Human U Machine Intelligent Touch (HUMIT) Lab

人机触觉智能实验室

HUMIT Lab engages in multidisciplinary research aiming to advance haptic science and technology
• Explore the information space underlying human touch perception
• Innovate tactile sensing systems that empower intelligent machines with refined touch dexterity
• Design haptic interfaces that seamlessly connect the physical and digital worlds
• Unify humans, cyberspace, and machines via a framework of next-generation haptic technologies
2026.05.24

Dongxu Tang presented as an invited speaker at the Youth Forum of the 5th China Haptic Technology and Application Conference

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2026.01.31

Papar accepted by ICRA 2026, authors: Y. Wu, S. Hou, H. Zheng, Y. Li, W. Lu, X. Zhou, Y. Shao

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2026.01.02

Review papar accepted by Materials & Design, authors: F.Liu, Y.Shao, M.Chen

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2025.06.17

Papar selected as front cover in Adv. Mater. Technol., authors: Y. Shao#, A. Shagan Shomron#, et al.

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Research
Recent Outcomes
Synchronized AMG and EMG Dataset of Lower-limb Muscle Activities in Everyday Training

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.

High-Bandwidth Biomimetic Finger for Tactile-Transparent Remote Texture Sensing

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.

[Under Review]
[ArXiv]
Detection and Ranging of Transient Extrinsic Contacts Based on 6D Dynamic Tactile Sensing

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.

[Under Review]
[ArXiv] [Webpage]
Generative Design Strategies for Additive Manufacturing of Lattice Structures: A Review

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.

Materials & Design
[DOI]
TranTac: Leveraging Transient Tactile Signals for Contact-Rich Robotic Manipulation

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.

ICRA 2026
[ArXiv] [Webpage]
Distributed Contact Sensing Enabled by Vibration Propagation on Robot End-Effector

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.

IROS 2025
[DOI]
VibWalk: Mapping Lower-limb Haptic Experiences of Everyday Walking

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.

Wearable Electrohydraulic Actuation For Salient FullFingertip Haptic Feedback

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.

Adv. Mater. Technol. 2025
[Journal Cover] [DOI]
People
Principal Investigator
Prof. Dr. Yitian Shao

Director of HUMIT Lab

Postdoctoral Researcher
Dr. Fuyuan Liu

Ph.D., University of Liverpool

Ph.D. Student
Yinghao Wu

Ph.D. Student
Siyu Liu

Research Assistant
Yinglei Shih

M.S. Student
Dongxu Tang

M.S. Student
Haowen Zheng

M.S. Student
Jianting Liao

M.S. Student
Zhuoyi Ren

M.S. Student
Jiahui Lin

M.S. Student
Tewelde Teklehaimanot Gebreyesus

M.S. Student
Weiming Hu

M.S. Student
Rui Qiu

M.S. Student
Fatima-Ez-Zahra Enahli

Undergrad. Research Assistant
Shuhong Hou

Undergrad. Research Assistant
Qiwei Wang

Lab Alumni
Research Assistant

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.

Activities
Recruiting Announcement

HUMIT lab is actively seeking talented Ph.D./M.S. students and postdoctoral researchers to join our team.

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Lab Get-togethers