Xiangcheng Chen

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About

Xiangcheng Chen is a pioneering researcher in the field of robotic tactile sensing, with a focus on high-speed, event-driven perception for dexterous manipulation. His most notable contribution is the development of **GelEvent**, a novel tactile sensor that integrates an event camera to achieve rapid, low-latency detection of contact status and force. This work, published in 2025 and already garnering 6 citations, addresses a critical bottleneck in robotic end effectors: the inability to quickly and precisely model contact interactions. By leveraging event-based vision, Chen’s sensor enables robots to respond to dynamic tactile changes in real time, surpassing the limitations of traditional frame-based sensors. His research bridges the gap between tactile sensing and high-speed control, paving the way for more fluid and adaptive robotic manipulation in tasks like grasping and assembly. Chen’s work is particularly impactful for students and researchers in robotics, haptics, and computer vision, offering a tangible solution to the challenge of rapid contact perception. With his innovative approach, Chen is shaping the future of tactile sensing, where speed and precision converge to unlock new levels of robotic dexterity.