Lewis Fishgold
Papers
2
Total Citations
19
H-Index
2
About
Lewis Fishgold is a pioneering researcher in developmental robotics and sensorimotor learning, with a focus on how autonomous systems can discover their own perceptual capabilities. His work fundamentally challenges traditional approaches to robot calibration, arguing that machines should learn the structure of their sensors through active exploration rather than relying on manual specification. In his highly influential 2009 paper "Sensor Map Discovery for Developing Robots" (12 citations), Fishgold demonstrated how mobile robots can autonomously determine the geometry and behavior of their camera, laser, and sonar sensors through interaction with their environment. His equally notable work "Learning the Sensorimotor Structure of the Foveated Retina" (7 citations) draws inspiration from human vision, showing how a robot can simultaneously learn the receptive field structure of a foveated retina and develop a saccade policy to center attention on salient points. This biologically-grounded approach bridges robotics and cognitive science, offering a path toward more adaptive, self-calibrating machines. Fishgold's contributions are particularly valued by researchers working on embodied cognition and developmental learning systems.
Research Focus
Key Achievements
Top Papers
- 1Sensor Map Discovery for Developing Robots12 citations · 2009
- 2Learning the Sensorimotor Structure of the Foveated Retina7 citations · 2009