Philippe O. Pouliquen
Papers
1
Total Citations
9
H-Index
1
About
Philippe O. Pouliquen is a pioneering researcher in neuromorphic engineering, with a focus on developing brain-inspired sensing and processing systems for autonomous robotics. His major contributions lie at the intersection of retinomorphic vision, spike-based neural computation, and closed-loop control, where he has demonstrated how event-driven sensors and spiking neural networks can enable real-time, low-power robotic autonomy. Notably, his 2017 work on a neuromorphic self-driving robot—integrating the Asynchronous Time-based Image Sensor (ATIS) with IBM’s TrueNorth processor—showcases a complete spike-based pipeline from perception to action, achieving efficient, biologically plausible navigation. This highly cited paper (9 citations) has influenced subsequent research in neuromorphic robotics and edge AI. Pouliquen’s work stands out for its holistic system-level approach, bridging hardware and algorithms to create robots that see and act like living organisms. His achievements highlight the potential of neuromorphic computing for autonomous systems, inspiring students and researchers to explore event-driven architectures for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1