Drone Warehouse Navigation - Eyantra
Project Overview
Participated in IIT Bombay's prestigious Eyantra robotics competition, where I developed an autonomous drone system capable of navigating complex warehouse environments. The project focused on precision flight control and intelligent navigation using visual markers.
The Challenge
The Eyantra competition required teams to build drones that could:
- Navigate autonomously through warehouse-like environments
- Detect and interpret ArUco markers for positioning
- Execute precise pick-and-place operations
- Follow optimal paths while avoiding obstacles
- Complete tasks within strict time limits
Project Gallery
Complete drone setup with camera and navigation systems
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Warehouse simulation arena with ArUco markers and obstacles
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Development and testing phase during the competition
Autonomous drone navigation demonstration during competition
My Technical Approach
- ArUco Marker Detection: Implemented computer vision algorithms to detect and decode positioning markers
- Path Planning: Developed custom algorithms to find optimal routes through complex environments
- Flight Control: Created precise control systems for stable autonomous flight
- Real-time Processing: Optimized code for real-time decision making during flight
Built With
Key Features
- Autonomous navigation using visual markers
- Real-time obstacle detection and avoidance
- Precise positioning using ArUco marker triangulation
- Optimal path finding algorithms
- Stable flight control in complex environments
- Quick response to environmental changes
Challenges Solved
- Marker Detection Accuracy: Improved detection algorithms to work under various lighting conditions
- Flight Stability: Implemented advanced control algorithms for smooth autonomous flight
- Real-time Processing: Optimized computer vision pipeline for low-latency decision making
- Path Optimization: Developed efficient algorithms to find the shortest collision-free paths
Competition Achievement
Successfully advanced to the semi-final level of this national competition organized by IIT Bombay.
What I Learned
- Advanced computer vision techniques for real-world applications
- Autonomous system design and implementation
- Real-time algorithm optimization
- Working under competition pressure and tight deadlines
- Integration of multiple complex systems