Atombot: Swarm Robotics and Collective Intelligence – UROP Spring Symposium 2025

Atombot: Swarm Robotics and Collective Intelligence

Cameron Jones

Research Mentor(s): Y Z
Mentor Department: NERS, EECS, MSE, ROB, AP
Authors: Cameron Jones
Session: Session 7 (4:00pm – 4: 50pm)
Presentation Type: Poster 17

Abstract

Robotics research is addressing critical challenges in navigation and human-robot interaction to optimize how robots serve human needs while minimizing potential negative effects, such as harm from malfunctioning systems and the uncanny visual appeal of robots. This project aims to design and build a four-wheeled, legged robot optimized for search-and-rescue missions, capable of navigating complex environments and performing tasks like turning, stair climbing, and bidirectional movement. Expanding on existing knowledge of robot navigation and interaction, this work seeks to improve robotic designs and functionality. Methodologies include iterative testing and parameter optimization to identify configurations yielding the best performance. Preliminary results suggest that advancements in robot design and capabilities are not only achievable but also impactful for enhancing robotic applications in critical missions. These findings underscore the potential of robotic technology to support human success in high-stakes environments, benefiting robotics companies, research labs, and society as a whole.

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