Patrick Rocke
Papers
2
Total Citations
19
H-Index
2
About
Patrick Rocke is a pioneer in the field of bio-inspired hardware and adaptive robotics, with a focused expertise in reconfigurable analogue systems and spiking neural networks (SNNs). His major contributions lie in the hardware evolution of adaptive SNN controllers, where he demonstrated how cascaded Field Programmable Analogue Arrays (FPAAs) can be used to implement fixed-architecture, feed-forward neural networks trained by genetic algorithms. This work, detailed in his most-cited paper (2007, 12 citations) and its follow-up (2008, 7 citations), provided a foundational platform for creating low-power, real-time robotic controllers capable of tasks like obstacle avoidance. By bridging the gap between neural computation and reconfigurable hardware, Rocke’s research has influenced the development of autonomous systems that learn and adapt directly in hardware. His achievements showcase a unique blend of evolutionary computation and analogue circuit design, offering a compelling path toward more efficient, brain-inspired robotics.
Research Focus
Key Achievements
Top Papers
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