Craig Eldershaw

Palo Alto Research Center, University of Oxford

Papers

15

Total Citations

720

H-Index

10

About

Craig Eldershaw is a pioneering researcher in modular reconfigurable robotics, with a primary focus on chain-type modular systems and their applications in space and unstructured environments. His most influential work centers on the PolyBot platform, where he made foundational contributions to self-reconfiguration, locomotion gaits, and scalable robotic architectures. Eldershaw’s 2003 paper on modular robots for space applications has garnered 264 citations, while his 2002 study on chain self-reconfiguration with PolyBot has been cited 211 times, underscoring their lasting impact. He introduced the concept of phase automata—a formal programming model for locomotion gaits in chain-type modular robots—enabling scalable control of hundreds of modules. His work also extends to motion planning for legged vehicles in cluttered terrain and sensor-based tracking and mapping systems using wireless sensor networks. Notably, Eldershaw contributed to the development of PolyBot as an educational platform, demonstrating the versatility of modular robotics beyond research. His achievements include advancing the mechanical, electronic, and software scalability of reconfigurable systems, with over 650 total citations across his top publications.

Research Focus

Key Achievements

10
H-Index
15
Papers
720
Total Citations
48
Avg Citations/Paper
🏆 Most Cited Paper
Modular Reconfigurable Robots in Space Applications
264 citations · 2003
📈 Most Prolific Year: 2004 (5 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Palo Alto Research Center, University of Oxford

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago