Zhipeng Shen 沈志鹏

Researcher

Huawei Intelligent Automotive Solution BU (Yinwang) — 2030 Lab

About Me

Hi! I am a researcher at Huawei Intelligent Automotive Solution BU (Yinwang)’s 2030 Lab in Shanghai, where I work on VLA/WAM for autonomous driving.

Before joining Huawei, I received my Ph.D. from the Department of Aeronautical and Aviation Engineering at The Hong Kong Polytechnic University under the supervision of Dr. Hailong Huang. From October 2024 to March 2025, I was a visiting researcher at the DRAGON Lab at The University of Tokyo, hosted by Dr. Moju Zhao.

My research spans trajectory optimization, optimal control, aerial robotics, and learning-enabled autonomous systems. I am particularly interested in extending optimization-based planning toward multi-agent aerial systems, swarm autonomy, and learning-enhanced decision-making in complex environments.

“Nothing takes place in the world whose meaning is not that of some maximum or minimum.” ― Leonhard Euler

Interests

Trajectory Optimization and Optimal Control
Aerial Robotics and Generalized Multirotor Systems
Multi-Agent Planning, Swarm Autonomy, and Learning-Enabled Decision-Making

Education

Ph.D. in Aeronautical and Aviation Engineering, 2022-2025
The Hong Kong Polytechnic University, Hong Kong SAR, China
MEng in Control Engineering, 2019-2022
Beihang University, Beijing, China
BEng in Aircraft Design and Engineering, 2015-2019
Northwestern Polytechnical University, Xi’an, China

Featured Publications

Zhipeng Shen, Jinjie Li, Shiyu Zhou, Moju Zhao, Hailong Huang

August, 2026 IEEE Transactions on Automation Science and Engineering

Efficient Trajectory Optimization for Generalized Multirotors via Sequential Convex Programming and Convexity Exploitation

We develop an efficient trajectory optimization framework for generalized multirotors using sequential convex programming and convexity exploitation.

Zhipeng Shen, Guanzhong Zhou, Hailong Huang

October, 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Sequential Convex Programming for Time-optimal Quadrotor Waypoint Flight

We propose a method to efficiently compute the time-optimal trajectory for waypoint flight utilizing the full dynamics of a quadrotor.

Zhipeng Shen, Guanzhong Zhou, Hailong Huang, Chao Huang, Yutong Wang, Fei-Yue Wang

January, 2024 IEEE Transactions on Intelligent Vehicles, vol. 9, no. 1, pp. 138–150

Convex Optimization-Based Trajectory Planning for Quadrotors Landing on Aerial Vehicle Carriers

This paper presents a novel trajectory planning algorithm for quadrotors landing on aerial vehicle carriers (AVCs).

Shiying Dong, Zhipeng Shen, Rudolf Reiter, Hailong Huang, Bingzhao Gao, Hong Chen, Wen-Hua Chen

July, 2026 IEEE Transactions on Control Systems Technology (Early Access)

A Fast Semidefinite Convex Relaxation for Optimal Control Problems With Spatio-Temporal Constraints

We develop a fast semidefinite convex relaxation for optimal control problems with spatio-temporal constraints.

Zhipeng Shen, Guanzhong Zhou, Peng Sun, B. Lan, Q. Meng, Hao Cao, Shiyu Zhou, Jinliang Shao, Hailong Huang

June, 2026 IEEE International Conference on Robotics and Automation (ICRA)

Autonomous Aerial Vehicle Carrier and MAV Collaboration: System Design, Trajectory Optimization, and Real-world Implementation

We present an autonomous aerial vehicle carrier and MAV collaboration system integrating system design, trajectory optimization, and real-world implementation.

Other Publications

Quickly discover relevant content by filtering publications.

Peng Sun, Zhipeng Shen, Shiji Tong, Hailong Huang, Jinliang Shao, Kaiyu Qin, Zhenbing Luo (2026). Covert Surveillance in Urban Scenarios by UAVs: A Sequential Convex Optimization-Empowered Online Trajectory Planning Approach. Chinese Journal of Aeronautics, Article 104338.

Video DOI

Zhipeng Shen, Shiyu Zhou, Hailong Huang (2026). Convexity-Exploiting Successive Convexification for Safe Drone Racing. 2026 IEEE 20th International Conference on Control and Automation (ICCA).

Source Document DOI

Ruipeng Xi, Zhipeng Shen, Hailong Huang, Huaguang Zhang (2025). Command Filtered Adaptive Tracking Consensus of Random Nonlinear Multi-Agent Systems. IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 8361–8370.

DOI

Hao Cao, Li Cheng, Zhipeng Shen, Chao Huang, Hailong Huang, Fei-Yue Wang (2024). Detecting and Tracking 6-DoF Motion of Unknown Dynamic Objects in Industrial Environments Using Stereo Visual Sensing. IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 54, no. 12, pp. 7558–7570.

Video DOI

Zhipeng Shen, Chao Huang, Hailong Huang, Yutong Wang, Fei-Yue Wang, Abbas Jamalipour, Duc Truong Pham, Ljubo Vlacic, Andrey v. Savkin (2024). The Emerging Intelligent Vehicles and Intelligent Vehicle Carriers Collaborative Systems. 35th IEEE Intelligent Vehicles Symposium (IV).

DOI

See all publications

Experience

Researcher, Research Department

Huawei Intelligent Automotive Solution BU (Yinwang) — 2030 Lab

April 2026 – Present Shanghai

Develop learning-based decision and control models for autonomous driving, with a focus on trajectory-level meta-decision prediction and high-level reasoning.

Visiting Researcher

The University of Tokyo — DRAGON Lab

October 2024 – March 2025 Tokyo

Conducted the research leading to a first-author paper in IEEE TASE, developing an efficient trajectory-optimization framework for generalized multirotors via sequential convex programming and convexity exploitation.
Applied the framework to conventional and tiltable multicopters, spanning optimal-control formulation, solver development, implementation, and experimental validation.

Research Intern

Beijing Institute of Spacecraft System Engineering, China Academy of Space Technology

July 2021 – July 2021 Beijing

Investigated close-approach guidance for rendezvous and docking of on-orbit servicing spacecraft; optimized relative trajectories using the Gaussian pseudospectral method and designed an LQR guidance law for the Clohessy–Wiltshire equations.
Conducted representative mission simulations in Systems Tool Kit (STK) and analyzed guidance errors induced by measurement uncertainty.
Received the Outstanding Intern Award.