Yuanxiang WANG

Yuanxiang Wang Distinguished Researcher, PhD Supervisor, Deputy Director of the Sino-German Center for Mechanical Engineering


  • Research Areas

      • Embodied Intelligence in Robotics
      Robotic Limb Control
      Human–Robot Hybrid Augmented Intelligence
      Intelligent Operation and Maintenance of Complex Systems


  • Work Experience

      • 2023.11 - Present Tongji University, Distinguished Researcher


  • Education

      • 2017.08 - 2022.08 University of Southern California, PhD
      2015.08 - 2017.05 University of Southern California, Master's Degree


  • Honors and Awards

      • 2025 Second Prize, “Qizhi-2025” Innovation Competition
      2024 Selected for Shanghai's “Science and Technology Innovation Action Plan” Qiming Star Program
      2024 Selected for Shanghai's Magnolia Talent Program – Pujiang Project
      2024 Tongji University Youth May Fourth Medal (Group)
      2024 Tongji University “Excellence” Graduate Advisor Team (Group)
      2022 Selected for Shanghai's Overseas High-Level Talent Recruitment Program
      2021 Best Paper Award, IEEE International Conference on Automation Science and Engineering (CASE)
      2021 INFORMS Bond Foundation Award


  • Publications

      • [18] Qirong Tang, Haoyu Liu, Min Yu, and Yuanxiang Wang*. Parallel Graph Inference for Decentralized and Asynchronous Multi-Robot Cooperative Localization under Limited Connectivity. Robotics and Automation Letters (RA-L), 2026.
      [17] Haoyu Liu, Min Yu, Yuanxiang Wang, Wenkai Zhang, and Qirong Tang*. Explicit Risk-aware belief space planning for underwater active cooperative localization. Ocean Engineering, 346: 123710, 2026.
      [16] Baoping Ma, Yuanxiang Wang, Wenrui Wang, Feng Chen, Hongwei Kan, Qirong Tang*. A Visual-Servoing-Integrated Alignment Method for Prosthetic Hand Manipulation under Constrained Conditions. Robot, 48(2):226-237, 2026.
      [15] Min Yu, Yuanxiang Wang, and Qirong Tang*. Reactive motion planning for dynamic capture of UVMS considering manipulability transfer. Ocean Engineering, 342(4): 123074, 2025.
      [14] Baoping MA, Yuanxiang Wang, Wenrui WANG, Feng CHEN, Hongwei KAN and Qirong Tang*. MGL4GQR: Multi-Gait Locomotion of Guided Quadruped Robot Via Teacher-Student Learning. The 2024 IEEE International Conference on Robotics and Biomimetics (ROBIO), December 10–14, 2024, Bangkok, Thailand, pp. 1532-1537.
      [13] Xiaotian Li, Feng Chen, Yuanxiang Wang, Baoping Ma, and Qirong Tang*. Obstacle Avoidance for Guided Quadruped Robots in Complex Environments. IEEE 17th International Conference on Intelligent Robotics and Applications (ICIRA), July 31–August 2, 2024, Xi'an, China.
      [12] Xiaotian Li, Hongwei Kan, Yuanxiang Wang, Baoping Ma, and Qirong Tang*. Multi-sensor Fusion Localization and Terrain Reconstruction for Guided Quadruped Robots. IEEE 17th International Conference on Intelligent Robotics and Applications (ICIRA), July 31–August 2, 2024, Xi'an, China.
      [11] Bingzheng Wang, Yuanzhe Cui, Yuanxiang Wang, and Qirong Tang*. An Automatic Weighting Decision-making Framework for Trajectory Tracking of the Overactuated UAVs Platform. IEEE 17th International Conference on Intelligent Robotics and Applications (ICIRA), July 31–August 2, 2024, Xi'an, China.
      [10] Weizhi Lin, Yuanxiang Wang, and Qiang Huang*. Finite Manufacturing Primitives: A Representation Scheme for Additive Manufacturing Quality Assurance. CIRP Annals – Manufacturing Technology, 73(1): 97-100, 2024.
      [9] Weizhi Lin, Yuanxiang Wang, and Qiang Huang*. Automated Printing Primitive Extraction and Learning for Complexity Reduction in Additive Manufacturing Operations. IEEE 20th International Conference on Automation Science and Engineering (CASE), August 28–September 1, 2024, Bari, Italy.
      [8] Yuanxiang Wang, Cesar Ruiz, and Qiang Huang*. Learning and Predicting Shape Deviations of Smooth and Non-Smooth 3D Geometries Through Mathematical Decomposition of Additive Manufacturing. IEEE Transactions on Automation Science and Engineering, 20(3): 1527-1538, 2023.
      [7] Yuanxiang Wang and Qiang Huang*. Small-Sample Learning of 3D Printed Thin-Wall Structures Using Printing Primitives. IEEE 18th International Conference on Automation Science and Engineering (CASE), August 20–24, 2022, Mexico City, Mexico.
      [6] Yuanxiang Wang, Cesar Ruiz, Sanglok Park, Kyeong-Ho Shin, Joo-Hyung Kim, and Qiang Huang*. A Shape Registration Methodology for Geometric Deviation Correction in Additive Manufacturing. ASME Manufacturing Science and Engineering Conference (MSEC), June 27–July 1, 2022, West Lafayette, Indiana, USA.
      [5] Nathan Decker*, Mingdong Lyu, Yuanxiang Wang, and Qiang Huang. Geometric Accuracy Prediction and Improvement for Additive Manufacturing Using Triangular Mesh Shape Data. ASME Transactions, Journal of Manufacturing Science and Engineering, 143(6): 061006, 2021.
      [4] Anne-Francoise Obaton*, Yuanxiang Wang, Bryan Butsch, and Qiang Huang. A Non-Destructive Resonant Acoustic Testing and Defect Classification of Additively Manufactured Lattice Structures. Welding in the World, 65(3): 361-371, 2021.
      [3] Yuanxiang Wang, Cesar Ruiz, and Qiang Huang*. Extended Fabrication-Aware Convolution Learning Framework for Predicting 3-D Shape Deformation in Additive Manufacturing. IEEE 17th International Conference on Automation Science and Engineering (CASE), August 23–27, 2021, Lyon, France. (Best Conference Paper Award)
      [2] Nathan Decker*, Yuanxiang Wang, and Qiang Huang. Efficiently Registering Scan Point Clouds of 3D Printed Parts for Shape Accuracy Assessment and Modeling. Journal of Manufacturing Systems, 56: 587-597, 2020.
      [1] Qiang Huang*, Yuanxiang Wang, Mingdong Lyu, and Weizhi Lin. Shape Deviation Generator - A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy. IEEE Transactions on Automation Science and Engineering, 17(3): 1486-1500, 2020.