SLAM & Path Planning

Quadrotor Simulation

Indoor drone navigation techniques using SLAM and advanced path planning algorithms.

Project Overview

Advanced indoor drone navigation system utilizing SLAM (Simultaneous Localization and Mapping) technology combined with sophisticated path planning algorithms. The system enables autonomous flight in complex indoor environments with real-time obstacle avoidance and optimal route planning.

Technical Implementation

Quadrotor Simulation 1
Quadrotor Simulation 2

Key Technologies

  • SLAM Algorithm: Simultaneous Localization and Mapping for environment understanding
  • Path Planning: Advanced algorithms for optimal route calculation
  • Obstacle Avoidance: Real-time detection and avoidance of obstacles
  • Indoor Navigation: Specialized algorithms for confined space operation
  • Autonomous Control: Self-navigating capabilities without human intervention

Applications

  • Indoor Inspection: Automated inspection of buildings and facilities
  • Search and Rescue: Emergency response in confined spaces
  • Research and Development: Robotics and autonomous systems research
  • Industrial Applications: Warehouse and factory automation