David Randell
Papers
4
Total Citations
14
H-Index
3
About
David Randell’s research lies at the intersection of cognitive robotics, artificial perception, and spatio-temporal reasoning, with a particular focus on abductive reasoning and the Event Calculus. His most influential work, “Ordering Spatio-Temporal Sequences to Meet Transition Constraints: Complexity and Framework” (2015, 4 citations), provides a formal framework for understanding complex temporal ordering problems. Randell’s groundbreaking contributions include developing a model of modes of attention and inattention for artificial perception (2007, 4 citations), which links natural visual awareness to foveated vision systems and formalizes abductive perception for robot perceptual systems. His foundational paper “Cognitive Robotics: On the Semantic Knife-edge” (2001, 3 citations) describes pioneering work at Imperial College’s Department of Electrical and Electronic Engineering, applying abductive reasoning procedures to cognitive robotics. Additionally, his work on “Abductive visual perception with feature clouds” (2006, 3 citations) introduces a logical approach to embodied perception, using feature clouds to encode 3D descriptions of complex bodies. Randell’s research has been instrumental in bridging formal logic with practical robotics, advancing how artificial systems perceive and reason about their environment.
Research Focus
Key Achievements
Top Papers
- 1
- 2A model of modes of attention and inattention for artificial perception4 citations · 2007
- 3Cognitive Robotics: On the Semantic Knife-edge3 citations · 2001
- 4Abductive visual perception with feature clouds3 citations · 2006