Jeonghan Kim
Robotics Software Engineer | Motion Planning and Control
I am a robotics software engineer on the Motion Algorithm Team at Roboe Technologies, where I work on motion planning and control.
Before joining Roboe, I worked on autonomous mobile robot software at Gole Robotics. I received my B.S. degree from Hanyang University ERICA.
I am interested in real-time robot path and motion planning for high-dimensional, constraint-rich environments.
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. |
Work Experience
- Software Engineer, Motion Algorithm Team @ Roboe Technologies (Mar. 2024 - Present)I develop motion algorithms for manipulator-based robot systems. My main responsibility is building a Behavior Tree-based framework that runs motion tasks efficiently and implementing the motion path logic behind those tasks. I also work on task-level optimization and virtual controller development, primarily in C++ and Python.
- Intern, Autonomous Driving Software @ Gole Robotics (Aug. 2023 - Oct. 2023)I worked on autonomous mobile robot software, including packet-based serial communication for embedded controller protocols, sensor benchmarking for IMU, LiDAR, ToF, and barometer candidates, and team development environment standardization with Docker, VS Code, Git, ROS, and ROS 2.
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.