Juri Kim

Hojae Lee

Hail An

Dohoon Gong

Minwoong Jo

Sihyeon Kim

Dami Won

Janghun Park

Mingyu Shim

JuSung Choi

Junho Lee

Jaehyeon Byeon

Eunbin Cho

Heejun Moon

Wonmyung Lee

Minwoo Kim

Dongwook Jang

Sanghoon Kim

Donggeun Won

Sanghyun Park

Hajun Choi

The Bio-Robotics and Control (BiRC) Lab at Korea University focuses on bio-robotics and control systems.

고려대학교 생체 로봇 및 제어 연구실은 생체 로봇 공학 및 제어 시스템에 중점을 둔다.

A Fully Soft Sensing Suit With Optimal Sensor Placement for Real-Time Motion Tracking

A Semi-Active Back Assistive Exoskeleton
with a Real-time Motion Classification Algorithm

A Three-Phase Electrostatic Clutch with Variable Mechanical Impedance Control for Soft Robotic Systems

Tactile sensor-based Estimation of Grasp Force
and Contact State with Soft Fingers

An Augmented Reality-based Wearable System for Handheld-Free and Intuitive Robot Programming

A Base-Located Gravity Compensation Mechanism With Double Multi-Winding for Enhanced Intrinsic Safety and Energy-Efficiency

ANN-UKF-Based Estimator for Landing Forces in Quadruped Robots

Soft Multimodal Sensors with Decoupled Multimodality and Minimal Wiring for Wearable Systems

Applying Multistep Classification Techniques With Pre-Classification to Recognize Static and Dynamic Hand Gestures Using a Soft Sensor-Embedded Glove

A Stretchable Thermoelectric Device based on Direct Ink Writing of Liquid Metal and Multi-Layer Lamination

Individually addressable multi-touch sensors using a sweep signal for minimal wiring complexity

Design of a Human-inspired Sensorized and Adaptive Foot that Enhances Stability through Tensegrity (Hi-SAFEST)

Development of a Soft Semi-Active Suit using Electro-static Clutches for Assisting Static Holding Tasks

A Sensorized Soft Robotic Hand with Adhesive Fingertips for Multimode Grasping and Manipulation

Self-locking pneumatic actuators formed from origami shape-morphing sheets

Analysis and Perspectives on the ANA Avatar XPRIZE Competition

A Whole-Body Integrated AVATAR System: Implementation of Telepresence with Intuitive Control and Immersive Feedback

A Soft, Self-Sensing Tensile Valve for Perceptive Soft Robots

Pattern Design of a Liquid Metal Based Wearable Heater for Constant Heat Generation under Biaxial Strain

A Novel Iterative Second-Order Neural-network Learning Control Approach for Robotic Manipulators

Development of clothing-type platforms considering pressure and user satisfaction: focusing on industrial workers who tend to lift loads

Development of a Stiffness-Adjustable Articulated Paddle and its Application to a Swimming Robot

Lifetime Prediction of Silicone and Direct Ink Writing-based Soft Sensors Under Cyclic Strain

Real-time Gesture Recognition in the view of Repeating Characteristics of Sign Languages

A Passive Upper Limb Exoskeleton with Tilted and Offset Shoulder Joints for Assisting Overhead Tasks

Performance Evaluation of a Tactile and Kinesthetic Finger Feedback System for Teleoperation

A Hybrid Jamming Structure Combining Granules and a Chain Structure for Robotic Applications

A Direct Ink Writing Based Fabric-Embedded Soft Sensor for Improved Durability and Sewability

WeHAPTIC-light: A Cable Slack-based Compact Hand Force Feedback System for Virtual Reality

A Liquid Metal Based Multimodal Sensor and Haptic Feedback Device for Thermal and Tactile Sensation Generation in Virtual Reality

Analysis of electrical resistance changes in liquid metal printed wires under strain for stretchable electronics

Marangoni Effect Inspired Robotic Self-propulsion Over a Water Surface using a Flow-imbibition-powered Microfluidic Pump

Origami-structured Actuating Modules for Upper Limb Support

A Dynamic Gait Stabilization Algorithm for Quadrupedal Locomotion through Contact Time Modulation

Gait Optimization of a Quadruped Robot Using Evolutionary Computation

A Precise Neural-disturbance Learning Controller of Constrained Robotic Manipulators

Review of machine learning methods in soft robotics

Torque Control of a Series Elastic Tendon-sheath Actuation Mechanism

Deep Learning based Real-time Recognition of Dynamic Finger Gestures using a Data Glove

WeHAPTIC: A Wearable Haptic interface for Accurate Position Tracking and Interactive force Control

Directional Motion on Water Surface with Keel Extruded Footpads Propelled by Marangoni Effect

A Nonlinear Sliding Mode Controller of Serial Robot Manipulators with Two-level Gain-learning Ability

Integrated Design and Fabrication of a Conductive PDMS Sensor and Polypyrrole Actuator Composite

A Sensorized Hybrid Gripper to Evaluate a Grasping Quality based on a Largest Minimum Wrench

A Three-dimensional Hand Motion Measurement System of a Thumb and an Index Finger Without a Calibration Process

An Effective Disturbance-Observer-Based Nonlinear Controller for a Pump-Controlled Hydraulic System

Optimized Design of a Body-powered Finger Prosthesis using Fingertip Trajectories based on Polar Coordinate Analysis

Comprehensive Analysis of Efficient Swimming using Articulated Legs Fringed with Flexible Appendages Inspired by a Water Beetle

A Tele-operated Display with a Predictive Display Algorithm

Evaluation of a Wearable Hand Kinesthetic Feedback System for Virtual Reality: Psychophysical and User Experience Evaluation

Direct Wiring of Eutectic Gallium-Indium to a Metal Electrode for Soft Sensor Systems

Evaluation of Finger Force Control Ability in terms of Multi-finger Synergy

A Direct Robust Nonsingular Terminal Sliding Mode Controller based on an Adaptive Time-delay Estimator for Servomotor Rigid Robots

A Portable and Spring-guided Hand Exoskeleton for Exercising Flexion/Extension of the Fingers

A Hybrid Gripper with Soft Material and Rigid Structures

Compliant Mechanosensory Composite (CMC): a Compliant Mechanism with an Embedded Sensing Ability based on Electric Contact Resistance

An Interactive and Intuitive Control Interface for a Tele-operated Robot (AVATAR) System

Gain-adaptive Robust Backstepping Position Control of a BLDC Motor System

Consistent and Reproducible Direct Ink Writing of Eutectic Gallium-Indium for High Quality Soft Sensors

Development of a Hand Exoskeleton System for Quantitative Analysis of Hand Functions

Inverse Kinematics Analysis and COG Trajectory Planning Algorithms for Stable Walking of a Quadruped Robot with Redundant DOFs

UNI-Copter: A Portable Single-rotor-powered Spherical Unmanned Aerial Vehicle (UAV) with an Easy-to-assemble and Flexible Structure

Method for Measuring Finger Movements

Force Reflecting System

소프트 그리퍼

소프트 엑소슈트

미세 유체 펌프 및 이를 구비하는 로봇

근력 보조 장치

그래뉼라 및 체인 구조를 결합한 하이브리드 재밍 구조

3차원 손가락 움직임 측정 장치

센서형 구동 장치 및 이의 제조 방법

오리가미식 구동 장치 및 이의 제조 방법

센서 내장형 소프트 그리퍼 유닛 및 이를 포함하는 소프트 로봇 장치

로봇용 구동 장치 및 이의 제조 방법

손 착용형 장치 및 그 제조 방법

3D 프린팅을 이용한 소프트 센서, 이의 제조방법 및 이를 적용한 웨어러블 장치

소프트 그리퍼 유닛 및 이를 포함하는 소프트 로봇 장치

손 움직임 측정을 위한 착용형 메커니즘

유연 메커니즘 기반 로봇용 관절장치 및 이의 제조방법

손 움직임 측정 시스템

3D 프린팅을 이용한 3차원 손가락 움직임 측정 시스템과 이의 제조방법

손 재활을 위한 착용형 메커니즘

자기 유동성 탄성체를 이용한 가변 강성 구동기를 적용한 역감 전달 시스템

자기 유동성 유체를 이용한 가변 강성 구동기 및 이를 적용한 역감 전달 시스템

이중 텐선-쉬스 메커니즘을 이용한 힘 전달 시스템

착용형 손 외골격 장치

역감 전달 시스템

케이블을 이용한 착용형 손 외골격 장치

소프트 센서 및 이를 이용한 손가락 움직임 측정 시스템

치매의 자가 조기 진단 및 훈련을 위한 안구 운동 및 지각 기능 기반 가상현실 시스템

힘 제어를 위한 스프링-액추에이터 메커니즘을 갖는 외골격 시스템

로봇팔을 이용한 과수 작업기

손 외골격 구조를 위한 힘 제어 구동기 모듈 및 이를 이용한 손 외골격 시스템

손가락 움직임 측정 시스템 및 측정 방법

케이블 구동을 이용한 발목 재활 시스템

틸팅 및 수직이동하는 어깨 조인트를 갖는 상지 외골격 구조체

가상 물체와의 상호작용을 위한 손 외골격 링크 구조체

6족 보행 로봇

손가락 역감 전달을 위한 착용형 시스템

소프트센서가 부착된 장갑을 이용한 단계별 정적 및 동적 손가락 제스처 인식

소프트 밸브

Control of rotary series elastic actuator for ideal force-mode actuation in human–robot interaction applications

A compact rotary series elastic actuator for human assistive systems

A liquid metal based multimodal sensor and haptic feedback device for thermal and tactile sensation generation in virtual reality

Gait phase analysis based on a Hidden Markov Model

A hybrid gripper with soft material and rigid structures

Force-mode control of rotary series elastic actuators in a lower extremity exoskeleton using model-inverse time delay control

Development of a wearable sensing glove for measuring the motion of fingers using linear potentiometers and flexible wires

Direct wiring of eutectic gallium–indium to a metal electrode for soft sensor systems

A tele-monitoring system for gait rehabilitation with an inertial measurement unit and a shoe-type ground reaction force sensor

An effective disturbance-observer-based nonlinear controller for a pump-controlled hydraulic system

A soft sensor-based three-dimensional (3-D) finger motion measurement system

Design and control of a wearable and force-controllable hand exoskeleton system

Consistent and reproducible direct ink writing of eutectic gallium–indium for high-quality soft sensors

Deep learning based real-time recognition of dynamic finger gestures using a data glove

A mobile gait monitoring system for abnormal gait diagnosis and rehabilitation: A pilot study for Parkinson disease patients

A portable and spring-guided hand exoskeleton for exercising flexion/extension of the fingers

Modified preview control for a wireless tracking control system with packet loss

A compact rotary series elastic actuator for knee joint assistive system

Locomotion of arthropods in aquatic environment and their applications in robotics

Joonbum Bae

To realize ideal force control of robots that interact with a human, a very precise actuating system with zero impedance is desired. For such applications, a rotary series elastic actuator (RSEA) has been introduced recently. This paper presents the design of RSEA and the associated control algorithms. To generate joint torque as desired, a torsional spring is installed between a motor and a human joint, and the motor is controlled to produce a proper spring deflection for torque generation. When the desired torque is zero, the motor must follow the human joint motion, which requires that the friction and the inertia of the motor be compensated. The human joint and the body part impose the load on the RSEA. They interact with uncertain environments and their physical properties vary with time. In this paper, the disturbance observer (DOB) method is applied to make the RSEA precisely generate the desired torque …

Precise and large torque generation, back drivability, low output impedance, and compactness of hardware are important requirements for human assistive robots. In this paper, a compact rotary series elastic actuator (cRSEA) is designed considering these requirements. To magnify the torque generated by an electric motor in the limited space of the compact device, a worm gear is utilized. However, the actual torque amplification ratio provided by the worm gear is different from the nominal speed reduction ratio due to friction, which makes the controller design challenging. In this paper, the friction effect is considered in the model of cRSEA, and a robust control algorithm is designed to precisely control the torque output in the presence of nonlinearities such as the friction. The mechanical design and dynamic model of the proposed device and the design of a robust control algorithm are discussed, and actuation …

Soft robots have been extensively researched due to their flexible, deformable, and adaptive characteristics. However, compared to rigid robots, soft robots have issues in modeling, calibration, and control in that the innate characteristics of the soft materials can cause complex behaviors due to non-linearity and hysteresis. To overcome these limitations, recent studies have applied various approaches based on machine learning. This paper presents existing machine learning techniques in the soft robotic fields and categorizes the implementation of machine learning approaches in different soft robotic applications, which include soft sensors, soft actuators, and applications such as soft wearable robots. An analysis of the trends of different machine learning approaches with respect to different types of soft robot applications is presented; in addition to the current limitations in the research field, followed by a summary of the existing machine learning methods for soft robots.

Virtual reality (VR) has been widely used for training, gaming, and entertainment, and the value of VR is continually increasing as a contact‐free technology. For an immersive VR experience, measuring finger movements and providing appropriate feedback to the hand are as important as visual information, given the necessity of the hands for activities in daily life. Thus, a hand‐worn VR device with motion sensors and haptic feedback is desirable. In this paper, a multimodal sensing and feedback glove is developed with soft, stretchable, lightweight, and compact sensor and heater sheets manufactured by direct ink writing (DIW) of liquid metal, eutectic gallium‐indium (eGaIn). In the sensor sheet, ten sensors and three vibrators are embedded to measure finger movements and provide vibro‐haptic feedback. The other heater sheet provides thermo‐haptic sensation in accurate and rapid manner via model‐based …

For effective gait rehabilitation treatments, the status of a patient’s gait needs to be analyzed precisely. Since the gait motions are cyclic with several gait phases, the gait motions can be analyzed by gait phases. In this paper, a Hidden Markov Model (HMM) is applied to analyze the gait phases in the gait motions. Smart Shoes are utilized to obtain the ground reaction forces (GRFs) as observed data in the HMM. The posterior probabilities from the HMM are used to infer the gait phases, and the abnormal transition between gait phases are checked by the transition matrix. The proposed gait phase analysis methods have been applied to actual gait data, and the results show that the proposed methods have the potential of tools for diagnosing the status of a patient and evaluating a rehabilitation treatment.

Various robotic grippers have been developed over the past several decades for robotic manipulators. Especially, the soft grippers based on the soft pneumatic actuator (SPA) have been studied actively, since it offers more pliable bending motion, inherent compliance, and a simple morphological structure. However, few studies have focused on simultaneously improving the fingertip force and actuation speed within the specified design parameters. In this study, we developed a hybrid gripper that incorporates both soft and rigid components to improve the fingertip force and actuation speed simultaneously based on three design principles: first, the degree of bending is proportional to the ratio of the rigid structure; second, a concave chamber design is preferred for large longitudinal strain; and third, a round shape between soft and rigid materials increases the fingertip force. The suggested principles were verified …

For a physical human-robot interaction (pHRI) system such as an exoskeleton, it has been an important issue to control the interaction force between the user and the actuators because it directly determines the accuracy of the realized impedance. However, the accurate force control of the exoskeleton system has not been fully achieved due to the difficulties caused by uncertainties from pHRI. To overcome this problem, in this study, the series elastic actuator (SEA) was operated by a time delay control (TDC), which directly compensated the uncertainties without an accurate model of them, realizing the designed model dynamics in the actuator. However, in spite of the successful application of TDC, the delays between the desired and model dynamics severely degraded the force control performance of the SEA. Thus, a new strategy named model-inverse time delay control was proposed by introducing a virtual …

In this paper, a wearable sensing glove for measuring the motion of the fingers is proposed. The system consists of linear potentiometers, flexible wires, and linear springs, which makes it compact and lightweight so that it does not interfere with the natural motion of the fingers. Inspired by the way wrinkles on finger joints are smoothed out when the finger is flexed, a flexible wire is attached to the back of each finger. As the flexible wire moves due to the motion of the finger, the joint angles are calculated by measuring the change in length of wire. Linear potentiometers with linear springs were used to maintain the tension of the wires in order to measure the wire length change consistently. Because the motion of the proximal interphalangeal (PIP) joint is dependent on that of the distal interphalangeal (DIP) joint, only two linear potentiometers were used for each finger. A compact sensing module including 10 linear …

For wider applications of liquid metal-based stretchable electronics, electrical interface has remained a crucial issue due to its fragile electromechanical stability and complex fabrication steps. In this study, a direct writing-based technique is introduced to form the writing paths of conductive liquid metal (eutectic gallium–indium, eGaIn) and electrical connections to off-the-shelf metal electrodes in a single process. Specifically, by extending eGaIn wires written on a silicone substrate, the eGaIn wires were physically connected to five different metal electrodes, of which stability as an electrical connection was investigated. Among the five different surface materials, the metal electrode finished by electroless nickel immersion gold (ENIG) was reproducible and had low contact resistance without time-dependent variation. In our experiments, it was verified that the electrode part made by an ENIG-finished flexible flat cable …

In this paper, a tele-monitoring system is proposed, using an inertial measurement unit (IMU) and a shoe-type ground reaction force (GRF) sensor called a Smart Shoe to measure a patient’s walking data, and transmitting the measured data via the Internet. In our previous work, a mobile gait-monitoring system was developed, which provided visual feedback based on GRFs measured by a Smart Shoe (used as a mobile platform). However, the limited information provided by the Smart Shoe alone may not be adequate for a tele-monitoring system using the Internet. In the present tele-monitoring system for gait rehabilitation, a Smart Shoe is combined with an IMU for detailed monitoring of walking motions. By analyzing the signals from the IMU and the Smart Shoe, foot trajectories, walking distance, length of stride, etc., can be estimated. A user-friendly graphic interface displays the measured or estimated data on …

Researches for improving the control performance of hydraulic systems in both control accuracy and energy efficiency have never stopped in aerospace and industrial applications. The existence of nonlinearities, uncertainties, and unknown terms in the system dynamics, however, significantly limits the desired performance. To realize improvements by dealing with these problems, an advanced position controller incorporated with effective disturbance observers (DOs) applied for a pump-controlled hydraulic system is proposed in this article. Here, uncertainties are considered as certainties (nominal terms) and their deviations. To eliminate certain nonlinearities in the system dynamics, the proposed controller is designed based on a simplified robust sliding-mode-backstepping scheme. The lumped unknown terms, which mainly degrade the performance of the controller, in pressure dynamics and force dynamics …

In this study, a soft sensor-based three-dimensional (3-D) finger motion measurement system is proposed. The sensors, made of the soft material Ecoflex, comprise embedded microchannels filled with a conductive liquid metal (EGaln). The superior elasticity, light weight, and sensitivity of soft sensors allows them to be embedded in environments in which conventional sensors cannot. Complicated finger joints, such as the carpometacarpal (CMC) joint of the thumb are modeled to specify the location of the sensors. Algorithms to decouple the signals from soft sensors are proposed to extract the pure flexion, extension, abduction, and adduction joint angles. The performance of the proposed system and algorithms are verified by comparison with a camera-based motion capture system.

In this paper, a wearable and force-controllable hand exoskeleton system is proposed. In order to apply force feedback to the fingertip while allowing natural finger motions, the exoskeleton linkage structure with three degrees of freedom (DOFs) was designed, which was inspired by the muscular skeletal structure of the finger. Kinematic performance of the proposed linkage structure was verified by comparing with functional range of motion (ROM) which is required for activities in daily living. As an actuating system, a series elastic actuator (SEA) mechanism, which consisted of a small linear motor, a manually designed motor driver, a spring and potentiometers, was applied. Friction of the motor was identified and compensated to obtain a linearized model of the actuating system. Using a linear quadratic (LQ) tuned proportional-derivative (PD) controller and a disturbance observer (DOB), the proposed actuator …

Given the need for stretchable sensors, many studies have been conducted on eutectic gallium–indium, which has superior properties as a conductive ink. However, it has remained a challenge to manufacture sensors in a consistent and reproducible manner because conventional mold-based fabrication still depends highly on manual techniques. To overcome this limitation, the direct ink writing was used in this study, focusing on improving the stability of writing by exploring issues related to failure and ensuring the consistency of the microchannel by selecting appropriate process variables, including the syringe material. As a result, multiple sensors produced under the same manufacturing conditions had similar behaviors. This fabrication technique improved the accuracy of manufacturing a microchannel, and its behavior was predicted successfully by a simple mathematical model, which was confirmed by …

In this article, a real-time dynamic finger gesture recognition using a soft sensor embedded data glove is presented, which measures the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joint angles of five fingers. In the gesture recognition field, a challenging problem is that of separating meaningful dynamic gestures from a continuous data stream. Unconscious hand motions or sudden tremors, which can easily lead to segmentation ambiguity, makes this problem difficult. Furthermore, the hand shapes and speeds of users differ when performing the same dynamic gesture, and even those made by one user often vary. To solve the problem of separating meaningful dynamic gestures, we propose a deep learning-based gesture spotting algorithm that detects the start/end of a gesture sequence in a continuous data stream. The gesture spotting algorithm takes window data and estimates a scalar …

Conventional gait rehabilitation treatment does not provide quantitative information on abnormal gait kinematics, and the match of the intervention strategy to the underlying clinical presentation may be limited by clinical expertise and experience. Also the effect of rehabilitation treatment may be reduced as the rehabilitation treatment is achieved only in a clinical setting. In this paper, a mobile gait monitoring system (MGMS) is proposed for the diagnosis of abnormal gait and rehabilitation. The proposed MGMS consists of Smart Shoes and a microsignal processor with a touch screen display. It monitors patients’ gait by observing the ground reaction force (GRF) and the center of GRF, and analyzes the gait abnormality. Since visual feedback about patients’ GRFs and normal GRF patterns are provided by the MGMS, patients can practice the rehabilitation treatment by trying to follow the normal GRF patterns without …

In this paper, we developed a portable and spring-guided hand exoskeleton system for exercising flexion/extension of the fingers. The exoskeleton was designed with a simple structure to aid finger motion with one degree of freedom (DOF). The desired joint trajectory of the exoskeleton was determined based on the user joint ROM and general finger motion obtained by the hand flexion/extension experiments. The design of the linkage structure was optimized to maximally satisfy the desired trajectory. A spring attached to the structure generates the force to guide the fingers toward the desired posture when they deviate from the desired position. We used a finite element method (FEM) to analyze the transmitted moments for MCP and PIP joints. A prototype of the device was fabricated, and the performance of the system was experimentally verified. The experimental results of the finger motion indicated that the …

In this paper, a modified preview control technique is proposed to compensate packet loss in a wireless tracking control system, where future reference signals over a finite horizon can be previewed. In order to utilize future reference information for the controller design, the system model is augmented with a reference generator whose states are the future reference signals. As a response to the packet loss that occurs in the wireless network, the preview control technique is modified by employing Bernoulli variables to represent packet loss in both controller-actuator and sensor-controller channels. The Bernoulli packet loss model, along with tracking errors and control inputs, is included in a quadratic cost function, and the optimal controller gain that minimizes the cost function is obtained by dynamic programming. A modified Kalman filter considering packet loss is utilized for full-state estimation and state feedback …

Precise and large torque generation, back-drivability, low output impedance, and compactness of hardware are important requirements for human assistive robots. In this paper, a compact rotary series elastic actuator (cRSEA) is designed considering these requirements. To magnify the torque generated by an electric motor in the limited space of the compact device, a worm gear is utilized. However, the actual torque amplification ratio provided by the worm gear is different from the nominal speed reduction ratio due to friction, which makes the controller design challenging. In this paper, the friction effect is considered in the model of cRSEA, and a robust control algorithm is designed to precisely control the torque output in the presence of nonlinearities such as the friction. The mechanical design and dynamic model of the proposed device and the design of a robust control algorithm are discussed, and actuation …

Many bio-inspired robots have been developed so far after careful investigation of animals’ locomotion. To successfully apply the locomotion of natural counterparts to robots for efficient and improved mobility, it is essential to understand their principles. Although a lot of research has studied either animals’ locomotion or bio-inspired robots, there have only been a few attempts to broadly review both of them in a single article. Among the millions of animal species, this article reviewed various forms of aquatic locomotion in arthropods including relevant bio-inspired robots. Despite some previous robotics research inspired by aquatic arthropods, we found that many less-investigated or even unexplored areas are still present. Therefore, this article has been prepared to identify what types of new robotics research can be carried out after drawing inspiration from the aquatic locomotion of arthropods and to provide …

BiRC Lab

교수님 소개

배준범

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

A Fully Soft Sensing Suit With Optimal Sensor Placement for Real-Time Motion Tracking

A Fully Soft Sensing Suit With Optimal Sensor Placement for Real-Time Motion Tracking

A Semi-Active Back Assistive Exoskeleton with a Real-time Motion Classification Algorithm

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

배준범

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

A Fully Soft Sensing Suit With Optimal Sensor Placement for Real-Time Motion Tracking

A Fully Soft Sensing Suit With Optimal Sensor Placement for Real-Time Motion Tracking

A Semi-Active Back Assistive Exoskeleton with a Real-time Motion Classification Algorithm

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집