Embodied intelligence
Intelligent systems that connect perception and action through interaction with the physical world.
Huawei · Embodied intelligence
Learning to act in the physical world.
I am currently at Huawei, working on embodied intelligence. My research background connects vision-language-action systems, robot decision-making and control, and reinforcement learning.
Ph.D., Tsinghua University · Former visiting scholar, University of Michigan, Ann Arbor.

My current focus is embodied intelligence, building on earlier work in autonomous driving, wheeled robots, and learning-based control.
Intelligent systems that connect perception and action through interaction with the physical world.
VLA systems and multimodal driving data, connecting visual observations with decision-making and control.
Reinforcement learning, safety-aware decisions, and control for wheeled robots and autonomous vehicles.
Human–machine shared driving based on Hamilton–Jacobi reachability, published in Accident Analysis & Prevention.
Read the paper ↗Drift cornering control and real-vehicle deployment for electric vehicles, published in IEEE Transactions on Industrial Electronics.
Driving observations paired with rich chassis dynamics, including raw IMU and GPS heading, for limit-handling research and VLA model training. Six scenario categories span normal driving, complex traffic, critical situations, low light, rain, and snow.
A Python model with validated high-fidelity tire simulation for conventional and drift driving.
View repository ↗A Simulink bridge connecting CarSim and Python for vehicle reinforcement learning research.
View repository ↗Road surface images for research on tire–road friction coefficient estimation.
Explore dataset ↗Current: I am at Huawei, working on embodied intelligence.
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Iason Liagkas, Shiyue Zhao, Neda Masoud. “Behaviorally informed joint optimization of charger placement and dynamic spatio-temporal pricing for electric vehicle networks”. Transportation Research Part B: Methodological, 2026.
Shiyue Zhao, Junzhi Zhang, Rui Zhou, Neda Masoud, Jianxiong Li, Helai Huang, Shijie Zhao. “Human-machine shared driving for vehicle collision avoidance based on Hamilton-Jacobi reachability”. Accident Analysis & Prevention, 230 (2026): 108474.
Liu Q, Huang H, Zhao S, et al. RiskNet: interaction-aware risk forecasting for autonomous driving in long-tail scenarios[J]. Transportation Research Part E: Logistics and Transportation Review, 2026, 205: 104478.
Zhao S, Zhang J, Jiang Y, et al. Tire-Road friction coefficients adaptive estimation through image and vehicle dynamics integration[J]. Mechanical Systems and Signal Processing, 2025, 224: 112039.
Zhao S, Zhang J, Masoud N, et al. Drift Cornering Control and Real-Vehicle Deployment for Electric Vehicles[J]. IEEE Transactions on Industrial Electronics, 2025, 72(12): 13509-13520.
Zhao S, Zhang J, He C, et al. Autonomous vehicle extreme control for emergency collision avoidance via Reachability-Guided reinforcement learning[J]. Advanced Engineering Informatics, 2024, 62: 102801.
Zhao S, Zhang J, He X, et al. A Harmonized Approach: Beyond-the-Limit Control for Autonomous Vehicles Balancing Performance and Safety in Unpredictable Environments[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(11): 15827-15840.
Zhao S, Zhang J, He C, et al. Adaptive drift control of autonomous electric vehicles after brake system failures[J]. IEEE Transactions on Industrial Electronics, 2024, 71(6): 6041-6052.
Zhao S, Zhang J, He C, et al. Collision-free emergency planning and control methods for CAVs considering intentions of surrounding vehicles[J]. ISA Transactions, 2023, 136: 535-547.
Hou, X., Gan, M., Wu, W., Ji, Y., Zhao, S., and Chen, J. (2024). Cross-Observability Optimistic-Pessimistic Safe Reinforcement Learning for Interactive Motion Planning With Visual Occlusion. IEEE Transactions on Intelligent Transportation Systems.
Hou, X., Gan, M., Wu, W., Ji, Y., Zhao, S., & Chen, J. (2024). Equipping With Cognition: Interactive Motion Planning Using Metacognitive-Attribution Inspired Reinforcement Learning for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems.
Hou, X., Gan, M., Wu, W., Zhao, S., Ji, Y., & Chen, J. (2024). Risk-Conscious Mutations in Jump-Start Reinforcement Learning for Autonomous Racing Policy. IEEE Transactions on Cybernetics.
Zhou, Z., Huang, H., Li, B., Zhao, S., and Mu, Y. SafeDrive: Knowledge-and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models. IEEE Transactions on Intelligent Transportation Systems, 2025.
Han, J., Zhang, J., Lv, C., He, C., Wei, H., Zhao, S., and Ji, Y. (2024). Safe Replanning and Motion Control for Automated Emergency Braking Under Braking System Failures. IEEE Transactions on Vehicular Technology.
Han, J., Zhang, J., Lv, C., He, C., Wei, H., and Zhao, S. (2024). Robust Fault Tolerant Path Tracking Control for Intelligent Vehicle under Steering System Faults. IEEE Transactions on Intelligent Vehicles.
Hou, X., Gan, M., Wu, W., Wang, C., Ji, Y., and Zhao, S. (2024). Merging planning in dense traffic scenarios using interactive safe reinforcement learning. Knowledge-Based Systems, 290, 111548.
Han, J., Zhang, J., He, C., Lv, C., Wei, H., Zhang, J., and Zhao, S. (2024). Uniform Finite Time Safe Path Tracking Control for Obstacle Avoidance of Autonomous Vehicle via Barrier Function Approach. IEEE Transactions on Intelligent Transportation Systems.
Huang, H., Liu, J., Shi, G., Zhao, S., Li, B., and Wang, J. Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Environments. IEEE Transactions on Intelligent Transportation Systems, 2025.
Hou, X., Gan, M., Zhang, J., Zhao, S., and Ji, Y. (2023). Vehicle ride comfort optimization in the post-braking phase using residual reinforcement learning. Advanced Engineering Informatics, 58, 102198.
Hou, X., Gan, M., Zhang, J., Zhao, S., and Ji, Y. (2023). Secondary crash mitigation controller after rear-end collisions using reinforcement learning. Advanced Engineering Informatics, 58, 102176.
Zhao, S., Song, Z., and He, X. (2023, October). A Finite-Time Safety Filter for Learning-Based Autonomous Driving. In 2023 IEEE International Conference on Unmanned Systems (ICUS) (pp. 1-6). IEEE.
Zhao, S., Li, J., Hu, X., Zhang, J., and He, C. (2022, November). Vehicle Extreme Control based on Offline Reinforcement Learning. In 2022 China Automation Congress (CAC) (pp. 4539-4543). IEEE.
Huang, H., Zheng, X., Liu, Y., Zhao, S., Wang, Y., and Wang, J. (2023, November). Intelligent Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Scenarios. In 2023 3rd International Conference on Digital Society and Intelligent Systems (DSInS) (pp. 258-264). IEEE.
荣誉只是纸上之名,真正的价值在于无私的爱在世界留下的微小改变。
Honors are mere names on paper; their true value lies in the quiet changes my selfless love leaves in the world.
Small explorations in interactive graphics and generative art.
Get in touch
I welcome academic discussions on embodied intelligence, VLA systems, robotics, and reinforcement learning.