Papers
3
Total Citations
247
H-Index
3
About
James Sharpe is a leading researcher in swarm robotics and morphogenetic engineering, drawing inspiration from biological development to design self-organizing robot collectives. His core research explores how local interactions and simple rules can produce complex, functional group behaviors—a concept known as morphogenesis. Sharpe’s most influential work, “Morphogenesis in robot swarms” (2018), has garnered over 200 citations and demonstrates how principles from embryonic development can be applied to create scalable, robust structures in robot swarms. He further advanced this field with “Toward Controllable Morphogenesis in Large Robot Swarms” (2019), addressing the critical challenge of directing these self-organized systems for real-world applications. To accelerate research, Sharpe also developed Kilombo, a high-fidelity simulator for the Kilobot platform, enabling faster testing and hypothesis generation. His contributions bridge biology and engineering, offering a powerful framework for designing resilient, decentralized robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Morphogenesis in robot swarms206 citations · 2018
- 2Toward Controllable Morphogenesis in Large Robot Swarms23 citations · 2019
- 3Kilombo: a Kilobot simulator to enable effective research in swarm robotics18 citations · 2015