository containing algorithms for autonomous navigation, obstacle avoidance, and decision-making in robots and drones. The repository includes code implementations, simulations, and documentation to assist enthusiasts and researchers in robotics.

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