Profile
Design Engineering student at Imperial College London’s Dyson School, working across robotics, computer vision, and computational systems. My practice combines technical precision with interaction design principles—building tools that feel intuitive, responsive, and human-centered.
Education
- 2022—Present · MEng Design Engineering
Imperial College London · Dyson School of Design Engineering
Focus on robotics, human-computer interaction, and computational design. Key projects include teleoperation systems, 6D pose estimation pipelines, and children’s interaction devices.
Experience
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Summer 2024 · Research Intern
Imperial Robotics Lab
Developed mixed-reality teleoperation systems for humanoid robots using Vision Pro. Implemented real-time inverse kinematics and depth-based collision avoidance. -
Summer 2023 · Research Intern
Imperial Computer Vision Lab
Built one-shot 6D pose estimation pipelines using synthetic data generation in Blender. Worked on open-vocabulary object understanding and real-time tracking refinement.
Technical Skills
Robotics & Hardware
- ROS / ROS2, Arduino, ESP32
- Sensor integration, motor control
- 3D printing, CNC machining
Computer Vision & AI
- OpenCV, PyTorch, TensorFlow
- 6D pose estimation, object detection
- Depth sensing, point cloud processing
Design & Development
- Figma, Blender, SolidWorks
- Python, JavaScript/TypeScript
- React, Astro, Node.js
Selected Projects
- Mixed-Reality Teleoperation — Vision Pro-driven control system for humanoid robots with haptic feedback
- One-Shot 6D Pose Estimation — Open-vocabulary object understanding from single demonstrations
- Natural Kit — Teachable behavior systems for children aged 0–6
- Smart Storage System — Habit formation through calm interaction patterns
- Autofocus Assist Device — Precision focusing tool for film cameras
Languages
- Chinese — Native
- English — Fluent
Contact
- Email: [email protected]
- GitHub: @boxuanye
- LinkedIn: Boxuan Ye