Jeonghan Kim
I am a robotics researcher and software engineer focused on path planning for high-dimensional robotic systems under complex constraints.
Most recently, I was a Visiting Student Researcher at the University of Michigan, advised by Prof. Kang G. Shin, where I worked on generative path planning and offline decision-making. Previously, I developed motion-planning software for industrial manipulators at Roboe Technologies and autonomous mobile robot software at Gole Robotics.
I received my B.S. degree in Robot Engineering from Hanyang University ERICA, where I conducted undergraduate research at RAISE Lab. I am grateful to Prof. Youngmoon Lee for his mentorship and guidance during this period.
News
| Mar 11, 2024 | Snapbot was accepted to ACM/IEEE HRI 2024 as a Late-Breaking Report. |
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| Mar 01, 2024 | Joined the Motion Algorithm Team at Roboe Technologies, working on motion planning, control, and collision-aware robot execution. |
| Jul 01, 2023 | The separable drone-mobile robot patrol project received the Undergraduate Best Paper Award at ICROS 2023. |
Experience
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Software Engineer, Motion Algorithm Team @ Roboe Technologies (Mar. 2024 - Jun. 2026)I developed motion algorithms for manipulator-based robot systems, including a Behavior Tree-based framework for efficient motion-task execution and the underlying motion-planning logic. I also worked on task-level optimization and virtual controller development, primarily in C++ and Python. -
Intern, Autonomous Driving Software @ Gole Robotics (Aug. 2023 - Oct. 2023)I developed autonomous mobile robot software, including a packet-based serial communication library aligned with embedded controller protocols and statistical benchmarking of IMU, LiDAR, ToF, and barometer candidates for sensor selection.
Publications
- In ACM/IEEE International Conference on Human-Robot Interaction (HRI), Late-Breaking Report, Boulder, USA, 2024
- In ICROS Annual Conference 2023, Conference Paper, Samcheok, South Korea, 2023Undergraduate Best Paper Award
Projects
robotics
- ERIC_A was an indoor autonomous delivery robot project focused on dispatch, navigation, and person-aware delivery.
Open Source
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Planning - Python 3D Path Planning LibraryPlanning is an open-source Python path-planning library for sampling-based planners and 3D visualization.