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hyuantan/README.md

Hi there πŸ‘‹ I'm Huoyuan

πŸŽ“ Robotics Algorithm Engineer Β Β·Β  πŸ€– Autonomous Mobile Robotics Β· Embodied Intelligence

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πŸ‘¨β€πŸ’» About Me

  • πŸš— Robotics Algorithm Engineer with 5+ years of industry experience developing and deploying autonomous mobile robot systems in ports, factories, and logistics scenarios.
  • πŸ€– My hands-on work covers perception, SLAM, path planning, control, multi-sensor fusion, and ROS-based robot system implementation in C++ and Python, from prototype validation to on-site deployment.
  • πŸŽ“ I recently completed my M.Sc. in Computer Science and Engineering at the University of Gothenburg (2026), with a thesis on Assessment & Failure Recovery in Remote Vision-Language-Action (VLA) Deployment.
  • 🧠 I am interested in interpretable and hierarchical robot learning, human-aware robot behaviour, and failure-aware adaptation and recovery for reliable embodied robot systems.

🧰 Tech Stack

Python C++ ROS PyTorch Linux Git Docker MATLAB

πŸ”¬ Research Interests

  • πŸš— Autonomous Mobile Robotics AMRs, Intelligent Guided Vehicles (IGVs), and autonomous forklifts for real-world logistics and automation tasks; perception, SLAM, planning, control, and multi-sensor fusion for deployed robot systems.

  • 🧠 Embodied AI & Robot Learning Structured and interpretable robot intelligence, learning-based adaptation, and reliable behaviour in physical robot environments.

  • πŸ‘οΈ MLLM/VLMs for Robotics Multimodal foundation models-based task-level reasoning, scene understanding and human intention understanding for human-aware robot systems.

  • πŸͺ¨ Vision-Language-Action (VLA) Models Remote VLA deployment, action generation in robotic manipulation, navigation and locomotion tasks.

  • πŸ” Failure Detection, Recovery
    Runtime failure monitoring, reinforcement learning for adaptive execution, experience-based adaptation, and failure recovery strategies for robust robot behaviour.

🌱 Beyond Code

🏸 Badminton Β Β·Β  πŸ€– Hobby robotics / DIY

πŸ“Œ Pinned

πŸ“Š GitHub Stats

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