CV

CV

Taekyung Kim is a first-year PhD student in Robotics at the University of Michigan, Ann Arbor. He has research experiences in learning for robot dynamics and control, model-based reinforcement learning, machine learning, and autonomous driving.
A PDF version of my CV is also available in this link. For the most current version of my CV, please refer to this web page.

Education

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\large\color{black}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
University of Michigan, Ann Arbor
PhD, Robotic (Advisor: Dimitra Panagou)
2023.09 ~ Present
Daegu Gyeongbuk Institute of Science and Technolog (DGIST)
Bachelor's degree, College of Transdisciplinary Studies, 3.92/4.0
Summa Cum Laude
2016.02 ~ 2020.02
UC Berkeley
Visiting Student
2017.06 ~ 2017.08

Publication

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\large\color{black}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Journal Publications

Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving With Model Predictive Path Integral Control [RA-L/ICRA’24]
Authors: Hojin Lee*, Taekyung Kim*, Jungwi Mun, Wonsuk Lee
2023
Self-Supervised 3D Traversability Estimation with Proxy Bank Guidance [IEEE Access]
Authors: Jihwan Bae*, Junwon Seo*, Taekyung Kim, Hae-gon Jeon, Kiho Kwak, Inwook Shim
2023
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments [RA-L/IROS’23]
Authors: Junwon Seo*, Taekyung Kim*, Kiho Kwak, Jihong Min, Inwook Shim
2023
Smooth Model Predictive Path Integral Control without Smoothing [RA-L/IROS‘22]
Authors: Taekyung Kim, Gyuhyun Park, Kiho Kwak, Jihwan Bae, Wonsuk Lee
2022
TOAST: Trajectory Optimization and Simultaneous Tracking Using Shared Neural Network Dynamics [RA-L/IROS’22]
Authors: Taekyung Kim*, Hojin Lee*, Seongil Hong, Wonsuk Lee
2022
An Open-Source Low-Cost Mobile Robot System with an RGB-D Camera and Efficient Real-Time Navigation Algorithm [IEEE Access]
Authors: Taekyung Kim*, Seunghyun Lim*, Gwanjun Shin, Geonhee Sim, Dongwon Yun
2022
Curriculum Learning for Vehicle Lateral Stability Estimations [IEEE Access]
Authors: Jihwan Bae*, Taekyung Kim*, Wonsuk Lee, Inwook Shim
2021
Improved Environment Recognition Algorithms for Autonomous Vehicle Control [Journal of Auto-vehicle Safety Association]
Authors: Inhwan Bae*, Yeonghoo Kim*, Taekyung Kim*, et al.
2019

Peer Reviewed Conference Publications

Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics [RSS’23]
Authors: Taekyung Kim*, Jungwi Mun*, Junwon Seo, Beomsu Kim, Seongil Hong
2023
Safe Navigation in Unstructured Environments by Minimizing Uncertainty in Control and Perception [RSS’23 Workshop on Inference and Decision Making for Autonomous Vehicles (IDMAV)]
Authors: Junwon Seo, Jungwi Mun, Taekyung Kim
2023
Physics Embedded Neural Network Vehicle Model and Applications in Risk-Aware Autonomous Driving Using Latent Features [IROS’22]
Authors: Taekyung Kim*, Hojin Lee*, Wonsuk Lee
2022

Selected Conference Posters and Presentations

Convex Optimization based Robust Optimal Control for Autonomous Vehicle [Institute of Control, Robotics and Systems (ICROS)] Best Paper Award (Top 2.17 %)
Authors: Seongil Hong, Gyuhyun Park, Taekyung Kim, Jungwi Mun
2022
Trajectory Planning for Autonomous Driving with Path Integral Control Using Pre-optimized Prior [Asian Control Conference (ASCC)]
Authors: Yongjae Kim, Wonsuk Lee, Taekyung Kim, Jungwi Mun
2022

Works Under Review

METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
Authors: Junwon Seo, Taekyung Kim, Seongyong Ahn, Kiho Kwak
2023

Research Experience

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\large\color{black}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Agency for Defense Development Full-time Researcher
2020.06 ~ 2023.05
Research Officers for National Defense - Republic of Korea Air Force First Lieutenant
2020.06 ~ 2023.05
Undergraduate Group Research Program Senior Student
2019.03 ~ 2020.02
Undergraduate Group Research Program Senior Student
2018.03 ~ 2019.02

Professional Experience

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\large\color{black}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
NVIDIA Deep Learning Institute (DLI) NVIDIA Jetson AI Ambassador
2022.10 ~ 2023.10
Safe Pass Inc. Co-Founder & CTO
2021.03 ~ Present
Sonnet.AI Associate Research Intern
2019.05 ~ 2019.10
Oasys Story Software Engineer
2018.09 ~ 2020.04

Skills & Tools

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\large\color{black}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Languages & Packages
Python
C++
PyTorch
ROS 1 & ROS 2
OpenCV
Technical Skills
Certified Drone Pilot
Nvidia Isaac
IPG CarMaker
Nvidia Jetson
Docker
GIT
Linux
Premiere Pro & Final Cut

Patents

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\large\color{black}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Physics Embedded Neural Network Dynamics Model Structure of Autonomous Vehicle, Awareness of Hazardous Driving Situation and Stable Driving Methodology Using Latent Variables in the Model Hidden Layer KR Patent
2023.12.13
System and Method for Alleviating Uncertainty Handling in Dynamics Learning Model Using Neural Network KR Patent
2023.05.30
Control Framework of Model Predictive Control and Adaptive Tracking Using Shared Neural Network Dynamics Model KR Patent
2022.09.15
System for Providing Real-Time Vision Recognition Based SAFE PASS Service KR Patent
2022.07.20

Selected Awards & Honors

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\large\color{black}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Chief of Staff of the Republic of Korea Air Force Honors
2020.09
National Scholarship Student (Science and Engineering)
2018.03 ~ 2020.02
1st Place - DGIST Best Research Awards
2020.01
Talent Award of Korea
2019.12
1st Place - SOSCON (Samsung) 2019 Robot Open Source Lab
2019.10
4th Place - 2019 International Student Green Car Competition
2019.09
1st Place - DGIST Best Research Awards
2019.01
1st Place - SOSCON (Samsung) 2018 Robot Cleaner Autonomous Path Planning Algorithm Hackathon
2018.10
2018 International Student Green Car Competition
2018.05
4th Place - International World Robot Olympiad (WRO Final) in Jakarta, Indonesia
2013.05

Contact

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\large\color{black}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
E-mail : tkkim.robot@gmail.com
Tel. : 010 - 2335 - 2144