• Journal of the Korean Society of Industry Convergence
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• v.19 no.1
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• pp.39-41
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• 2016

In the paper, we propose an stable walking algorithm of biped robot on the ground and working motion stabilization algorithm against external disturbances. We propose obstacle hurdling, incline walking, and going-up stairs algorithm by using infrared sensors and F/T sensors. Also, posture stabilization algorithm against external forces is designed using F/T sensors. Infrared sensors are used to detect the obstacles in he working environment and F/T sensors are used to obtain the ZMP of biped robot. The experimental results show that the biped robot performs obstacle avoidance, obstacle hurdling, walking on the inclined plane by using the proposed walking moton stabilization algorithm.

• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.3
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• pp.143-150
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• 2012

In this paper, we introduce an intelligent quadruped walking robot that can perform stable walking and a couple of intelligent behaviors. The developed robot has two sets of ultrasonic sensors and six sets of infrared sensors and can perform obstacle avoidance by detecting obstacles and estimating the distances and directions of those obstacles. The robot also has a stereo camera and can paly soccer by detecting a ball and estimating the 3 dimensional coordinates of the ball. In performing those intelligent behaviors, the robot needs to have the capability of generating its walking patterns, solving the inverse kinematics problem, and interfacing several sensors in realtime. Therefore we designed a hierarchical controller that consists of a main controller and an auxiliary controller. The main controller is a 32-bit DSP that can perform fast floating-point opertaion and the auxiliary one is a 8-bit micro-controller. We showed that the developed quadruped walking robot successfully perform those intelligent behaviors through experiments.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.2
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• pp.23-33
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• 2021

Purpose : This study aimed to investigate the effects of dual-task training according to the variability of the walking environment on balance, gait, and function in patients with stroke. Methods : Twenty-five patients with stroke were randomly assigned to experimental group I (n=12) and experimental group II (n=13). Experimental group I and II performed obstacle and non-obstacle walking training, respectively, along with cognitive tasks for 21 minutes per session, 3 times a week for 6 weeks. Both groups received additional general physical therapy for 30 minutes per session. The functional reach test (FRT), gait analyzer (G-Walk), and functional independence measure (FIM) were used to evaluate balance, gait and function of pre- and post-interventions, respectively, while gait cadence, gait velocity, and stride length were evaluated using a gait analyzer. Results : In the within-group comparison of FRT, all the two groups showed significant post-intervention improvements (p<.05). In within-group comparison of gait cadence, all the two groups showed significant post-intervention improvements (p<.05). In within-group comparison of gait velocity, all the two groups showed significant post-intervention improvements (p<.05). In within-group comparison of stride length, experimental group I showed significant post-intervention improvements (p<.05), while experimental group II did not show significant post-intervention improvements (p>.05). In within-group comparison of FIM scores, experimental group I showed significant post-intervention improvements (p<.05), while experimental group II did not show significant post-intervention improvements (p>.05). There was a significant difference in the change of FIM scores pre- and post-intervention (p<.05) in the between-group comparison. Conclusion : The results of this study show that dual-task training with cognitive tasks and walking training can improve the balance, gait and function of patients with stroke, and obstacle walking training is effective for improving functions including activities of daily living compared to non-obstacle walking training.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.285-288
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• 2022

Objectives : This study aimed to determine whether Variability of Walking Environment Training can improve gait and balance in stroke patients. Methods : Twenty-four stroke patients are randomly assigned to experimental group 1 (n=8), experimental group 2 (n=8) and control group (n=8). Experimental group 1 performed unexpected obstacle walking training, experimental group 2 performed fixed obstacle walking training and control group performed non obstacle walking training for 12 minutes per session, 5 times a week for 4 weeks. The gait analyzer G-walk were evaluated using gait cadence, gait velocity, and stride length, balance was evaluated using FES-K and BBS. Results : In within-group comparison of gait cadence, gait velocity and stride length of change, the experimental 1,2 groups showed significant improvements post intervention (p<.05) but control group showed no significant improvement. In between-groups comparison there was significant difference in the change of gait cadence, gait velocity and stride length pre and post intervention. In within-group comparison of FES-K and BBS scores, the experimental 1,2 groups showed significant improvements post intervention (p<.05) but control group showed no significant improvement. In between-groups comparison there was significant difference in the change of FES-K and BBS scores pre and post intervention (p<.05).

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.888-891
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• 2005

In this paper, the prototype of a walking guide robot with tactile display is introduced, and the psychophysical experiment of the tactile recognition for a tactile display is carried out and analyzed. The objective of this research is the development of a walking guide robot for the blind to walk safely. A walking guide robot consists of a guide vehicle and a tactile display device. A guide vehicle, located in the front of the walking blind, detects the obstacle using ultrasonic sensors and offers the information of position and walking direction acquired from GPS module to the walking blind by voice. The tactile display device, located in the handle which is connected with the guide vehicle by cane, offers the processed obstacle information such as position, size, moving, shape of obstacle and safe path, etc. The psychophysical experiments for the threshold of perception and recognition ability of tactile stimulation are carried out by the estimation of the subject group. As a result the appropriate tactile stimulus intensity and frequency to recognize tactile stimulation effectively are discussed and derived.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.228-231
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• 2003

This paper presents the leg trajectory generation for the quadruped robot with genetic-fuzzy algorithm. To have the nobility even at uneven terrain, a robot is able to recognize obstacles, and generates moving path of body that can avoid obstacles. This robot should have its own avoidance algorithm against obstacles, forwarding to target without collision. During walking period, n robot recognizes obstacle from external environment with a PSD and some interface, and this obstacle information is converted into proper the body rotation angle by fuzzy inference engine. After this process, we can infer the walking direction and walking distance of body, and finally can generate the optimal Beg trajectory using genetic algorithm. All these methods are verified with PC simulation program, and implemented to SERO-V robot.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2492-2497
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• 2003

This paper presents optimal walking trajectory generation for a quadruped robot with genetic-fuzzy algorithm. In order to move a quadruped robot smoothly, both generations of optimal leg trajectory and free walking are required. Generally, making free walking is difficult to realize for a quadruped robot, because the patterned trajectory may interfere in the free walking. In this paper, we suggest the generation method for the leg trajectory satisfied with free walking pattern so as to avoid obstacle and walk smoothly. We generate via points of leg with respect to body motion, and then we use the genetic-fuzzy algorithm to search for the optimal via velocity and acceleration information of legs. All these methods are verified with PC simulation program, and implemented to SERO-V robot.

• Journal of the Korean Society of Physical Medicine
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• v.17 no.3
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• pp.51-58
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• 2022

PURPOSE: This study aimed to evaluate the correlation between executive function and gait evaluations for the elderly, and validate the obstacle gait evaluation as a cognitive impairment test tool. METHODS: This study was a cross-sectional design. 79 people aged 65 years or older were selected as subjects. The Korean version of the Mini-Mental State Examination (MMSE-KC) to evaluate overall cognitive function and the Trail Making Test (TMT) A, B to measure executive function were performed. The 4-meter walking speed test and the walking speed test while crossing over an obstacle were carried out to evaluate gait. The Spearman's correlation was used to measure the correlation between cognition and gait speed. RESULTS: There was no significant correlation between the 4 m gait speed and executive function( TMT-A (p = .056), TMT-B (p = .115)). However, there was a significant correlation between the 4 m gait speed and MMSE-KC (r = .277, p < .05). There was also a significant correlation between walking speed while crossing over an obstacle and all tests (MMSE-KC (r = .382, p < .01). TMT-A (r = -.327, p < .01), TMT-B (r = -.283, p < .05)). CONCLUSION: It was found that the gait speed while crossing over an obstacle was correlated with all cognitive function tests. Therefore, we suggest the use of the gait speed test while crossing over an obstacle rather than the simple gait test to diagnose cognitive decline.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.4
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• pp.448-453
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• 2012

There are many researches to develop robots that improve its mobility to adapt in various uneven environments. In the paper, a hybrid wheeled and legged mobile robot is designed and a obstacle avoidance algorithm is proposed based on low power walking using LRF(Laser Range Finder). In order to stabilize the robot's motion and reduce energy consumption, we implement a low-power walking algorithm through comparison of the current value of each motors and correction of posture balance. A low-power obstacle avoidance algorithm is proposed by using LRF sensor. We improve walking stability by distributing power consumption and reduce energy consumption by selecting a shortest navigation path of the robot. The proposed methods are verified through walking and navigation experiments with the developed hybrid robot.

• IEMEK Journal of Embedded Systems and Applications
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• v.10 no.3
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• pp.157-164
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• 2015

In this paper we propose a walking aid system for blind people by exploiting a haptic feedback equipment. The proposed system is a form of haptic feedback cane which is composed of MCU, communication module, sensing module and actuator. The proposed system recognizes obstacles around the blind by using ultrasonic sensors in the sensing module. Moreover, the system generates feedback information about the detected obstacle and then notifies the information to the blind through the actuator. The blind can notice the direction of the detected obstacle with the haptic feedback equipment and vibration motor. Futhermore, the proposed system controls a nearby IoT(Internet of Things) system by utilizing push buttons through the ZigBee communication. Finally, the blind can easily decide the direction of the obstacle without interference of terrain feature by using the proposed system.