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
65
Participants
5
Est. Projects
RoboAuto Hackathon 2026 – AGV & Automation Challenge:
RoboAuto Hackathon 2026 is an intensive 24-hour hands-on robotics and automation challenge designed to push the boundaries of innovation in autonomous systems.
Organized by the Robotics and Innovation Club of Vidya Jyothi Institute of Technology (VJIT), Hyderabad, this event invites engineering students to design and build Automated Guided Vehicle (AGV)-like robots and smart automation solutions that solve real-world industrial problems.
Participants will work in teams to develop functional prototypes capable of tasks such as line-following, path planning, obstacle avoidance, and material transport—core concepts used in modern factories and warehouses.
Throughout the hackathon, teams will receive guidance from experienced mentors and faculty, helping them refine their ideas and improve execution under real-time constraints.
What You'll Build:
AGV-like robots for material handling.
Line-following or path-guided systems.
Obstacle detection and avoidance solutions.
Mini automation systems simulating industrial workflows.
Event Format:
Duration: 24 hours (continuous build and overnight hacking).
Structure:
Idea pitching.
Development and mentorship rounds.
Final demo and evaluation.
Why Participate?:
Gain hands-on experience in robotics, embedded systems, and automation.
Work on real-world industrial problem statements.
Collaborate in teams within a competitive environment.
Win exciting prizes from a ₹10,000 prize pool.
Earn certificates and recognition.
Judge Accessibility
Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10
Top signals
Organizer email available
Student-run event
Actively looking for judges
Organizers
Alex Johnson
alex@example.org
Jamie Rivera
jamie@example.org
Sam Chen
sam@example.org
Estimated Audience
Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech
Technical Focus
AI95%
Web80%
Mobile25%
Industries
Healthcare
Education
Climate
Technologies
Python
React
OpenAI
Why this estimate
• Hosted by a university
• Open to students
• MLH member event
Estimate inferred from event metadata, not actual attendee data.