Dongxu Tang presented as an invited speaker at the Youth Forum of the 5th China Haptic Technology and Application Conference
Papar accepted by ICRA 2026, authors: Y. Wu, S. Hou, H. Zheng, Y. Li, W. Lu, X. Zhou, Y. Shao
Papar selected as front cover in Adv. Mater. Technol., authors: Y. Shao#, A. Shagan Shomron#, et al.
D. Tang, Y. Shih, Z. Ren, J. Liao, Y. Shao
We release a synchronized lower-limb dataset featuring 16 acceleromyography sensors across four muscle clusters, four surface electromyography channels, and optical motion-capture tracking of lower-body kinematics, providing a robust multimodal foundation for analyzing muscle activity and movement mechanics.
S. Yang, F. Liu, Y. Shao
We assess the impact of biomimetic robotic finger designs on teleoperation by evaluating spectral characteristics of tactile feedback and the corresponding tactile transparency, under diverse material and contact conditions.
H. Zheng, Y. Wu, F. Liu, Y. Li, Y. Shao
We propose TECDAR, a simple yet fast and efficient method for detecting and ranging extrinsic contact of grasped objects, which enables a robot to rectify its trajectory on a millisecond scale, facilitating precise tool manipulation and enhanced perception of complex environments purely through tactile exploration and mapping.
F.Liu, Y.Shao, M.Chen
This review integrates geometry generation, performance evaluation, and optimization into a unified multi-scale workflow and highlights two complementary directions of generative design for additive manufacturing: physical model-based and data-driven methods.
Y. Wu, S. Hou, H. Zheng, Y. Li, W. Lu, X. Zhou, Y. Shao
We introduce a data-efficient and low-cost tactile sensing and control framework that integrates a single contact-sensitive sensor within the elastomeric tips of a robotic gripper for completing fine insertion tasks.
W. Tan, Y. Shao
We present a tactile sensing method that employs a single accelerometer to localize contact and estimate force across a wide surface area, enabling more delicate robotic manipulation while reducing hardware costs, system complexity, and sensing data requirements.
Y. Shih, D. Tang, W. Hu, S. H. Yoon, Y. Shao
We propose a foot wearable system that records wideband vibration signals during everyday walking, enabling location-based mapping of haptic data related to ground materials, limb activity, and road conditions.
Y.Shao*, A. ShaganShomron*, B. Javot, C.Keplinger#, K.J.Kuchenbecker#
We introduce a wearable electrohydraulic haptic system that delivers salient full-fingertip feedback via a thin inflatable chamber actuated by a soft pump. The lightweight, untethered design allows natural hand motion while producing lifelike pressure levels and skin deformation, enhancing immersion in extended reality applications.
Director of HUMIT Lab
Ph.D., University of Liverpool
Shuang Yang (Graduate Research Assistant). Current: Ph.D. student at Korea University.
Yichen Li ('25 Undergrad. Research Assistant). Current: M.S. student at STJU.
Ying Zhang ('25 Research Assistant). Current: Ph.D. student at CityUHK.
Jingru Wang ('25 Undergrad. Research Assistant). Current: M.S. student at EPFL.
HUMIT lab is actively seeking talented Ph.D./M.S. students and postdoctoral researchers to join our team.
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