Rob Ellis

Papers

Total Citations

H-Index

About

Rob Ellis is a researcher at the intersection of cognitive science and robotics, whose work explores how principles of embodied cognition can inform the design of intelligent robotic systems. His primary research areas include cognitive robotics, object manipulation, and bio-inspired architectures for memory and action. Ellis’s most notable contribution is his 2009 paper, "A cognitive robotic model of grasping," which presents a psychologically plausible model of object manipulation grounded in embodied cognition theories. This work demonstrates how vision, action, and semantic systems integrate to enable robots to grasp objects in a human-like manner, earning 8 citations and laying a foundation for further exploration in the field. He has also advanced the development of short-term memory systems for humanoid robots, as seen in his 2012 paper, which proposes a bio-inspired cognitive architecture. While his citation counts are modest, Ellis’s research offers valuable insights into bridging cognitive psychology and robotics, making him a thoughtful contributor to the growing dialogue on how human cognitive processes can inspire more adaptive and natural robotic behaviors.