Julien Martel

Technical University of Munich, SIB Swiss Institute of Bioinformatics

Papers

Total Citations

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About

Julien Martel is a leading researcher at the intersection of neuromorphic computing, robotics, and computer vision, with a focus on building efficient, biologically-inspired systems for autonomous agents. His work pioneers the use of spiking neural networks (SNNs) and mixed-signal neuromorphic processors to solve core robotics challenges. Martel’s most influential contribution is a neuromorphic approach to path integration and SLAM, where he developed a head-direction spiking neural network with vision-driven reset—a low-power solution for simultaneous localization and mapping that has garnered 37 citations. He also advanced depth estimation with a real-time depth-from-focus system on a programmable focal plane processor, achieving 27 citations for its compact, passive, and static imaging design. More recently, Martel demonstrated adaptive motor control and learning in an SNN realized on a mixed-signal neuromorphic processor, showcasing the potential for efficient, event-driven neural architectures in robotics. His work is notable for bridging theoretical neuroscience with practical, low-power hardware implementations, making him a key figure in the push toward energy-efficient autonomous systems.