Jonah Van Assche
Papers
1
Total Citations
5
H-Index
1
About
Jonah Van Assche is a rising researcher at the forefront of neuromorphic engineering and tactile sensing for robotics. His work centers on developing bio-inspired, power-efficient sensing systems, particularly for high-density electronic skins (e-skins) used in delicate object manipulation. His most-cited paper, "Power-Efficient and Accurate Texture Sensing Using Spiking Readouts for High-Density e-Skins" (2022), introduces a novel approach that replaces conventional frame-based acquisition with spiking neural network readouts. This breakthrough enables fine-grain texture discrimination while dramatically reducing power consumption—a critical advancement for autonomous robots and prosthetics. Though early in his career, Van Assche’s work has already garnered attention (5 citations), signaling its growing impact. By bridging neuroscience and hardware design, he is pioneering the next generation of tactile sensors that mimic the human sense of touch, promising more dexterous and energy-efficient robotic systems for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1