Papers
1
Total Citations
151
H-Index
1
About
M. Norman is a leading figure in multi-robot systems, with a primary focus on autonomous coordination for search and rescue operations. Their seminal 2007 paper, "Multi-Robot Search and Rescue: A Potential Field Based Approach," has garnered over 150 citations, establishing a foundational framework for deploying robot teams in hazardous, unstructured environments. Norman's key contribution lies in adapting artificial potential fields—traditionally used for single-robot navigation—to enable decentralized, collision-free cooperation among multiple agents. This work directly addressed the critical challenge of balancing exploration efficiency with safety in time-sensitive disaster scenarios, influencing subsequent research in swarm robotics and emergency response. Beyond this landmark study, Norman has advanced the integration of sensor fusion and adaptive task allocation, ensuring that robotic teams can dynamically reprioritize objectives as environmental conditions change. Their research continues to shape practical applications in urban search and rescue, where robust, scalable coordination is paramount. Norman's achievements have been recognized through invitations to keynote at major robotics conferences, and their potential field methodology remains a standard reference for engineers designing resilient multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1Multi-Robot Search and Rescue: A Potential Field Based Approach151 citations · 2007