Biography
Qianyi Zhang is a candidate PH.D. of robotics at Institute of Robotics and Automatic Information System, Nankai University, China. His research interests include motion planning of mobile robots, decision-making of automated vehicles, game theory for human-robot interaction, and reinforcement learning in robot navigation.
Interests
- Motion planning of mobile robots
- Decision-making of automated vehicles
- Game theory for human-robot interaction
- Reinforcement learning in robot navigation
Education
PhD in Artificial Intelligence, 2021 - 2026
Nankai University
BSc in Automation System, 2017 - 2021
Nankai University
Skills
Technical
C++
ROS
Reinforcement Learning
Hobbies
Hiking
Skateboarding
Photography
Intern Experience
Motion planning algorithm intern
Huawei
For the motion planning of unmanned delivery vehicles in complex dynamic environments, a hybrid loosely coupled perceptionto-planning projection is proposed to make RL agent understand surroundings efficiently and robustly. The related work has been submitted to RAL and deployed to real vehicles.
Decision-making algorithm intern
Meituan
For the decision-making of unmanned delivery vehicles in narrow roads, prediction and planning are combined to propose an explorative game theory. The related work was published on IROS2022 and deployed to real vehicles.
Recent Publications
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(2023).
Improve Computing Efficiency and Motion Safety by Analyzing Environment With Graphics.
IEEE Transactions on Automation Science and Engineering.
(2023).
The Human Gaze Helps Robots Run Bravely and Efficiently in Crowds.
2023 IEEE International Conference on Robotics and Automation (ICRA).
(2022).
P2EG: Prediction and Planning Integrated Robust Decision-Making for Automated Vehicle Negotiating in Narrow Lane with Explorative Game.
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
(2022).
RTHG: Towards Real- Time Head Detection And Gaze Estimation.
2022 IEEE International Conference on Robotics and Biomimetics (ROBIO).
Contact Us
- arvin.nkzqy@gmail.com
- +86 17612203694
- 38 Tongyan Road, Tianjin, Jinnan 300350