Do-Gon Kim

I recently completed my MS in Mechanical Engineering @ Columbia University. I researched in the ROAM Lab with Eric Chang as a graduate researcher, advised by Prof. Matei Ciocarlie, and in the Nonlinear Control Group as a graduate researcher, advised by Prof. Homayoon Beigi. My past research can be categorized into three areas: Finger Design Integrated with Tactile Sensors, Signal Processing for Sensing, and Control Algorithm Development. I have explored the design of systems that mimic the multiple sensory receptors of human touch. Moving forward, I aim to further explore the intersection of robotics, control systems, and learning to create robots that can better understand and interact with their surrounding environment.

Before joining Columbia, I received my Bachelor's degree in Mechanical Engineering @ New York University, where I worked in the Control/Robotics Research Lab (CRRL), advised by Prof. Farshad Khorrami, on autonomous navigation using SLAM algorithms.

Email  /  CV  /  GitHub  /  LinkedIn

Profile Photo

Recent Updates

[10-2025] Our work on SpikeATac is featured in The Wall Street Journal!
[10-2025] Presented paper & poster at IROS 2025
[10-2025] Presented poster with ROAMHand3 demo at NERC 2025
[7-2025] Gave a talk to Re'Generation Movement and high school students through the Jeju Special Self-Governing Province Office of Education’s “2025 Global University Exploration for High School Students”
[5-2025] Joined Nonlinear Control Group
[5-2025] Graduated from Columbia University!

(+) More ▼

Research

My current research focuses on tactile sensing, robotic manipulation, and control systems, aiming to develop robots that better understand and respond to the physical world.

SpikeATac: A Multimodal Tactile Finger with Taxelized Dynamic Sensing for Dexterous Manipulation
Eric T. Chang*, Peter Ballentine*, Zhanpeng He*, Do-Gon Kim, Kai Jiang, Hua-Hsuan Liang, Joaquin Palacios, William Wang, Pedro Piacenza, Ioannis Kymissis, Matei Ciocarlie
*joint first authorship
Under Review
webpage
VibeCheck Before Image
VibeCheck: Using Active Acoustic Tactile Sensing for Contact-Rich Manipulation
Kaidi Zhang*, Do-Gon Kim*, Eric T. Chang*, Hua-Hsuan Liang, Zhanpeng He, Kathryn Lampo, Philippe Wu, Ioannis Kymissis, Matei Ciocarlie
*equal contribution
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2025
arXiv / webpage

Project

Selected projects from academic courses and research labs.

Vibecheck Project Image
PD Control on JetCobot
Research Project | Nonlinear Control Group | Columbia University
Built a ROS 2 (C++) control framework and implemented a PD controller on the JetCobot.
Vibecheck Project Image
Hand Gesture-Based Robotic Gripper Control
Research Project | ROAM Lab | Columbia University
Built a vision-based control system for robotic grippers for hands-free operation.
DeepRacer Project Image
Vision-Guided Localization for Scaled Smart Intersection using ArUco Marker Tracking
Research Project | DitecT Lab | Columbia University
Developed a real-time ArUco marker detection system.
Introduction to Robotics Project Image
Cable-Driven Parallel Robot with Adaptive Velocity Controller in Distribution Warehouse
Course Project | MECE E4602 Introduction to Robotics | Columbia University
Developed an adaptive velocity controller for a 4-cable-driven parallel robot, enabling dynamic speed adjustments based on the different objects.
paper
turtlebot project Image
Autonomous Navigation
Research Project | CRR Lab | New York University
Enabled Turtlebot3 Burger to detect obstacles, map the environment, and autonomously navigate in an uncertain environment.
abstract booklet
robot vision final project image Sheet Music Sight-Reader
Course Project | ROB-UY 3203 Robot Vision | New York University
Created a Colab-based CV pipeline that takes in the image of a sheet of music and outputs a playable music file.

Teaching

EEME E4601 Digital Control Systems
Teaching Assistant | Columbia University | Spring 2025
Final Evaluation

MECE E4602 Intro to Robotics
Teaching Assistant | Columbia University | Fall 2024

Website template: Jon Barron