← Search

Wan Kyun Chung

48 accepted papers

2026

Impedance Control Design Framework Using Commutative Map between SE(3) and Se(3)

ICRA 2026poster

Impedance control is a widely adopted approach that ensures the compliant behavior of robot manipulators as they interact with their environment according to specifically designed dynamics. For tasks involving six degrees of freedom (DoF), it is crucial to appropriately manage the position and orien…

Cited by 0Scholar
2025

Deep Learning-Based Friction Compensation in Low Velocity for Enhanced Direct Teaching in Collaborative Manipulators

ICRA 2025

Direct teaching in collaborative manipulators, an essential method for intuitive trajectory control, faces significant challenges due to friction in robot joints. To address this, we present a novel friction compensation framework to improve direct teaching methods for robots. Our approach focuses o

Cited by 0SourceScholar
2025

Stress-Driven Algorithm for Fiber Alignment in Smart Materials for Controlled Deformation in 4D-Printed Soft Robotics

IROS 2025

This work proposes a path generation policy for self-actuating soft grippers by converting external deformation conditions into intrinsic load conditions. This transformation enables anisotropic material orientation control of functional materials — which can deform under stimuli — aligning with the

Cited by 0SourceScholar
2024

Ensuring Joint Constraints of Torque-Controlled Robot Manipulators under Bounded Jerk

IROS 2024poster

This paper proposes an optimization-based control framework for the torque-controlled robot, which can satisfy the joint position, velocity, and acceleration constraints under a bounded jerk. The optimization filter is incorporated as a module to modify the nominal controller output to ensure joint…

Cited by 0SourceScholar
2024

Lie Group-Based User Motion Refinement Control for Teleoperation of a Constrained Robot Arm

RA-L 2024

In unilateral teleoperation systems, robots often face challenges when performing tasks with specific geometric constraints. These constraints restrict the robot's movements to certain directions, requiring accurate control of its position and orientation. If the operator's commands do not consider

Cited by 5SourceScholar
2023

Bounded Compensation with Friction Estimation for Accurate Motion Tracking and Compliant Behavior of Industrial Manipulators

ICRA 2023poster

This paper proposes a control structure for accurate tracking and compliant behavior of industrial manipulators without additional sensors. To achieve control objectives, friction, one of the biggest causes of performance degradation, should be compensated. For tracking performance, the estimated fr…

Cited by 4SourceScholar
2022

Maximal Manipulation Framework using Quadratic Programming for a Teleoperated Robotic System with Articulated bodies

ICRA 2022poster

This paper proposes a teleoperation framework to exploit the maximum manipulation capability during teleoperation. Here, exploiting maximum manipulation capacity means that the robot moves with its maximum control input while not violating the given constraints, and it is a nonlinear optimization pr…

Cited by 4SourceScholar
2022

On the Performance and Passivity of Admittance Control with Feed-Forward Input

IROS 2022poster

This paper analyzes the effect of control param-eters of feed-forward and inner loop velocity controller in an admittance control scheme on the performance and passivity. The interaction force, inertia, and damping compensation were considered as the feed-forward input. Sufficient conditions and gui…

Cited by 7SourceScholar
2022

Torque Control of Hydraulic Pressure Servo Valve Driven Actuator with Deep Neural Network

IROS 2022poster

Non-linear dynamics, model uncertainties due to hydraulic fluid, and disturbances in hydraulic systems make it difficult to obtain accurate torque tracking performance. In this study, a learning-based torque-tracking method is proposed, which does not require approximating the torque dynamics. The p…

Cited by 4SourceScholar
2021

Safety-oriented Teleoperation Framework for Contact-rich Tasks in Hazardous Workspaces

IROS 2021poster

This paper proposes an admittance controller-based teleoperation system for contact-rich tasks. Based on the analysis of the motivating task (deposited iron lump removal task in the steel mill), the system concept is focused on the practical aspects of the system, and various components are combined…

Cited by 4SourceScholar
2020

Deep Learning Based Real-Time OCT Image Segmentation and Correction for Robotic Needle Insertion Systems

RA-L 2020

This article proposes deep learning based real-time optical coherence tomography (OCT) image segmentation and correction algorithm for vision-based robotic needle insertion systems that can be used in DALK (deep anterior lamellar keratoplasty) surgery. The proposed algorithm provides the position of

Cited by 13SourceScholar
2020

Development of Backdrivable Servovalve With Feedback Spring for Enhanced Electro-Hydraulic Torque Actuator

RA-L 2020

This letter proposes a novel backdrivable servovalve to implement a torque-controlled electro-hydraulic actuator. The proposed backdrivable servovalve simultaneously contains the characteristics of a flow-control servo valve (=feedback spring) and a pressure-control servovalve (=pressure feedback po

Cited by 7SourceScholar
2020

Motion Intensity Extraction Scheme for Simultaneous Recognition of Wrist/Hand Motions

ICRA 2020poster

Surface electromyography contains muscular information representing gestures and corresponding forces. However, conventional sEMG-based motion recognition methods, such as pattern classification and regression, have intrinsic limitations due to the complex characteristics of sEMG signals. In this pa…

Cited by 2SourceScholar
2020

Passivity-Based Robust Compliance Control of Electro-Hydraulic Robot Manipulators With Joint Angle Limit

RA-L 2020

This paper presents a robust compliance control scheme for an electro-hydraulic robot manipulator with an electrohydraulic torque actuators (EHTAs) and joint torque sensors. The EHTA, a torque-sourced hydraulic actuator, consists of electrohydraulic backdrivable servovalve and a rotary hydraulic van

Cited by 27SourceScholar
2020

Robust Micro-Particle Manipulation in a Microfluidic Channel Network Using Gravity-Induced Pressure Actuators

IROS 2020poster

Robust particle manipulation is a challenging but essential technique for single-cell analysis and processing of microfluidic devices. This paper proposes a micro-particle manipulation system with a microfluidic channel network. We built gravity-induced pressure actuators, which can generate high-re…

Cited by 0SourceScholar
2020

Task Space Control of Articulated Robot Near Kinematic Singularity: Forward Dynamics Approach

RA-L 2020

In this study, a forward dynamics-based control (FDC) framework is proposed for task space control of a nonredundant robot manipulator. The FDC framework utilizes forward dynamic robot simulation and an impedance controller to solve the inverse kinematics problem. For the practical use of the propos

Cited by 16SourceScholar
2019

Collision Detection for Industrial Collaborative Robots: A Deep Learning Approach

RA-L 2019

With increased human-robot interactions in industrial settings, a safe and reliable collision detection framework has become an indispensable element of collaborative robots. The conventional framework detects collisions by estimating collision monitoring signals with a particular type of observer,

Cited by 157SourceScholar
2019

Hierarchical Motion Segmentation Through sEMG for Continuous Lower Limb Motions

RA-L 2019

Surface electromyograms (sEMG), are records of electrical signals generated by muscles, and have long been used to indicate the motions intended by humans to enable interactions between a robot and a human. To support not only the diverse movements in human daily living but also the task of increasi

Cited by 11SourceScholar
2018

Muscle Activation Source Model-based sEMG Signal Decomposition and Recognition of Interface Rotation

IROS 2018poster

Muscle activation signals are measured from the skin surface as surface electromyography (EMG) signals that contain information on human intentions; therefore, they are widely used in various robotics applications owing to their usability. However, selective muscle activation extraction is difficult…

Cited by 11SourceScholar
2018

Pneumatic Microneedle-Based High-Density sEMG Sleeve for Stable and Comfortable Skin Contact During Dynamic Motion

IROS 2018poster

Skin impedance should be minimized to obtain reliable and precise surface electromyography (sEMG) signals. High skin impedance decreases sensitivity to muscular activation and makes sEMG signals vulnerable to external noise. Microneedle-based electrodes have been proposed to achieve low skin impedan…

Cited by 6SourceScholar
2018

Received Signal Strength of Electromagnetic Waves Aided Integrated Inertial Navigation System for Underwater Vehicle

IROS 2018poster

Sensory information from an Earth-fixed reference is necessary to guarantee a high localization accuracy of an unmanned underwater vehicle (UUV). However, the implementation of these sensors in an underwater environment is challenging because of signal uncertainties and strong signal attenuation. In…

Cited by 4SourceScholar
2018

Spatial sEMG Pattern-Based Finger Motion Estimation in a Small Area Using a Microneedle-Based High-Density Interface

RA-L 2018

The human finger exhibits fine motor skills that are widely used in daily activities. Thus, the motion estimation of a moving finger has several potential applications. Several surface electromyography interfaces have been proposed to estimate finger motion by analyzing finger-related muscles. Howev

Cited by 6SourceScholar
2018

Super-High-Purity Seed Sorter Using Low-Latency Image-Recognition Based on Deep Learning

RA-L 2018

Most commercial optical sorting systems are designed to achieve high throughput, so they use a naive low-latency image processing for object identification. These naive low-latency algorithms have difficulty in accurately identifying objects with various shapes, textures, sizes, and colors, so the p

Cited by 49SourceScholar
2017

Disturbance-observer-based PD control of electro-hydrostatically actuated flexible joint robots

IROS 2017poster

Position-based proportional derivative (PD) controllers are known to be able to render compliant behaviors to a robot, and they are usually used in conjunction with a friction compensator to improve control performance. Existing methods are effective when applied to actuation systems with mechanical…

Cited by 8SourceScholar
2017

Intrinsically backdrivable hydraulic servovalve for interactive robot control

ICRA 2017poster

There has been consistent trials to make a hydraulic actuator to be effective in interactive robot applications that require high power and durability. However, conventional strategies to obtain this goal, such as force/torque servo control or adding elastic components, suffer from complexity, senso…

Cited by 11SourceScholar
2017

Position-based PD control design for hydraulic robots using passive subsystems in multi-time scales

ICRA 2017poster

A position-based proportional-derivative (PD) controller with inner torque feedback loops can be used as a simple controller to render compliant behaviors to hydraulic robots. However, using this control framework involves a tradeoff between the stability and performance of the closed-loop system (w…

Cited by 3SourceScholar
2016

3D underwater localization scheme using EM wave attenuation with a depth sensor

ICRA 2016

Previously, we proposed a scheme that determines the position of a remotely operated underwater vehicle (ROV) from the signal strengths of commercial radio-frequency sensors and antennas. This scheme provides accurate position information in a structured environment but is limited to two-dimensional

Cited by 20SourceScholar
2016

A passivity-based admittance control design using feedback interconnections

IROS 2016poster

Admittance control is a well-established and popular control strategy in modern robotics. However, the standard admittance controller has several limitations. First, the passivity can be guaranteed by finding a set of control parameters that makes the admittance function positive real. However, this…

Cited by 18SourceScholar
2016

Feedback control of inertial focusing using real-time extraction of equilibrium positions

ICRA 2016

Inertial microfluidics has facilitated promising applications of lab-on-a-chip devices for high-throughput biological analysis. However, as the mechanism of inertial microfluidics remains largely unknown, there are many difficulties in obtaining the desired equilibrium positions; hence, most researc

Cited by 0SourceScholar
2016

Joint torque servo control of electro-hydrostatic actuators for high torque-to-weight ratio robot control

IROS 2016poster

This paper proposes joint torque servo control of an electro-hydrostatic actuator (EHA) for effective dynamic control of robot manipulators. In the control design, the fluid parameters are not considered to develop a simple low-level controller used for multi degree-of-freedom (DOF) robot manipulato…

Cited by 9SourceScholar
2016

Localizing a needle tip using 2D microscope images and detecting vertical approach of a needle based on focus measures for intracellular microneedle insertion

IROS 2016poster

Microneedle insertion is useful for elucidating the processes in living cells and their organelles. However, mechanical puncture by the needle causes traumatic damage to the cell. As a less invasive process, we have developed intracellular needle insertion using femtosecond laser cell ablation. To q…

Cited by 1SourceScholar
2016

Microneedle-based high-density surface EMG interface with high selectivity for finger movement recognition

ICRA 2016

The human hand shows complex motor skills and is widely used in activities in daily living. Thus, finger movement recognition has many potential applications in rehabilitation, tele-operation, and prosthetic hands. Several surface electromyography (sEMG) interfaces have been developed to recognize f

Cited by 6SourceScholar
2016

On-chip automation of sequential flow switching with serially connectable fluidic monostable multivibrator

IROS 2016poster

We propose a fluidic monostable multivibrator (fMMV) circuit, which is a new flow-switching mechanism in microfluidic chips. Flow control using parallel fMMV circuits does not require an external controller; this is a distinct advantage over various conventional micro-flow control methods. The fMMV…

Cited by 0SourceScholar
2016

Powered upper-limb control using passivity-based nonlinear disturbance observer for unknown payload carrying applications

ICRA 2016

This paper proposes a passivity-based nonlinear disturbance observer (DOB) design for a powered upper-limb robot control. The proposed DOB allows for the nonlinearities of the robot dynamics, whereas the typical DOB designs cannot. Moreover, by virtue of the passivity property, human operator and en

Cited by 5SourceScholar
2015

A hybrid actuator system for single particle manipulation on a microfluidic chip

ICRA 2015poster

We developed a ‘hybrid actuator system’ to precisely control the position of a micro-particle at high speed in a microfluidic chip. The hybrid actuator system benefits from two actuator systems by combining an electroosmotic flow generator and pressure-driven flow induced by a piezoelectric actuator…

Cited by 6SourceScholar
2015

Carrying heavy payload with limited sensory information using high order disturbance observer

IROS 2015poster

Carrying unknown heavy payload is one of the classical problems in robotics. To realize heavy payload capability, the use of high reduction gears, which causes large motor-side inertia and large friction, is inevitable. This paper proposes a disturbance observer (DOB)-based approach that (1) reduces…

Cited by 0SourceScholar
2015

Dynamic motion phase segmentation using sEMG during countermovement jump based on hidden semi-Markov model

ICRA 2015poster

Dynamic motion of human shows kinematic aspects related to storing elastic energy in skeletal muscle. This results from joint stiffness modulation and as a consequence, countermovement which is opposite to the intended motion is observed. We propose a segmentation algorithm based on a hidden semi-Ma…

Cited by 5SourceScholar
2015

Feasibility of a novel indicator for lump detection using contact pressure distribution

IROS 2015poster

This paper presents a novel indicator for lump detection that uses only contact pressure distribution, as well as its feasibility evaluation. The conventional lump detection methods are based on a pressure map obtained from contact pressure distributions, but they requires an adequate regulation of…

Cited by 6SourceScholar
2015

SEA force/torque servo control with model-based robust motion control and link-side motion feedback

ICRA 2015poster

A series elastic actuator (SEA) consists of a system with an intrinsically compliant mechanism, and introduces the possibility of external force/torque sensing and control. However, this mechanism is also known to reduce torque servo-control bandwidth and to separate link-side dynamics from actuator…

Cited by 24SourceScholar
2015

Underwater sensor network using received signal strength of electromagnetic waves

IROS 2015poster

We propose a scheme that uses the signal strength received from commercial RF sensors to determine the position of a sensor underwater. The scheme can give accurate position information and has fast update rate, but is limited to short sensor range with the signal identification problem. The infrast…

Cited by 28SourceScholar