Andrew Philippides
Papers
29
Total Citations
463
H-Index
13
About
Andrew Philippides is a computational neuroscientist and roboticist at the University of Sussex whose research sits at the fascinating intersection of insect neuroscience, visual navigation, and adaptive robotics. His most influential work focuses on understanding how insects — particularly ants — navigate complex environments using visual memory, and translating these biological principles into robust robotic systems. His 2011 paper on holistic visual encoding of ant routes (88 citations) proposed an elegant, parsimonious mechanism explaining how insects learn and recall visually guided paths without relying on discrete waypoints, a genuinely transformative contribution to the field. This was complemented by earlier work on linked local navigation (51 citations) and later by real-world implementation of insect-inspired algorithms aboard autonomous robots. Philippides has also explored the neural underpinnings of navigation, investigating spiking neural network models of insect mushroom bodies and the role of GasNets in evolvable robot controllers. His group's contributions to evolutionary and bio-inspired robotics, summarised in a widely read 2021 review (36 citations), demonstrate a commitment to understanding embodied dynamics. More recently, his portfolio has expanded into kinematically redundant parallel robot manipulators, reflecting a broad engineering curiosity that enriches his interdisciplinary research programme.
Research Focus
Key Achievements
Top Papers
- 1Holistic visual encoding of ant-like routes: Navigation without waypoints88 citations · 2011
- 2Linked Local Navigation for Visual Route Guidance51 citations · 2007
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- 8Neutrality and ruggedness in robot landscapes22 citations · 2003
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