James C. Knight
Papers
7
Total Citations
153
H-Index
6
About
James C. Knight is a computational neuroscientist and roboticist whose work spans artificial intelligence, bio-inspired robotics, and neural modelling. His research career reflects a fascinating intellectual journey — from pioneering work on believable AI agents to cutting-edge investigations into insect-inspired navigation systems. His early contribution, "Robot Improv" (2002, 61 citations), demonstrated a novel approach to creating believable agents by drawing on the principles of improvisational comedy and dramatic acting rather than conventional emotion modelling, earning him lasting recognition in the AI community. Knight's more recent work, based at the University of Sussex, centres on evolutionary and bio-inspired adaptive robotics, with a particular emphasis on how biological neural architectures can inform autonomous robot design. His influential 2021 survey (36 citations) consolidates advances in embodied dynamics and evolutionary approaches to robotics. A defining thread of his current research is insect-inspired visual navigation — leveraging the remarkable navigational abilities of ants and other insects to develop efficient, lightweight algorithms for real-world robot route-following, including spiking neural network models of insect mushroom bodies. With over 150 cumulative citations, Knight's work bridges neuroscience, robotics, and AI in ways that offer genuinely practical and scientifically illuminating outcomes.
Research Focus
Key Achievements
Top Papers
- 1Robot improv: using drama to create believable agents61 citations · 2002
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- 5Insect Inspired View Based Navigation Exploiting Temporal Information12 citations · 2020
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