Tobias E. Niebur
Papers
1
Total Citations
9
H-Index
1
About
Tobias E. Niebur is a pioneering researcher at the intersection of neuromorphic engineering and autonomous systems. His work centers on developing biologically inspired computing architectures that mimic the brain’s efficiency, particularly through event-driven vision and spike-based processing. His most impactful contribution is the 2017 paper on a neuromorphic self-driving robot, which integrates a retinomorphic vision sensor—the Asynchronous Time-based Image Sensor (ATIS)—with IBM’s TrueNorth neurosynaptic processor. This system demonstrates closed-loop control using only spike-based computation, bypassing traditional frame-based methods to achieve ultra-low-power, real-time navigation. With 9 citations, this work has influenced the growing field of neuromorphic robotics, showcasing how brain-like hardware can enable autonomous agents to perceive and act with minimal energy. Niebur’s research bridges computational neuroscience and practical robotics, offering a blueprint for next-generation intelligent machines that learn and react like living organisms. His achievements highlight the potential of neuromorphic systems to revolutionize autonomous driving, edge computing, and beyond.
Research Focus
Key Achievements
Top Papers
- 1