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Robotics and Intelligent Machines

ISEF category ROBO · difficulty for high-school students: medium

Design, construction, and programming of robotic systems. Includes autonomous robots, manipulation, locomotion, computer vision, human-robot interaction, and swarm robotics.

How it's judged

ISEF scores 100 points across five criteria:

  • Creative Ability: 30 pts
  • Scientific Thought: 30 pts
  • Thoroughness: 15 pts
  • Skill: 15 pts
  • Clarity: 10 pts

What wins

  • Novel locomotion mechanism inspired by biology with quantitative comparison to existing designs
  • Robot-human interaction study with IRB-approved user testing
  • Swarm algorithm implementation with emergent behavior analysis
  • Computer vision system for a novel real-world task (accessibility, environmental monitoring)
  • Soft robotics: novel actuator design with characterization

Common mistakes

  • Building a robot that follows a line — this is a first-year CS class project
  • Testing only in controlled lab conditions, not real-world scenarios
  • Not reporting performance metrics quantitatively (success rate, error, speed)
  • Claiming 'AI' when using simple rule-based control

What you'll need

Microcontroller (Arduino, Raspberry Pi), motors, sensors, 3D printer access helpful. Computer vision work needs a GPU (free via Google Colab).

Ethics & approvals

Human-subjects (IRB) approval is usually not required for this category. Vertebrate-animal (IACUC) approval is usually not required.

The novelty bar

A novel task, a novel mechanical design, or a novel algorithm. A robot that performs an already-solved task is not competitive unless it does so with a fundamentally new approach.

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Robotics and Intelligent Machines — ISEF Category Guide: Projects, Judging & How to Win · Finalia