Papers
3
Total Citations
38
H-Index
3
About
Richard May is a pioneering researcher at the intersection of robotics, autonomous systems, and artificial intelligence safety. His primary research areas include multi-robot coordination, autonomous vehicle extraction, and AI incident analysis. May’s most significant contribution is the development of the AVERT system, an innovative multi-robot platform that can autonomously extract and transport vehicles from confined spaces using a novel “a-robot-for-a-wheel” concept. This work, published in 2015 and cited 27 times, demonstrated a practical solution for delicate, omnidirectional vehicle maneuvering with potential applications in emergency response and counter-terrorism operations. His related work on the Autonomous Vehicle Emergency Recovery Tool further explored cooperative robotic systems for car extraction in high-risk scenarios. More recently, May has shifted focus to the critical analysis of AI safety and security, co-authoring a 2024 Systematization of Knowledge paper examining how artificial intelligence incidents can jeopardize both safety and security. This work, already garnering 5 citations, addresses the growing risks associated with highly-automated systems like self-driving vehicles. May’s research bridges practical robotic applications with pressing concerns about AI reliability, making his work relevant for both engineers and policymakers.
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