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Development of a Miniature Robot for Multi-robot Occupancy Grid Mapping
Conference proceeding

Development of a Miniature Robot for Multi-robot Occupancy Grid Mapping

Jugesh Sundram, Duong Van Nguyen, Gim Song Soh, Roland Bouffanais and Kristin Wood
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings, p.414
01/01/2018

Abstract

Embedded systems Indoor environments Laser applications Mapping Mechatronics Multiple robots Performance evaluation Robotics Robots
Conference Title: 2018 3rd International Conference on Advanced Robotics and Mechatronics (ICARM) Conference Start Date: 2018, July 18 Conference End Date: 2018, July 20 Conference Location: Singapore city, Singapore In this paper, we describe the design and evaluate the performance of Orion, a miniature sized differential drive robot for performing Intelligent Surveillance and Reconnaissance (ISR) tasks. The robot has a footprint of 12x12 cm and weighs a total of 150 grams. It is able to navigate over two dimensional surfaces and perform indoor environment sensing using a custom build laser based ranging module. It uses log-odd occupancy and an inverse sensor model for occupancy grid map construction. We show that with our developed system, the robot is able to perform mapping in a closed environment. We also show how multiple of such robots can be extended to perform multi-robot mapping. This is our first step in the development of a multi-robot system for indoor space mapping using an embedded system architecture.

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