Chan Kim

Ph.D. Student

Autonomous Robot Intelligence Lab / Vehicle Intelligence Lab

Electrical and Computer Engineering

Seoul National University

chan_kim@snu.ac.kr

[Google Scholar] [LinkedIn] [CV]

I am Chan Kim, a Ph.D. student in Electrical and Computer Engineering at Seoul National University, where I am co-advised by Prof. Seong-Woo Kim and Prof. Seung-Woo Seo. I received my B.S. in Automotive Engineering from Hanyang University in 2019. During my Ph.D. studies, I had the opportunity to conduct research as a visiting scholar at the University of Florida (Gainesville, FL) under the guidance of Prof. Christophe Bobda.

My research focuses on developing artificial intelligence that enables autonomous vehicles and robots to operate with human-like capabilities.

Research Experience

September 2019 - present

December 2021 - July 2022

International Publications

(* indicates equal contribution)

2024


2023


2022


2021


Projects

Loki: Autonomous Golf Cart
Role - Hardware design, Sensor configuration, Path tracking, and Velocity planning
[video]

Loki is a golf cart designed for developing various autonomous driving algorithms. We built Loki by equipping a golf cart with LiDAR, cameras, a wheel encoder, an IMU, and an autonomous steering system, among other components. We tested several algorithms, including autonomous navigation and rear parking, on the Seoul National University campus.

SNUVI: Autonomous Vehicle for Urban Driving
Role - Low-level controller, Trajectory prediction, and Velocity planning
[video]

SNUVI is an autonomous vehicle designed for urban driving. To navigate urban environments, autonomous vehicles must account for pedestrians, surrounding vehicles, and traffic rules, making optimal decisions in all circumstances. This requires sensitive perception algorithms, centimeter-level accurate localization, and a complex decision-making system. We evaluated our system using various urban driving scenarios in K-City, an experimental city for autonomous driving located in South Korea.

VISKY: Mobile Robot for Autonomous Exploration in Unstructured Environments
Role - Project manager, Hardware design, Global path planning, and Traversability estimation
[video]

VISKY is a mobile robot designed for autonomous exploration in unknown and unstructured environments that are difficult and unsafe for humans to explore. Due to the highly unstructured nature of these environments, VISKY requires robust perception algorithms, highly accurate SLAM algorithms, real-time path replanning algorithms, and more. We evaluated our system in various off-road and mountainous terrains.

LIMBO: Language-Image-based Mobile Robot
Role - Development manager, System design, and System integration
[project page]

LIMBO is a mobile robot system designed to navigate toward specified goals by following language instructions. Inspired by human emotional mechanisms, we integrate emotion into LIMBO, allowing it to adjust its behavior in a one-shot manner based on a single experience.

Patent

2023

Academic Activities

Conference Reviewer

Journal Reviewer