Robotics · Control · Autonomy · Full-stack systems
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I am an engineer focused on robotics, autonomous systems, control, and AI. I received my M.S. in Systems, Control and Robotics from KTH Royal Institute of Technology and my B.S. in Electrical Engineering (Automation) from Zhejiang University. Goal: Build practical robot systems that survive the whole journey from algorithm to hardware-facing integration. Experience: My work spans industrial control, verification, perception, planning, and machine learning—from powertrain actuators and vehicle software architecture to ROS perception pipelines and autonomous navigation for race cars and drones. Interests: Robotics, SLAM, path planning, reinforcement learning, computer vision, full-stack product building, and practical engineering for real-world systems. Miscellanea: Video editing and online content creation, magic and cardistry, bridge and Xiangqi, and films. Email: zihanqiao [AT] gmail [DOT] com |
- 2025: Building CR Texas, a bilingual full-stack web app with reproducible shared sessions and a mobile-first interface.
- 2023-2025: Developed and verified production control software for hybrid powertrain actuator systems across multiple product variants.
- 2021: Completed an M.S. in Systems, Control and Robotics at KTH with a thesis on deep reinforcement learning for adaptive traffic signal control.
- 2019-2021: Built ROS perception and MPC path tracking for the KTH Formula Student Driverless electric race car.
- 2018: Worked on visual recognition and path generation for an EyeBot autonomous car platform in a published research internship.
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Built real-time ROS perception in Python/C++ for stereo-camera cone detection on an electric race car, resolved a frame-rate bottleneck to meet a 50 ms control-loop deadline, and worked on MPC path tracking for stable laps at competition velocity. This experience bridged robotics research ideas with real-world autonomous-system constraints. |
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Built an autonomous drone system in C++/Python/ROS integrating visual landmark recognition, SLAM mapping, and A* mission planning. The system completed a full pickup-and-return mission in a physical indoor obstacle environment. |
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Built a playful Arduino-based 6-DOF robotic arm for human-robot interaction, combining ultrasonic and infrared sensing, six high-torque digital servos, gripper control, PC-host calibration, autonomous embedded operation, and audio feedback. |
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Worked on SVM-based visual recognition and path generation on an EyeBot autonomous car platform using Python and C/C++, focusing on perception-oriented autonomy in a compact real-world research setting. |
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Designed a DQN-based agent with rollout look-ahead in PyTorch for real-time traffic signal phase optimization. The method outperformed fixed-timing baselines and standard DQN in throughput and average vehicle delay across varying traffic densities. |
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Built a Python/Flask and vanilla JavaScript web app with seed-based reproducible shared sessions, gameplay-oriented deck statistics, bilingual CN/EN support, and a mobile-first interface. |
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Developed and tuned MATLAB/Simulink control models for hybrid powertrain actuator systems across 16 functional units, diagnosed parameter drift behind intermittent MiL/SiL failures, and migrated 89 TPT files to multi-variant regression validation to improve verification across product variants. |
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Resolved vehicle signal-timing and configuration faults across CANalyzer logs, tooling definitions, and DBC files, and designed software architecture for an autonomous vehicle input/output module and brake-system integration package. |
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I enjoy bridge and Xiangqi for their blend of probability, pattern recognition, memory, and decision-making under incomplete information. Those games connect naturally with how I think about systems and problem solving. |
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Magic and cardistry are creative outlets where timing, rhythm, attention control, presentation, and audience connection matter. They exercise a different part of the brain from engineering, which is exactly why I like them. |
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Beyond technical work, I enjoy video editing, online content creation, and films. I like projects that mix storytelling, visual communication, technical craft, and product taste, and I want this site to leave room for those parts of me too. |