David Rollinson
Papers
19
Total Citations
912
H-Index
14
About
David Rollinson is a leading roboticist whose work has fundamentally advanced the design and control of highly articulated, snake-like robots. His research focuses on modular robot architecture, series elastic actuation, and the development of robust locomotion strategies for constrained environments. Rollinson’s most significant contribution is the creation of the "Unified Snake" and "SEA Snake" robots, which introduced modular, series-elastic actuators that enable compliant, adaptive motion. These designs have proven critical for navigating complex, unstructured spaces like pipe networks—a feat detailed in his highly cited work on pipe locomotion (103 citations). His development of the "virtual chassis" (38 citations) and gait-based compliant control (54 citations) provides a foundational framework for estimating a robot’s motion and achieving autonomous environmental adaptation without external sensors. With over 700 total citations across his top papers, Rollinson’s innovations have not only set new standards in snake robotics but also demonstrated remarkable versatility, as his modular actuators were successfully reconfigured into a legged robot, "Snake Monster." His work bridges the gap between theoretical motion planning and practical, real-world deployment, making him a pivotal figure in field robotics.
Research Focus
Key Achievements
Top Papers
- 1Design and architecture of the unified modular snake robot257 citations · 2012
- 2Design and architecture of a series elastic snake robot112 citations · 2014
- 3Pipe Network Locomotion with a Snake Robot103 citations · 2014
- 4Gait-based compliant control for snake robots54 citations · 2013
- 5Design and Modeling of a Series Elastic Element for Snake Robots49 citations · 2013
- 6Motion estimation of snake robots in straight pipes48 citations · 2013
- 7Virtual chassis for snake robots38 citations · 2011
- 8
- 9Snakes on a plan: Toward combining planning and control34 citations · 2013
- 10Simplified motion modeling for snake robots32 citations · 2012