
INVITED TALKS/WORKSHOPS
Mar. 2026 Invited talk, MakerFest’26, Myanmar.
Mar. 2024 “Robotics TechTalk”, Invited talk, American Center Yangon, Myanmar.
Dec. 2019 “Mobile Robot Kinematics”, Invited workshop, Laboratory of Robotics and AI
(LORA), Yangon Technological University, Myanmar.
Jul. 2019 “Engineering and Robotics”, Invited talk, Gakken Classroom Education Seminar,
Myanmar.
Feb. 2019 “Python Programming for beginners”, Invited workshop, MakerFest Myanmar.
Jul. 2018 “Introduction to Python Programming”, Invited workshop, Barcamp TU Hinthada,
Myanmar.
NANODEGREES
Udacity C++ Nanodegree Program Graduated February 2021
Curriculum: OOP, Memory Management, Concurrency
Udacity Sensor Fusion Nanodegree Program Graduated March 2020
Curriculum: Lidar, Radar, Camera, Kalman Filters
SKILLS
Spoken Languages: English (Fluent), Burmese (Native)
Programming Languages: C++, Python, Matlab, Javascript
Tools and Technologies: ROS/ROS2, DDS, Qt, CMake, LATEX, Bash/Shell, Linux, Git, Jira, Confluence
PUBLICATIONS
Phone Thiha Kyaw and Jonathan Kelly, Contact Modes Are Strata: What Geometric Structure Buys in
Discrete-Continuous Planning, https://arxiv.org/abs/2608.15541, 2026 [Link].
Jonathan Kelly, Phone Thiha Kyaw and Mattew Giamou, Lost in Time? Continuous Symmetry and Iden-
tifiability in Aided Inertial Navigation with Unknown Measurement Delays, arXiv preprint arXiv:2607.03699,
2026 [Link].
Miguel Angel Rogel Garcia, Phone Thiha Kyaw and Jonathan Kelly, Exploring the Intrinsic Geometry of
Diffusion Models with Constrained Inverse Kinematics, In Proceedings of the Robotics: Science and Systems
(RSS) 2026 Workshop on Diffusion for Robot Learning, Sydney, Australia, 2026 [Link].
Phone Thiha Kyaw and Jonathan Kelly, Direct Informed Sampling on Riemannian Manifolds via Loewner
Order Lower Bounds, arXiv preprint arXiv:2606.02879, 2026 [Link].
Phone Thiha Kyaw and Jonathan Kelly, Geometry-Aware Sampling-Based Motion Planning on Rieman-
nian Manifolds, Proceedings of the 17th World Symposium on the Algorithmic Foundations of Robotics
(WAFR), 2026 [Link].
Phone Thiha Kyaw, Anh Vu Le, Mohan Rajesh Elara and Jonathan Kelly, Greedy heuristics for sampling-
based motion planning in high-dimensional state spaces, arXiv preprint arXiv:2405.03411, 2025 [Link].
Phone Thiha Kyaw, Anh Vu Le, Prabakaran Veerajagadheswar, Mohan Rajesh Elara, Theint Theint Thu,
Nguyen Huu Khanh Nhan, Phan Van Duc and Minh Bui Vu, Energy-efficient path planning of reconfigurable
robots in complex environments, IEEE Transactions on Robotics, 2022 [Link].
Phone Thiha Kyaw, Aung Paing, Theint Theint Thu, Rajesh Elara Mohan, Anh Vu Le and Prabakaran
Veerajagadheswar, Coverage path planning for decomposition reconfigurable grid-maps using deep reinforce-
ment learning based travelling salesman problem, IEEE Access, 2020 [Link].