HEECHAN SHIN

Ph.D. CANDIDATE

PROFILE

I am currently a Ph.D. candidate in the School of Computing at KAIST, advised by Professor Sung-Eui Yoon. I also completed my Master’s degree at KAIST with the same advisor. Before that, I earned my Bachelor's degree in Electrical and Electronic Engineering from Yonsei University. My research focuses on developing quadruped robot locomotion using reinforcement learning and optimization-based path planning techniques.

INTERNATIONAL PUBLICATIONS

  • Unsupervised Fault-tolerant Locomotion using Curriculum Learning

    Heechan Shin, Jeil Jung, and Seung-eui Yoon

    Experiment-oriented Locomotion and Manipulation Research Workshop @ Robotics: Science and Systems(RSS) 2023

  • Collision-Backpropagation based Obstacle Avoidance Method for a Legged Robot Expressed as a Simplified Dynamics Model

    Jinwon Kim, Heechan Shin, and Sung-Eui Yoon

    IEEE International Conference on Control, Automation and Systems (ICCAS), 2022

DOMESTIC PUBLICATIONS

  • λ‹¨μˆœν™”λœ 동역학 λͺ¨λΈμ„ 가진 λ³΄ν–‰λ‘œλ΄‡μ„ μœ„ν•œ 좩돌 μ—­μ „νŒŒλ₯Ό ν™œμš©ν•œ μž₯μ• λ¬Ό νšŒν”Ό 방법

    김진원, 신희찬, μœ€μ„±μ˜

    ν•œκ΅­λ‘œλ΄‡μ’…ν•©ν•™μˆ λŒ€νšŒ (KRoC), 2022

PATENTS

주어진 μ—”λ“œ-μ΄νŽ™ν„° 경둜λ₯Ό μ •ν™•ν•˜κ²Œ 따라가기 μœ„ν•œ 리던던트 λ§€λ‹ˆν“°λ ˆμ΄ν„°μ˜ 좩돌 μ—†λŠ” ꢀ적 μ΅œμ ν™” 방법 및 μž₯치 (Method and Apparatus for Collision-Free Trajectory Optimization of Redundant Manipulator given an End-Effector Path)

AWARDS

KAIST School of Computing M.S. Dissertation Award

Best paper in Robotic planning at ICAR 2017

EXPERIENCE

Motion Planning and Applications Motion Planning and Applications(CS686) Fall 2020

Introduction to Computer Graphics(CS380) Spring 2020

Data Structure(CS206) Spring 2019

Introduction to Computer Graphics(CS380) Spring 2017