Swarm Robotics: A Research Project With High School Students As Active Participants
Author(s) -
C. Nataraj,
Sanjeev Reddy,
Mark Woods,
Biswanath Samanta
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--16649
Subject(s) - swarm robotics , robotics , artificial intelligence , robot , ant robotics , particle swarm optimization , swarm behaviour , computer science , mobile robot , human–computer interaction , machine learning , robot control
This paper is concerned with an educational project to provide a rich research experience on swarm robotics to high school students. A group of three mobile robots (the popular Lego NXT) was used to implement a ‘search and rescue’ operation. A bio-inspired global optimization technique called particle swarm optimization (PSO) was used as the principal algorithm. Each robot was placed in pre-defined positions with a target position corresponding to a single target. The robots were programmed to search in spirals until the target was found by any one of the robots. Once the target was detected the robots attempted to reach the target using the PSO algorithm. Results were encouraging. The high school students were wholly responsible for all programming and experimental tasks and got an immersive experience of a real-time cuttingedge engineering research application.
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