Christos Sapsanis
Papers
1
Total Citations
9
H-Index
1
About
Christos Sapsanis is a researcher at the forefront of neuromorphic engineering, specializing in spike-based processing, retinomorphic vision, and closed-loop robotic control. His most notable contribution is the development of a neuromorphic self-driving robot that integrates an Asynchronous Time-based Image Sensor (ATIS) for visual sensing with IBM’s TrueNorth processor for spike-based computation. This pioneering work demonstrates how biologically inspired, event-driven systems can enable real-time autonomous navigation without relying on conventional frame-based cameras or deep learning accelerators. The robot’s ability to process sensory data asynchronously and control its movements in a closed loop represents a significant step toward energy-efficient, low-latency autonomous systems. With 9 citations, this 2017 paper has influenced subsequent research in neuromorphic robotics and edge computing. Sapsanis’s work bridges computational neuroscience and practical robotics, offering a compelling proof-of-concept for spike-based perception and control in real-world environments. His contributions are particularly relevant for researchers exploring alternative computing paradigms for autonomous systems, where power efficiency and real-time responsiveness are critical.
Research Focus
Key Achievements
Top Papers
- 1