Yushu Yu | 俞玉树

Dr. Yushu Yu is an Associate Professor with the School of Mechatronical Engineering at the Beijing Institute of Technology. He was a Research Fellow at Nanyang Technological University, Singapore, and at Chalmers University of Technology, Sweden, where he worked on control for aerial systems and autonomous driving. Yushu received his Ph.D. and B.Eng. degrees in Mechanical Engineering from Beihang University, China. He has published more than 70 journal and conference papers, including IEEE TRO, ITS, TMech, RAL, MMT, and ICRA. He is the recipient of several best conference paper awards and the Excellent Ph.D. Dissertation Award of Beihang University. He currently serves as an Associate Editor for IEEE TRO and ICRA, the flagship journal and conference in the robotics community. He has also developed a variety of aerial robotic systems with applications in infrastructure inspection and surveillance.

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Research

Dr. Yu’s long-term research goal is to achieve embodied intelligence for unmanned aerial systems, particularly for physical interaction. His research focuses on control, perception, and learning for aerial robots, particularly in scenarios involving physical interaction, multi-vehicle cooperation, and complex environments. He is passionate about robotics, unmanned aerial vehicles, and embodied AI. His interests also include optimization-based control, multimodal perception, and their integration into full-stack aerial autonomy. He enjoys building flying platforms, testing algorithms in real-world environments, and exploring new forms of aerial physical interaction.

Prospective students and post-doc researchers

We are always looking for candidates with strong self-motivation, a solid interest in aerial robotic systems, and a passion for combining artificial intelligence with real-world robotics. Prospective students and postdoctoral researchers will have opportunities to work on cutting-edge topics in embodied intelligence for aerial robots.

For prospective students: If you are interested in joining our group as a Master’s student, Ph.D. student, or internship student, please feel free to contact me with your CV and a brief description of your background and research interests.

For post-doc researchers: We welcome applicants with expertise in robotics, control, machine learning, or related areas. Please email me to discuss available opportunities.

Recent News
  • Oct 2025 We organized the IROS 2025 Workshop on Advancements in Aerial Physical Interaction : https://sites.google.com/view/iros2025-aerialrobot-workshop/home
  • Sep 2025 I was invited to serve as an Associate Editor (AE) for IEEE Transactions on Robotics.
  • Sep 2025 Our paper “NMPC-Based Trajectory Optimization and Hierarchical Control of a Ducted Fan Flying Robot with a Robotic Arm” was accepted by Drones.
  • Sep 2025 Our paper “Real-Time Human–Drone Interaction via Active Multimodal Gesture Recognition under Limited Field of View in Indoor Environments” was accepted by IEEE Robotics and Automation Letters.
  • August 2025 Our paper “Optimal Design of Integrated Aerial Platforms with Passive Joints” was accepted by IEEE Robotics and Automation Letters.
  • August 2025 Our paper “Incremental Nonlinear Model Predictive Control for Aircraft Attitude Tracking” was accepted by Journal of Aerospace Engineering.
  • August 2025 Our paper “Differential Flatness-Based Singularity-Free Control of a Class of 5-DOF Aerial Platforms with Applications to Passively Articulated Dual-UAV Systems” was accepted by Drones.
  • July 2025 Our paper “Tight Fusion of Odometry, Kinematic Constraints, and UWB Ranging Systems for State Estimation of Integrated Aerial Platforms” was accepted by IEEE Transactions on Automation Science and Engineering.
  • June 2025 Our paper “Variable Admittance Control via Reinforcement Learning: Enhancing UAV Interactions Across Diverse Platforms” was accepted by Neurocomputing.
  • May 2025 Our paper “Versatile Tasks on Integrated Aerial Platforms Using Only Onboard Sensors: Control, Estimation, and Validation” was accepted by IEEE Transactions on Robotics.
  • April 2025 Our paper “High-Fidelity Integrated Aerial Platform Simulation for Control, Perception, and Learning” was accepted by IEEE Transactions on Automation Science and Engineering.
  • Febrary 2025 Our paper “Efficiently Kinematic-Constraint-Coupled State Estimation for Integrated Aerial Platforms in GPS-Denied Environments” was accepted by IEEE Robotics and Automation Letters.
Experience
  • Associate Professor, Beijing Institute of Technology (BIT), China, 2019 - Present
  • Postdoctoral Researcher, Chalmers University of Technology, Sweden, 2017 - 2019
  • Postdoctoral Researcher, Nanyang Technological University, Singapore, 2016 - 2017
  • Postdoctoral Researcher, Beihang University, China, 2014 - 2016
  • Engineer, Beijing Institute of Mechanical Equipment, 2013-2014
Education
  • Ph.D. , Beihang University, China, 2010-2013
  • M.S. , Beihang University, China, 2007 - 2010
  • Bachelor, Beihang University, China, 2003 - 2007
Academic Service
  • Organizer, IROS workshop on Advancements in Aerial Physical Interaction
  • Associate Editor, IEEE Transactions on Robotics, 2026 -
  • Youth Editorial Board Member, Chinese Journal of Mechanical Engieering, 2024 -
  • Associate Editor, International Journal of Control, Automation and Systems, 2023 -
  • Associate Editor, Drones, 2023 -
  • Associate Editor, ICRA, 2020 -
Selected Rearch
Real-Time Human-Drone Interaction via Active Multimodal Gesture Recognition under Limited Field of View in Indoor Environments
Weicheng Fang, Ganghua Lai Yushu Yu*, Chuanbeibei Shi, Xin Meng, Jiali Sun , Zhenchao Cui,
IEEE Robotics and Automation Letters(RAL) 2025
[PDF]

Optimal Design of Integrated Aerial Platforms with Passive Joints
Yushu Yu*, Kaidi Wang, Xin Meng, Jianrui Du, Jiali Sun, Ganghua Lai, Mengxiao Hu, Yibo Zhang,
IEEE Robotics and Automation Letters(RAL) 2025
[PDF]

Tight Fusion of Odometry, Kinematic Constraints, and UWB Ranging Systems for State Estimation of Integrated Aerial Platforms
Yushu Yu*, Yingjun Fan, Ganghua Lai, Chuanbeibei Shi, Fuchun Sun, Xin Meng,
IEEE Transactions on Automation Science and Engineering(TASE) 2025
[PDF]

Variable admittance control via reinforcement learning: Enhancing UAV interactions across diverse platforms
Yuting Feng , Tao Yang, Kaidi Wang , Jiali Sun , Yushu Yu* ,
Neurocomputing 2025
[PDF]

Versatile Tasks on Integrated Aerial Platforms Using Only Onboard Sensors: Control, Estimation, and Validation
Kaidi Wang, Ganghua Lai, Yushu Yu, Jianrui Du, Jiali Sun , Bin Xu , Antonio Franchi, Fuchun Sun
IEEE Transactions on Robotics (TRO) 2025
[PDF]

High-Fidelity Integrated Aerial Platform Simulation for Control, Perception, and Learning
Jianrui Du, Kaidi Wang, Yiming Fan, Ganghua Lai, Yushu Yu
IEEE Transactions on Automation Science and Engineering (TASE) 2025
[PDF]

Efficiently Kinematic-Constraint-Coupled State Estimation for Integrated Aerial Platforms in GPS-Denied Environments
Ganghua Lai, Yushu Yu, Fuchun Sun, Jiaxin Qi, Vincenzo Lippiello
IEEE Robotics and Automation Letters (RA-L) 2025
[PDF]

Improving the Stability of a Planar Tape-Spring Hyper-Redundant Manipulator
Yushu Yu, Hu Liu, Tonghuan Ding, Yi Yang
Mechatronics, vol. 101, 103193, 2024
[PDF]

Dynamic Importance-Weighted Fusion Network Based on Dynamic Convolutions for Hand Posture Recognition: A Technique Based on Red, Green, Blue Plus Depth Cameras
Jing Qi, Li Ma, Yushu Yu
IEEE Robotics & Automation Magazine
[PDF]

Real-Time Multi-Modal Active Vision for Object Detection on UAVs Equipped With Limited Field of View LiDAR and Camera
Chuanbeibei Shi, Ganghua Lai, Yushu Yu, Mauro Bellone, Vincezo Lippiello
IEEE Robotics and Automation Letters (RA-L), 2023
[PDF]

Zero-Shot Sim-To-Real Transfer of Robust and Generic Quadrotor Controller by Deep Reinforcement Learning
Meina Zhang, Mingyang Li, Kaidi Wang, Tao Yang, Yuting Feng, Yushu Yu
International Conference on Cognitive Systems and Signal Processing (ICCSSP), 2023
[PDF]

Enhancing UAV Aerial Docking: A Hybrid Approach Combining Offline and Online Reinforcement Learning
Yuting Feng, Tao Yang, Yushu Yu
Drones, vol. 8, no. 5, 168, 2024
[PDF]

Multi-Agent Visual-Inertial Localization for Integrated Aerial Systems with Loose Fusion of Odometry and Kinematics
Ganghua Lai, Chuanbeibei Shi, Kaidi Wang, Yushu Yu, Yiqun Dong, Antonio Franchi
IEEE Robotics and Automation Letters (RA-L), 2024
[PDF]

Modeling and Control of PADUAV: a Passively Articulated Dual UAVs Platform for Aerial Manipulation
Jiali Sun, Kaidi Wang, Chuanbeibei Shi, Xiujia Li, Xiaojian Yi, Yushu Yu, Fuchun Sun, Yiqun Dong
IEEE International Conference on Robotics and Automation (ICRA), 2024
[PDF]

Tight Fusion of Odometry and Kinematic Constraints for Multiple Aerial Vehicles in Physical Interconnection
Yingjun Fan, Chuanbeibei Shi, Ganghua Lai, Ruiheng Zhang, Yushu Yu, Fuchun Sun, Yiqun Dong
IEEE International Conference on Robotics and Automation (ICRA), 2024
[PDF]

Variable Admittance Interaction Control of UAVs via Deep Reinforcement Learning
Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yifan Song
IEEE International Conference on Robotics and Automation (ICRA), 2023, pp. 1291–1297
[PDF]

Constrained Control for Systems on Matrix Lie Groups with Uncertainties
Chuanbeibei Shi, Yushu Yu, Yuwei Ma, Dong Eui Chang
International Journal of Robust and Nonlinear Control (IJRNC)
[PDF]

Formally Robust and Safe Trajectory Planning and Tracking for Autonomous Vehicles
Yushu Yu, Dan Shan, Ola Benderius, Christian Berger, Yue Kang
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022
[PDF]

A Hierarchical Control Scheme for Multiple Aerial Vehicle Transportation Systems with Uncertainties and State/Input Constraints
Yushu Yu, Chuanbeibei Shi, Dan Shan, Vincenzo Lippiello, Yi Yang
Applied Mathematical Modelling
[PDF]

Two Types of Remote-Center-of-Motion Deployable Manipulators with Dual Scissor-Like Mechanisms
Yi Yang, Hu Liu, Huyong Zheng, Yan Peng, Yushu Yu
Mechanism and Machine Theory, vol. 160, 104274
[PDF]

Finite-Time Geometric Control for Underactuated Aerial Manipulators with Unknown Disturbances
Yushu Yu, Ping Li, Peng Gong
International Journal of Robust and Nonlinear Control (IJRNC)
[PDF]