Papers
6
Total Citations
210
H-Index
6
About
Ian Gilhespy is a researcher at the forefront of neuromorphic engineering and biologically inspired robotics, with a career defined by bridging the gap between biological neural systems and real-time hardware implementation. His most influential work, the 2007 paper "Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications," has garnered 128 citations and established a foundational FPGA-based architecture for modeling large networks of leaky-integrate-and-fire neurons using fixed-point arithmetic. This contribution enabled practical, real-time neural processing for control systems. Gilhespy’s impact extends to biomimetic robotics, notably through the DIVEBOT project (27 citations), which introduced a whale-like buoyancy mechanism for underwater exploration. He has also made significant strides in tactile sensing, developing artificial whisker systems modeled on rodent facial vibrissae for haptic feedback and texture discrimination. His work on a biomimetic haptic sensor (18 citations) and subsequent neuromorphic tactile systems demonstrates a consistent commitment to translating biological principles into hardware. Through these innovations, Gilhespy has advanced the fields of neural network processing, underwater robotics, and sensory systems, leaving a lasting mark on real-time, biologically plausible computing.
Research Focus
Key Achievements
Top Papers
- 1
- 2DIVEBOT: A diving robot with a whale-like buoyancy mechanism27 citations · 2003
- 3A Real-Time, FPGA Based, Biologically Plausible Neural Network Processor20 citations · 2005
- 4A Biomimetic Haptic Sensor18 citations · 2005
- 5
- 6