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CompetitionVerifiedSTEM & Innovation

Robofest India - Vision Centric Challenge (VCC)

by Novatech Robo

Grade 9 to 12$100

Up to $80K LTU Scholarship

Advanced autonomous robotics competition using computer vision to navigate traffic signs and obstacle courses, with pathway to Robofest World Championship.

Mode

In-Person

Fee

$100

Participation format

Individual and team

Teams of 1 to 5

Duration

1 day (India Regional)

Eligibility

Open to students in Classes 9-12 only (Senior division). Teams of 1-5 students. Requires advanced robotics and computer vision skills.

Grade level
Grade 9 to 12
Age range
14 to 18 years
Eligibility region
Available nationwide across India
Academic requirement
Senior division only — students in Classes 9-12.
Prerequisites
  • Advanced robotics building and programming skills
  • Computer vision and camera integration experience
  • Understanding of autonomous navigation

See if your child qualifies.

Rewards and recognition

Award

Up to $80,000 LTU Scholarship

World Championship 1st place: $20,000/year ($80,000 total). 2nd: $16,000/year. 3rd: $14,000/year. Any participant: $3,000/year.

Prizes

Trophies & World Championship Qualification

TrophiesWorld Championship qualification

Certificate

Participation Certificate

Opens doors to

LTU scholarship for Robofest participants

Recognition

International Recognition (World Championship)

Skills your child builds

Computer VisionAutonomous NavigationImage RecognitionAI ProgrammingSensor Fusion

Key dates

Last edition

Competition
17 Jan 2026

How to apply

  1. 1Register your team on robofestindia.org
  2. 2Build a robot with camera-based vision capabilities for autonomous navigation
  3. 3Program traffic sign recognition and autonomous driving algorithms
  4. 4Attend India Regional to compete on the VCC course

Rules and guidelines

  • All robots must be fully autonomous — no remote control allowed
  • Robot must use camera-based computer vision for navigation
  • Robot must recognize and respond to traffic signs autonomously
  • Any robotics kit and programming language permitted
  • All code must be written from scratch by student participants
  • Senior division only (Classes 9-12)

Technology requirements

  • Robotics platform with camera/vision capabilities
  • Computer vision programming environment
  • Camera sensor for traffic sign recognition

Fees and financial support

Fee details

$100 per team for India Regional.

About this opportunity

Robofest India Vision Centric Challenge (VCC) is an advanced computer vision and autonomous mobile robotics competition. Formerly known as the Mini Urban Challenge, VCC challenges students to build robots that use cameras to maneuver through obstacle courses, drive along realistic roads, stop at traffic lights drawn on the road, and recognize traffic signs autonomously.

The 2026 theme is the Robo-Driver Traffic Sign Challenge, where robots must recognize and respond to traffic signs while navigating a course. This Senior-only competition (Classes 9-12) requires knowledge of computer vision, autonomous navigation, and sensor integration. Any robotics kit and programming language may be used.

The VCC Technical Committee includes Dr. Vijay John, Devson Butani, Dr. CJ Chung (VCC founder), Dr. Mohammad Hassanzadeh, and Dr. Tao Liu. Winners from Robofest India qualify to represent India at the Robofest World Championship, with scholarship opportunities at Lawrence Technological University valued up to $80,000.

Rounds and format

Robots navigate an obstacle course using camera-based vision.

How entries are judged

Score-based evaluation using the VCC Score Sheet. Robots scored on accuracy of traffic sign recognition, navigation quality, and course completion.

Selection process

Winners from India Regional qualify for Robofest World Championship.

Academic details

Computer ScienceArtificial IntelligenceRoboticsMathematics

Difficulty: Advanced

Frequently asked questions

What are the key strategies for students to excel in the Vision Centric Challenge?

Success in VCC requires a strong foundation in computer vision, robust robot design, and efficient programming. Teams should focus on iterative testing, understanding the challenge rules thoroughly, and optimizing their algorithms for real-time performance.

How can participants effectively manage the pressure of a high-stakes robotics competition like VCC?

Managing competitive pressure involves thorough preparation, practicing under timed conditions, and fostering strong teamwork. Encouraging a problem-solving mindset over solely focusing on winning can also help maintain composure.

What common mistakes should teams avoid during the robot building and programming phases for VCC?

Common mistakes include neglecting robust mechanical design, insufficient testing of vision algorithms in varied lighting, and not accounting for sensor noise. Teams should prioritize modular code and thorough documentation.

How does participation in VCC contribute to a student's long-term academic and career development?

VCC participation provides invaluable hands-on experience in advanced robotics, AI, and computer vision, which are critical skills for future STEM careers. It also offers opportunities for international recognition and scholarships.

What are the primary factors considered in the judging and scoring of robots in the Vision Centric Challenge?

Judging in VCC typically focuses on the robot's ability to autonomously navigate the course, accurately recognize and respond to traffic signs, and complete mission objectives efficiently. Robustness and innovative solutions are also highly valued.

Are there any specific hardware or software requirements for the robot in VCC?

Participants can use any robotics kit and programming language. The key requirement is that the robot must be equipped with camera-based vision capabilities for autonomous navigation and traffic sign recognition. No specific brand or platform is mandated.

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Organization

Novatech Robo

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Categories

Robotics CompetitionsRobotics & ElectronicsArtificial IntelligenceRobotics CompetitionsCoding & DevelopmentProblem Solving

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