Submitted to ICRA 2027
- TRUCE: Route-Guided Recovery with Predictive Continuation for Quadrotor Navigation
- B. Ye and D. Boyle
- Project details
You can also call me Stephen if you wish
I study robotics and machine learning at Imperial College London. My work spans quadrotor navigation and recovery, physics-constrained wildfire forecasting, teleoperation, and visual perception for manipulation.
At Imperial, I develop TRUCE with Dr David Boyle for quadrotor navigation. Since July 2026, I have also worked with Junyi Geng at Penn State on UAV teleoperation and robotic manipulation, and Yiwei Lyu at Texas A&M on wildfire prediction. Earlier research placements at Midea Group and KUKA Robotics focused on humanoid teleoperation, visual perception and manipulation.
I’m interested in how technical systems can feel gentle—how robotics, sensing, and datasets can be shaped as quiet, legible tools rather than noisy complexity. My work often focuses on interaction behaviours: micro-feedback, spatial clarity, and the visual organisation of diagrams and control surfaces.
I prototype with a mixture of embedded controllers, RGB-D cameras, motion sensors, and computational pipelines, supported by clean editorial UI layers for debugging, teleoperation, and documentation.
Submitted to ICRA 2027
Persistent route guidance, recovery from measured vehicle state, and predictive continuation checks for quadrotor navigation.
View ProjectResearch in progress
Learned spread-rate corrections and differentiable anisotropic Eikonal propagation for fireline and arrival-time forecasting.
View ProjectResearch in progress
Operator viewpoints, camera configuration, robotic-arm control and simulation for teleoperation experiments.
View Project
Project completed
Vision Pro humanoid teleoperation with spatial anchoring, hand/object tracking, streaming and demonstration recording.
View ProjectMy four-year integrated degree combines undergraduate and master’s study, with coursework in machine learning, robotics, computing, data science, electronics and finite element analysis.
Four-year integrated Bachelor’s and Master’s degree
Imperial College London · Dyson School of Design Engineering
I maintain a small archive of experiments, diagrams, code notes, dataset runs, and speculative sketches—updated whenever a result feels worth capturing.