The IARC is the world’s longest-running collegiate aerial robotics challenge, aiming to advance the field of aerial robotics by presenting “impossible” mission challenges to participants. Teams develop next-generation aerial robotic systems to solve complex missions.
Robotics | STEM
International Aerial Robotics Competition (IARC)
Share this Comp:
Facebook
Twitter
LinkedIn
WhatsApp
Contact Info
- Phone: Currently Unavailable
- Contact: Currently Unavailable
- Website
- Association for Unmanned Vehicle Systems International (AUVSI) Foundation
Follow this Comp on Social
Great For . . .
Helpful Articles
About the competition
Comp Info
- Estimated Ann. Participants: 200
- Cost: Free
- Estimated Time Commitment: Major
- Participant Format: Small Team
- Event Format: In-Person
- Competition Format: Performance, Simulation/Challenge
- Reach: International
- Event Size: Very Small
Participation Information
Teams must design and build aerial robots to complete specific mission challenges. Past missions have included precision manipulation, optical recognition, and autonomous computing. The competition promotes collaboration and technical innovation.
Open to college and university students worldwide
Trophies, plaques, and recognition for aerial robotics innovation
Teams must design and build aerial robots to complete specific mission challenges. Past missions have included precision manipulation, optical recognition, and autonomous computing. The competition promotes collaboration and technical innovation.
1. Register and form a team. 2. Develop and test autonomous aerial systems. 3. Compete in assigned missions at IARC.
Robotics components, aerial systems, programming tools
Based on innovation, mission performance, use of onboard computing, and collaborative problem-solving.
Related Competitions
Engineering | STEM
- Subjects: Computer Science | Data Analysis | Machine Learning
Engineering | STEM
- Subjects: Civic Engagement | Climate Change | Environmental Issues | Life Sciences | Research | Social Science
Engineering | STEM
- Subjects: Computer Science | Engineering | Programming
Engineering | STEM
- Subjects: Data Analysis | Finance | Machine Learning
