Meritus Centre for Creativity and Innovation is inviting schools ot take part in the Future Engineers category of the well-renowned World Robotics Olympiad.
Schools are invited to enter a team of three students to participate in this competition. Participating teams need to create, design and build a robot model that look or behave like a human athlete. The competition starts from preliminary to the final judging.
Advanced Robotics, WRO Football, Regular Senior High, Open & WeDo Categories shall be held directly at national championship. Hence, no regional level competition will be held for these category.
3 key challenges of WRO Competition
1. Intense competition - student teams from 100+ countries take part
2. Future Engineers challenge is rigorous & complex
3. Calling for immense hard work and preparation
WRO Future Engineers - Requirements
• Age : 15-19
• Team size : 2-3 school students guided by a coach
• Hardware: Free choice {Wireless version not allowed}
• Software : Free Choice
• Maximum Size : 30*20*30 cm
• Characteristics : Advanced robotics following current research trends
What will students get to do
Use of computer vision and sensor fusion to estimate the state of the parkours and the vehicle itself.
A working vehicle with open-source hardware such as electromechanical components and controllers.
Action planning and control of robots with moving parts and kinematics different from the differential drive (e.g., steering).
Optimal strategies to solve the mission, including stability of mission solving.
Teamwork, communication, problem solving, project management, creativity.
An Engineering journal to show progress and design strategies.
Registration date : Ends on 30th June 2023
South + West Regionals : 12th August to First Sep’2023
North + East Regionals : 2nd September to 12th Sep’2023
National’s : 23rd to 24th Sep’2023
WRO International Competition : 7th to 9th Nov’2023
Prerequisites
Students must have basic knowledge of Python.
Students must have basic knowledge of Computer Vision.
Students must have basic knowledge of Machine Learning.
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