This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
in person
69
Participants
₹50,000
Prize Pool
6
Est. Projects
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Quality Score
Quality Score
72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Intelligent Machines Arena Challenge:
The Intelligent Machines Arena invites participants to explore how artificial intelligence and robotics can work together to solve real-world problems.
Modern robotics is rapidly evolving with the integration of machine learning, computer vision, autonomous navigation, and intelligent control systems. This challenge provides participants with an opportunity to design, program, and demonstrate intelligent robotic solutions that combine hardware systems with AI-driven decision making.
Participants will engage in a one-day offline competition where teams will tackle robotics challenges that require autonomy, strategy, and technical innovation.
The event aims to encourage interdisciplinary collaboration between students interested in robotics, artificial intelligence, embedded systems, and intelligent automation.
This is a one-day offline robotics challenge where teams will compete in an arena-based environment designed to test the capabilities of intelligent robotic systems. The specific task details, arena setup, and competition format will be revealed during the event briefing on the day of the competition.
Participants will be expected to design and deploy robotic systems capable of interacting with the arena environment and solving the given challenge efficiently. The competition will focus on autonomous behavior, intelligent decision making, and effective robotic system design.
Evaluation Criteria
Task Performance: Effectiveness in completing the challenge objective.
Efficiency: Speed, precision, and optimization of robot movements.
Technical Design: Engineering quality and system design of the robot.
Innovation: Creative approaches to solving the challenge.
Robustness: Stability and reliability of the robotic system during operation.