Hao Wu | 吴浩

I am an incoming Ph.D. student at NUS Grasping and Manipulation Laboratory, advised by Prof. Jianshu Zhou. I obtained bachelor's degree in Mechanical Engineering from Zhejiang University, with honors from Excellence Talent Training Program in 2024. After graduation, I worked as a research assistant in the Robotic Perception and Grasp Lab. Please feel free to contact me if you require any additional information or have further inquiries.

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News

  • [2026/05] Feeling happy to attend Singapore Robotics and Intelligent Systems Symposium and meet new friends.
  • [2026/04] Two manuscripts have been accepted by Robotics: Systems and Science.
  • [2025/12] I am honored to join the Grasping and Manipulation Laboratory as a Ph.D. student at NUS, advised by Prof. Jianshu Zhou.
  • [2025/10] My work on flexible, multimodal haptic perception has been in principle accepted for publication in Nature Communication.
  • [2025/10] I a m collaborating with TorchKernel Robotics to commercialize high degree of freedom dexterous hands.
  • [2025/05] My first-authored research work on SMP-FR has been accepted for publication in Soft Robotics.
  • [2024/06] 🎉 My graduation project on dexterous hand is awarded the honor of Top 10 Graduation Thesis and Outstanding Graduation Thesis Scholarship (Media).
  • [2024/05] 🎉 I am honored to be an outstanding graduate of Zhejiang Province.
  • Publications

  • [1] Haotian Guo*, Hao Wu*, Yanzhe Wang*, Yaoting Xue, Tuck-Whye Wong, Tiefeng Li, and Huixu Dong†. Enabling Tunable Stiffness, Adhesive Grasping, and Interaction-driven Reconfiguration: A Shape-Memory-Polymer-Enhanced Fin-ray Gripper. Soft Robotics, 2025, Accepted.
  • [2] Yanzhe Wang*, Haotian Guo*, Hao Wu*, and Huixu Dong†, FlexiRay: Breaking Planar Limits by Harnessing Large Deformations for Flexible, Full-Coverage, Human-like Multimodal Haptic Perception. Nature Communications, 2025, Accepted.
  • [3] Yanzhe Wang, Wei Yu, Hao Wu, Haotian Guo, Huixu Dong†. SA-DEM: Dexterous Extrinsic Robotic Manipulation of Non-Graspable Objects via Stiffness-Aware Dual-Stage Reinforcement Learning. IEEE Transactions on Automation Science and Engineering, 2025, Accepted.
  • [4] Yanzhe Wang*, Hao Wu*, Ziyi Zheng, and Huixu Dong†. Relaxation-Aware Multimodal Sensing of Soft Gripper Driven by Structure-Perception-Learning. Robotics: Science and Systems, 2026, Oral, Accepted.
  • [5] Ziyi Zheng, Keqi Zhu, Hao Wu, Yanzhe Wang, and Huixu Dong†. Active Surface-Driven Reconfigurable Gripper: Robust Grasping and Sequential Manipulation of Thin Objects. Robotics: Science and Systems, 2026, Oral, Accepted.
  • [6] Huang Junda, Honghao Guo, Hao Wu, Yitong Li, Zhengyang Liu, Marcelo H Ang Jr, Jianshu Zhou†. HandCept: A Visual-Inertial Fusion Framework for Accurate Proprioception in Dexterous Hands. ICCA, 2026, Oral, Accepted
  • [7] Shuhan Li*, Lei Li*, Hao Wu, Yu Feng, Wenjie Li, Wen Jung Li, Masayoshi Tomizuka, Jianshu Zhou†. Fast, sensitive, and interpretable tactile sensing by structural encoding and iontronic amplification. IEEE/ASME Transactions on Mechatronics, 2026, Under Review.
  • [8] Hao Wu*, Yanzhe Wang*, Yu Feng, Jian Liu, Jihao Li, Jianshu Zhou, and Huixu Dong†. DexLink Hand: A Compact, Affordable, 16-DOF Linkage-Driven Hand with Human-Like Dexterity. ICRA, 2026, Under Review
  • [9] Hao Wu*, Yanzhe Wang, Yu Feng, Yitong Li, Jingxiang Guo, Jian Liu, and Jianshu Zhou†. SyLink Hand: A Synergy-Inspired Linkage-Driven Anthropomorphic Hand for Human-Like Dexterity. Robotics and Autonomous Systems, 2026, Under Review.
  • [10] Hao Wu*, Haotian Guo*, Yu Feng, Yutong Wang, Yanzhe Wang, Jianshu Zhou†. SpectraTac: A Compact Camera-Free Optical Tactile Sensor with Distributed Color Sensing, IEEE-EPIC, 2026, Under Review.
  • [11] Yu Feng, Hao Wu, Yuzhe Wang, and Jianshu Zhou†. LARC: Lazy Adaptive Reachability Certification of Robot Manipulator Trajectories, IEEE-EPIC, 2026, Under Review.
  • [12] Yu Feng*, Hao Wu*, Jian Liu, Jingxiang Guo, Yitong Li, Xinge Yu†, Wen Jung Li†, and Jianshu Zhou†. Optical-Transduction Tactile Sensors: Materials, Mechanisms, and Applications. In Preparing.

  • Experience
    Zhejiang University (ZJU)
    2020.9 - 2024.6
    Bachelor of Mechanical Engineering, Excellent Talent Training Program
    Overall GPA : 3.98/4 (89.93/100)
    Advisor: Prof. Yicong Gao, Prof. JiangXin Yang
    Nanyang Technological University
    2023.07 - 2023.09
    Summer Research Intern
    Research Advisor: Prof. K Jimmy Hsia, Dr. Changhong LINGHU
    Robotic Perception and Grasp Lab, Zhejiang University
    2024.08 - 2025.12
    Research Assistant
    Research Advisor: Prof. Huixu Dong,
    TorchKernel Robotics & Cloud Squirrel Robotics
    2026.01 - 2026.07
    Structural Engineer & Algorithm Engineer
    Grasping and Manipulation Laboratory, National University of Signapore
    2026.08 - 2030.05
    Doctor of Philosophy in Mechanical Engineering
    Research Advisor: Prof. Jianshu zhou,
    University of Hong Kong
    2021.08
    Visiting Student

    Selected Awards and Honors

  • 2026: NUS Research Scholarship & Hong Kong Phd Fellowship Scheme
  • 2024: Outstanding Graduates of Zhejiang Province (Top 5%)
  • 2024: Outstanding Graduates of Zhejiang University
  • 2024: Top10 Graduation Thesis, ME, Zhejiang University
  • 2024: Certificate of Excellence Talent Training Program
  • 2024: Bronze Award of National Graduation Design Competition (24/1139)
  • 2024: Outstanding Graduation Thesis Scholarship
  • 2023,2024: Scholarship for Excellence Talent Training Program (Honor Class)
  • 2023: Zhejiang Provincial Government Scholarship
  • 2021-2023: First Prize in the National Collegiate Mathematics Competition
  • 2021-2023: Merit Student of Zhejiang University
  • 2023: Excellence Award in the National College Student Mechanics Competition
  • 2021,2023: Second-Class Scholarship for Outstanding Students of Zhejiang University
  • 2022: Bronze Award in the National College Students Innovation and Entrepreneurship Competition
  • 2022: Second Prize in the National College Students Smart Car Competition
  • 2022: Second Prize in the National College Students Mechanical Innovation Design Competition
  • 2022: Honor Prize in the Mathematical Contest in Modeling
  • 2022: China Nuclear Power Second-Class Scholarship
  • 2022: Third-Class Scholarship for Outstanding Students of Zhejiang University
  • 2022: First Prize in Zhejiang University Student Intelligent Robot Creativity Competition

  • Skills

  • Expert at Mechanics Modeling, Finite Element Analysis
  • Experienced in Hands-on Assembly, Functional Validation, and Structural Optimization of Hardware
  • Highly proficient in the Fabrication and Characterization of Soft Materials
  • Comprehensive knowledge of PCB Manufacturing and MCU Controlling
  • Programming ability with Python, C/C++
  • Good at MATLAB, SOLIDWORKS, ANSYS, Altium Designer, AutoCAD, Arduino, Keil, and ROS

  • Last updated: August.1, 2025
    © 2024 Hao Wu