Phone Thiha Kyaw
M.A.Sc. StudentDepartment: Current Students, Master's Students
Phone is exploring geometric methods to advance motion planning and task-level behaviours, making robots move and act more intelligently and efficiently.
Previously, he worked in robotics at Dyson and LionsBot International, where he contributed to many autonomy software stacks and large-scale robotic deployments. Phone also conducted research at the ROAR Lab, Singapore University of Technology and Design, and earlier studied Mechatronics Engineering at Yangon Technological University. He holds a first-class honours degree in Electronic Engineering from the University of Portsmouth.
You can find out more about him here.
Greedy Heuristics for Sampling-Based Motion Planning in High-Dimensional State Spaces
We develop a bidirectional, asymptotically optimal sampling-based planner that uses greedy heuristics to shrink the informed sampling region and focus search on the most promising regions of the problem domain.
arXiv, Robotics (2025)