This work presents the design and development of the quadruped robot Squeaky to be used as a research and learning platform for single and multi-SLAM robotics, computer vision, and reinforcement learning. Affordable robots are becoming necessary when expanding from single to multi-robot applications, as the cost can increase exponentially as fleet size increases. SLAM is essential for a robot to perceive and localize within its environment to perform applications such as cave exploration, disaster assistance, and remote inspection. For improved efficiency, a fleet of robots can be employed to combine maps for multi-robot SLAM. Squeaky is an affordable quadrupedal robot, designed to have easily adaptable hardware and software, capable of creating a merged map under a shared network from multiple robots, and available open-source for the benefit of the research community.
@article{arxiv.2410.00122,
title = {Additively Manufactured Open-Source Quadruped Robots for Multi-Robot SLAM Applications},
author = {Zachary Fuge and Benjamin Beiter and Alexander Leonessa},
journal= {arXiv preprint arXiv:2410.00122},
year = {2024}
}