Papers
1
Total Citations
12
H-Index
1
About
Neal McKee is a leading researcher in bio-inspired robotics and swarm intelligence, with a focus on developing robust, decentralized systems for collective movement. His most cited work, "Purely vision-based collective movement of robots" (2025, 12 citations), addresses a critical vulnerability in robot swarms: the reliance on global information or explicit communication. By demonstrating how robots can coordinate movement using only local visual cues—mimicking the sensory strategies of animal groups—McKee eliminates the weaknesses introduced by communication-dependent architectures. This contribution advances the field toward truly autonomous, resilient swarms capable of operating in GPS-denied or communication-limited environments. McKee’s research bridges biology and engineering, offering scalable solutions for applications in exploration, environmental monitoring, and disaster response. His work is increasingly recognized for its practical implications, with his top-cited paper already shaping subsequent studies on vision-based coordination. McKee’s dedication to bio-inspired design positions him as a rising authority in swarm robotics, inspiring new approaches to collective behavior that prioritize simplicity and robustness.
Research Focus
Key Achievements
Top Papers
- 1Purely vision-based collective movement of robots12 citations · 2025