Yukun Ge

Dyson (United Kingdom), Imperial College London

Papers

Total Citations

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About

Yukun Ge is a pioneering researcher at the intersection of bio-inspired robotics, tactile perception, and embodied intelligence. Their work centers on developing novel sensing and control architectures that enable robots to perceive and interact with complex, unstructured environments. Ge’s most influential contribution is a comprehensive review on whisker sensors for robot environment perception, which has garnered 16 citations since 2024. This work systematically analyzes how nocturnal mammals like rats use whisker-based tactile perception for navigation and object identification, drawing direct parallels to engineering robust, low-cost tactile sensors for robotics. By cataloging the diversity in whisker physical structure and neural innervation, Ge provides a foundational framework for the robotics community to design more adaptive and resilient tactile systems. More recently, Ge has introduced a Therblig-Based Backbone for long-horizon robot task understanding, addressing the critical challenge of poor generalization in end-to-end learning. This work proposes a modular, hierarchical approach to decompose complex tasks, offering a promising path toward more predictable and generalizable robot behavior. Additionally, Ge explores soft robotics as a platform for understanding embodied intelligence, bridging biological principles with engineering design. Their research is shaping the future of autonomous systems capable of nuanced, tactile-rich interaction with the world.