Challenge Details
Drone Challenge: Search & Rescue - Victim Detection & Prioritized Landing
Open for all undergraduates to explore robotics and take part in a fun, meaningful challenge. Students can experiment with creative ideas, and gain hands-on exposure to real engineering concepts.
Participants must engineer an Unmanned Aerial Vehicle (UAV) capable of autonomously scanning a simulated disaster area to locate human figures (victims) using real-time computer vision.
Main Functionalities
- •Detect victims and log their location
- •Find the designated extraction point and prioritize the landing
Drone Configuration
- •Airframe: F450 Quadcopter Frame
- •Flight Control: ArduPilot/Pixhawk
- •Onboard Brain: Raspberry Pi
- •Vision System: High-definition Camera
Competition Phases
Three progressive phases from online simulation to in-person championship
Phase 1
Online participation using Webots simulation software
Phase 2
Advanced simulation challenges and video submissions
Phase 3
Final competition with provided physical robots
Awards & Recognition
Outstanding teams will be recognized for algorithmic excellence and innovative solutions
Champions
Rs. 100,000
1st Runners Up
Rs. 75,000
2nd Runners Up
Rs. 50,000
Total Prize Pool
Rs. 225,000
Frequently Asked Questions
Common questions about the University Category competition
How do I ensure consistent robot performance?
Consistency relies on the provided video recording. Include a requirements.txt file for library versions (e.g., OpenCV) to aid evaluators. Contact may be made if performance discrepancies occur.
How are robot dimensions checked?
A semi-transparent box node will be placed around the robot to verify compliance with dimension restrictions.
What about dimension restrictions with Webots Proto Robot?
Participants must ensure the robot stays within restrictions during start and execution of the task.
Past Championships
Highlights from previous years of groundbreaking innovation
