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Jaeheung Park

Seoul National University · Engineering

About the Lab

Professor Jaeheung Park's research lab specializes in advanced robotics control, with a focus on operational space control, compliant motion control, and humanoid robot dynamics. The lab develops innovative frameworks for force and motion control in complex robotic systems, particularly in scenarios involving multiple contacts, singularities, and environmental interactions. Key research directions include transparent teleoperation, robust force control using state estimation, and real-time localization for autonomous systems such as self-parking vehicles. The lab integrates theoretical control design with experimental validation, emphasizing practical applications in humanoid robotics and intelligent automation.

operational space controlcompliant motion controlmulti-contact force controlrobotic teleoperationSLAM for autonomous vehicles

Research Overview

Papers
243
Total Citations
3,168
Papers (5y)
93
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
93total
2022
2023
2024
2025
2026
Citations per year (5y)
477total
20222023202420252026

Selected Papers

15
1
Article|123 citations·2006
A Haptic Teleoperation Approach Based on Contact Force Control
Jaeheung Park, Oussama Khatib
SJR Q1The International Journal of Robotics Research

This paper presents a new teleoperation approach using a virtual spring, and local contact force control on the slave robot. The operational space framework provides the control structure needed to achieve decoupled task dynamics. A virtual spring connects the master and slave systems and a closed-loop force controller compensates for the dynamics of the slave system, rendering transparent the effector of the slave robotic system. The active force control approach allows the desired motion and c

Mechanical EngineeringEngineering
2
Article|117 citations·2021
Accurate Path Tracking by Adjusting Look-Ahead Point in Pure Pursuit Method
Joonwoo Ahn, Seho Shin, Minsung Kim, Jaeheung Park
SJR Q2International Journal of Automotive Technology
Computer Vision and Pattern RecognitionComputer Science
3
Article|102 citations·2008
Synthesis of natural arm swing motion in human bipedal walking
Jaeheung Park
SJR Q1Journal of Biomechanics
Biomedical EngineeringEngineering
4
Article|101 citations·2006
Contact consistent control framework for humanoid robots
Jaeheung Park, Oussama Khatib

This paper presents a framework for the dynamical formulation and control of humanoid systems. In this framework unactuated virtual joints are used to describe the humanoid's configuration with respect to the inertial frame. The dynamics of the system are then formulated in a general manner that considers arbitrary contact with the environment. A control structure is implemented for both motion and contact forces that accounts for under-actuation due to the virtual joints. A strategy is also imp

Biomedical EngineeringEngineering
5
Article|70 citations·2012
Music similarity-based approach to generating dance motion sequence
Minho Lee, Kyogu Lee, Jaeheung Park
SJR Q1Multimedia Tools and Applications
Signal ProcessingComputer Science
6
Article|57 citations·2015
Balancing of humanoid robot using contact force/moment control by task-oriented whole body control framework
Yisoo Lee, Soonwook Hwang, Jaeheung Park
SJR Q1Autonomous Robots
Biomedical EngineeringEngineering
7
Article|46 citations·2008
Robot multiple contact control
Jaeheung Park, Oussama Khatib
SJR Q2RoboticaOA

SUMMARY This paper addresses the problem of contact force control for multiple contacts distributed over multiple links in a robot. This is of importance when performing complex tasks in unstructured environment, particularly in humanoid robot applications. The proposed multicontact control framework provides a new way of defining the operational space coordinates, which facilitates the specification of multiple contact control. The contact force space on multiple links is constructed as an oper

Control and Systems EngineeringEngineering
8
Article|45 citations·2013
Robot Control near Singularity and Joint Limit Using a Continuous Task Transition Algorithm
Hyejin Han, Jaeheung Park
SJR Q2International Journal of Advanced Robotic SystemsOA

When robots are controlled in the task space, singularities and joint limits are among the most critical and difficult issues that can arise. In this paper, we propose a new approach for the robots to operate in the regions near singularities and joint limits using the operational space control framework. Specifically, a continuous task transition algorithm called the intermediate desired value approach is applied to the hierarchically structured controller in the operational space control frame

Control and Systems EngineeringEngineering
9
Article|30 citations·2016
Low stiffness design and hysteresis compensation torque control of SEA for active exercise rehabilitation robots
Wonje Choi, Jongseok Won, Jimin Lee, Jaeheung Park
SJR Q1Autonomous Robots
Biomedical EngineeringEngineering
10
Article|28 citations·2006
Multi-Link Multi-Contact Force Control for Manipulators
Jaeheung Park, Oussama Khatib

This paper presents a compliant motion control framework for multiple contacts distributed over multiple links. The one link multi-contact control approach implemented in our previous work has been extended to contacts over multiple links. Experimental results demonstrate three point contact control on two links of a PUMA560 manipulator. A robust force control design is implemented with a Kalman estimator and full state feedback method to compensate for the modeling errors of the manipulator and

Control and Systems EngineeringEngineering
11
Article|25 citations·2019
Grasping Force Estimation by sEMG Signals and Arm Posture: Tensor Decomposition Approach
Sang-Hyun Kim, Joowan Kim, Mingon Kim, Seungyeon Kim, Jaeheung Park
SJR Q1Journal of Bionic Engineering
Biomedical EngineeringEngineering
12
Book Chapter|21 citations·2006
Robust Haptic Teleoperation of a Mobile Manipulation Platform
Jaeheung Park, Oussama Khatib
Springer tracts in advanced robotics
Mechanical EngineeringEngineering
13
Article|20 citations·2019
Parking Line Based SLAM Approach Using AVM/LiDAR Sensor Fusion for Rapid and Accurate Loop Closing and Parking Space Detection
Gyubeom Im, Minsung Kim, Jaeheung Park
SJR Q1SensorsOA

Parking is a challenging task for autonomous vehicles and requires a centimeter level precision of distance measurement for safe parking at a destination to avoid collisions with nearby vehicles. In order to avoid collisions with parked vehicles while parking, real-time localization performance should be maintained even when loop closing occurs. This study proposes a simultaneous localization and mapping (SLAM) method, using around view monitor (AVM)/light detection and ranging (LiDAR) sensor fu

Building and ConstructionEngineering
14
Article|20 citations·2016
Team SNU's Control Strategies for Enhancing a Robot's Capability: Lessons from the 2015 DARPA Robotics Challenge Finals
Sang-Hyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Ho-Sang Lee, Seho Shin, Minsung Kim
SJR Q1Journal of Field Robotics

This paper presents the technical approaches used and experimental results obtained by Team SNU (Seoul National University) at the 2015 DARPA Robotics Challenge (DRC) Finals. Team SNU is one of the newly qualified teams, unlike 12 teams who previously participated in the December 2013 DRC Trials. The hardware platform THORMANG, which we used, has been developed by ROBOTIS. THORMANG is one of the smallest robots at the DRC Finals. Based on this platform, we focused on developing software architec

Mechanical EngineeringEngineering
15
Article|18 citations·2022
Autonomous driving using imitation learning with look ahead point for semi structured environments
Joonwoo Ahn, Minsoo Kim, Jaeheung Park
SJR Q1Scientific ReportsOA

Semi-structured environments are difficult for autonomous driving because there are numerous unknown obstacles in drivable area without lanes, and its width and curvature considerably change. In such environments, searching for a path on a real-time is difficult, and localization data are inaccurate, reducing path tracking accuracy. Instead, alternative methods that reactively avoid obstacles in real-time using candidate paths or an artificial potential field have been studied. However, these re

Computer Vision and Pattern RecognitionComputer Science

Research Areas

Biomedical EngineeringControl and Systems EngineeringMechanical EngineeringComputer Vision and Pattern RecognitionAerospace EngineeringEmergency Medicine

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