Chuanbeibei Shi
MSc student and PhD applicant, University of Bristol
becka0shi[AT]gmail.com
Bio
I am a master's student in Robotics at the University of Bristol. My research interest lies in intersection of robotics, computer vision and machine learning , to improve the performance of robots using sensor fusion algorithms. My recent work has focused on sensor fusion and active vision on UAVs.
I got my B.Sc. in Mechatronics and Robotics from the Beijing Institute of Technology in June 2022, I finished my distinguished Bachelor's thesis under the supervision of Prof. Yushu Yu, Prof. Vincezo Lippiello, and Dr. Mauro Bellone. Before coming to Bristol, I spent one year doing an internship in autonomous driving algorithm development and testing at Megvii. Now, I am an MSc student majoring in Robotics and my Master's thesis focuses on Bio-inspired Active Motion and Sensor Fusion for Uncrewed Air Vehicle Environmental Monitoring under the supervision of Prof. Shane Windsor and Dr. Bahadir Kocer, in collaboration with PhD student Haichuan Li. Currently, I am also supervising an undergraduate RA student, Parth Potdar from Cambridge, for our upcoming paper.
For more information, please refer to my latest CV.
News
2024
Apr 27: I will attend ICRA 2024 in Yokohama, Japan
Exciting news! I'll be attending ICRA 2024 and my papers will be presented at oral sessions Aerial Systems: Perception and Autonomy I at 10:30 May 16, Aerial Systems: Mechanics and Control III at 16:30 May 14 and Multi-Robot SLAM at 13:30 May 14. If you will be around, don't hesitate to reach out. Let's chat and discuss together!
Jan 29: Our work was accepted to ICRA 2024
Our work Modeling and Control of PADUAV: A Passively Articulated Dual UAVs Platform for Aerial Manipulation,
Tight Fusion of Odometry and Kinematic Constraints for Multiple Aerial Vehicles in Physical Interconnection was accepted by
IEEE International Conference on Robotics and Automation (ICRA) 2024.
Sep 15: I started my master's study in Robotics at the University of Bristol
I am happy to share that I started my master's program, which offers the opportunity to carry out a practical robotics research project and to make use of the resources at the Bristol Robotics Laboratory, one of the UK's most comprehensive robotics innovation facilities and a leading centre of robotics research.
Aug 21: Our work was accepted to IEEE RAL
Our work Real-Time Multi-Modal Active Vision for Object Detection on UAVs Equipped with Limited Field of View LiDAR and Camera, was accepted by IEEE Robotics and Automation Letters (RAL)
Publications
Most recent publications on Google Scholar.
Tight Fusion of Odometry and Kinematic Constraints for Multiple Aerial Vehicles in Physical Interconnection
Yingjun Fan, Chuanbeibei Shi, Ganghua Lai, Yushu Yu, Yiqun Dong
IEEE International Conference on Robotics and Automation (ICRA), 2024.
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, 2023.
Variable Admittance Interaction Control of UAVs via Deep Reinforcement Learning
Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song
IEEE International Conference on Robotics and Automation (ICRA), 2023.
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, 2023.
Design and Implementation of a Fully-Actuated Integrated Aerial Platform Based on Geometric Model Predictive Control
Chuanbeibei Shi, Yushu Yu
Micromachines, 2022.
Expandable Fully Actuated Aerial Vehicle Assembly: Geometric Control Adapted from an Existing Flight Controller and Real-World Prototype Implementation
Chuanbeibei Shi, Kaidi Wang, Yushu Yu.
Drones, 2022
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, 2022
Constrained Control for Systems on Lie Groups with Uncertainties via Tube-based Model Predictive Control on Euclidean Spaces
Yushu Yu, Chuanbeibei Shi, Yuwei Ma, Dong Eui CHANG
International Conference on Cognitive Systems and Information Processing (ICCSIP), 2021
Tight Fusion of Odometry and Kinematic Constraints for Multiple Aerial Vehicles in Physical Interconnection
Yingjun Fan, Chuanbeibei Shi, Ganghua Lai, Yushu Yu, Yiqun Dong
IEEE International Conference on Robotics and Automation (ICRA), 2024.
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, 2023.
Variable Admittance Interaction Control of UAVs via Deep Reinforcement Learning
Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song
IEEE International Conference on Robotics and Automation (ICRA), 2023.
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, 2023.
Design and Implementation of a Fully-Actuated Integrated Aerial Platform Based on Geometric Model Predictive Control
Chuanbeibei Shi, Yushu Yu
Micromachines, 2022.
Expandable Fully Actuated Aerial Vehicle Assembly: Geometric Control Adapted from an Existing Flight Controller and Real-World Prototype Implementation
Chuanbeibei Shi, Kaidi Wang, Yushu Yu.
Drones, 2022
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, 2022
Constrained Control for Systems on Lie Groups with Uncertainties via Tube-based Model Predictive Control on Euclidean Spaces
Yushu Yu, Chuanbeibei Shi, Yuwei Ma, Dong Eui CHANG
International Conference on Cognitive Systems and Information Processing (ICCSIP), 2021
Multi-Agent Visual-Inertial Localization for Integrated Aerial Systems with Loose Fusion of Kinematics and Odometry
Ganghua Lai, Chuanbeibei Shi, Kaidi Wang, Yushu Yu, Yiqun Dong
Submitted: IEEE Robotics and Automation Letters, 2023.
Projects
Combining CNN with perception constraints to keep the region of interest in the Field-of-view (FOV) of the camera and LiDAR
Developed the real-world program of the MPC for aerial robots,
A hierarchical control scheme for multiple aerial-vehicle transportation systems
Combining CNN with perception constraints to keep the region of interest in the Field-of-view (FOV) of the camera and LiDAR
Developed the real-world program of the MPC for aerial robots,
A hierarchical control scheme for multiple aerial-vehicle transportation systems
Object detection to identify cars and blocks
Final positioning of the target motion state of the submarine.
Vitæ
-
University of Bristol Sep 2023 - Sep 2024MSc student
Robotics -
Megvii Sep 2022 - Jun 2023Intern
Autonomous Driving Algorithm Developer -
North Carolina State University Summer 2021Research Intern
Department of Computer Science -
MIT Summer 2019Research Intern
Machine Learning & Artificial Intelligence -
Beijing Institute of Technology July 2019 - Aug 2023Research Assistant
Robot Perception and Control Theory -
Beijing Institute of Technology Sep 2018 - July 2022B.Sc. Student
Mechatronics and Robotics
Thanks to Martin Saveski for the website template.