학술논문

Zutu: A Platform for Localization and Navigation of Swarm Robots Using Virtual Grids
Document Type
Working Paper
Source
Subject
Computer Science - Robotics
Language
Abstract
Swarm robots, which are inspired from the way insects behave collectively in order to achieve a common goal, have become a major part of research with applications involving search and rescue, area exploration, surveillance etc. In this paper, we present a swarm of robots that do not require individual extrinsic sensors to sense the environment but instead use a single central camera to locate and map the swarm. The robots can be easily built using readily available components with the main chassis being 3D printed, making the system low-cost, low-maintenance, and easy to replicate. We describe Zutu's hardware and software architecture, the algorithms to map the robots to the real world, and some experiments conducted using four of our robots. Eventually, we conclude the possible applications of our system in research, education, and industries.
Comment: Accepted at 7th International Conference on Robotics and Automation Engineering, ICRAE 2022, Singapore, November 18 - November 20, 2022