Papers
60
Total Citations
1,346
H-Index
21
About
Martin J. Pearson is a pioneering researcher at the intersection of biomimetic robotics, neuromorphic engineering, and sensory neuroscience, whose work has fundamentally advanced how robots perceive and interact with their physical environments. He is best known for his groundbreaking contributions to robotic whisker sensing systems, drawing inspiration from the rat vibrissal system to develop sophisticated tactile sensors for mobile robots. His landmark Whiskerbot project brought together roboticists, computational neuroscientists, and ethologists to construct a biologically faithful robotic implementation of rodent whisker sensing, earning 87 citations. This work spawned an influential research thread on biomimetic vibrissal sensing (102 citations) and tactile discrimination (79 citations), culminating in novel applications such as touch-based SLAM navigation (48 citations). Pearson has also made significant contributions to neuromorphic hardware, notably an FPGA-based spiking neural network architecture for real-time control that has attracted 128 citations. His research extends to cerebellum-inspired adaptive control algorithms applied to soft robotics actuators, reflecting a consistent philosophy of translating biological neural principles into engineering solutions. Across his career, Pearson's work has garnered over 700 citations, establishing him as a leading authority in biologically inspired robotics and neural computation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Whisking with robots122 citations · 2009
- 3Biomimetic vibrissal sensing for robots102 citations · 2011
- 4
- 5Tactile Discrimination Using Active Whisker Sensors79 citations · 2011
- 6
- 7Tactile SLAM with a biomimetic whiskered robot48 citations · 2012
- 8Adaptive Cancelation of Self-Generated Sensory Signals in a Whisking Robot41 citations · 2010
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