• 전기학회논문지P
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• 제56권4호
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• pp.161-167
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• 2007

This paper introduces a dynamic walking control of biped walking robot using intelligent sensor interface and shows an intelligent control method for biped walking robot. For the dynamic walking control of biped walking robot, serious motion controllers are used. They are main controller(using INTEL80C296SA MPU), sub controller(using TMS320LF2406 DSP), sensor controller(using Atmega128 MPU) etc. The used sensors are gyro sensor, tilt sensor, infrared sensor, FSR sensor etc. For the feasibility of a dynamic walking control of biped walking robot, we use the biped walking robot which has twenty-five degrees of freedom(D.O.F.) in total. Our biped robot is composed of two legs of six D.O.F. each, two arms of five D.O.F. each, a waist of two D.O.F., a head of one D.O.F.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권2호
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• pp.100-105
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• 2013

In this study, we analyze the balance of quadruped walking robots. For this purpose, a simplified polygonal model of a quadruped walking configuration is considered. A boundary-range-based balance margin is used for determining the system stability of the polygonal walking configuration considered herein. The balance margin enables the estimation of the walking configuration's balance for effective walking. The usefulness of the balance margin is demonstrated through exemplary simulations. Furthermore, balance compensation by means of foot stepping is addressed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 D
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• pp.1977-1978
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• 2006

This paper discusses the method of vision based sensor fusion system for biped robot walking. Most researches on biped walking robot have mostly focused on walking algorithm itself. However, developing vision systems for biped walking robot is an important and urgent issue since biped walking robots are ultimately developed not only for researches but to be utilized in real life. In the research, systems for environment recognition and tele-operation have been developed for task assignment and execution of biped robot as well as for human robot interaction (HRI) system. For carrying out certain tasks, an object tracking system using modified optical flow algorithm and obstacle recognition system using enhanced template matching and hierarchical support vector machine algorithm by wireless vision camera are implemented with sensor fusion system using other sensors installed in a biped walking robot. Also systems for robot manipulating and communication with user have been developed for robot.

• 제어로봇시스템학회논문지
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• 제13권4호
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• pp.358-364
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• 2007

Intelligent walking modeling of humanoid robot using learning based neuro-fuzzy system is presented in this paper. Walking pattern, trajectory of the zero moment point (ZMP) in a humanoid robot is used as an important criterion for the balance of the walking robots but its complex dynamics makes robot control difficult. In addition, it is difficult to generate stable and natural walking motion for a robot. To handle these difficulties and explain empirical laws of the humanoid robot, we are modeling practical humanoid robot using neuro-fuzzy system based on the two types of natural motions which are walking trajectories on a t1at floor and on an ascent. Learning based neuro-fuzzy system employed has good learning capability and computational performance. The results from neuro-fuzzy system are compared with previous approach.

• 대한임베디드공학회논문지
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• 제7권3호
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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.

• 한국정밀공학회지
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• 제25권7호
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• pp.79-86
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• 2008

This paper describes the development of wearing intelligent shoe system to measure applied forces and moments (ground reaction forces and moments) on the soles of feet during human walking. In order to walk safely, robot must get the intelligent feet with 6-axis force/moment sensors (Fx sensor (x-direction force sensor), Fy sensor, Fz sensor, Mx sensor (Mx : x-direction moment sensor), My sensor, and Mz sensor) and detect the forces and moments data from the sensors. And the feet must be controlled with the data and controllers. While a human is walking, the forces and moments should be measured and analyzed for robot's intelligent feet. Therefore, the wearing intelligent shoe system should be developed. In this paper, four 6-axis farce/moment sensors and two high speed measuring devices were designed and fabricated, and the wearing intelligent shoe system was made using these. The characteristic tests of the wearing intelligent shoe system were performed, and the forces and moments were detected using it.

• 한국산업융합학회 논문집
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• 제18권4호
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• pp.224-230
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• 2015

In this paper, it is presented a learning controller for repetitive walking control of biped walking robot. We propose the iterative learning control algorithm which can learn periodic nonlinear load change ocuured due to the walking period through the intelligent control, not calculating the complex dynamics of walking robot. The learning control scheme consists of a feedforward learning rule and linear feedback control input for stabilization of learning system. The feasibility of intelligent control to biped robotic motion is shown via dynamic simulation with 25-DOF biped walking robot.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.125-128
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• 2001

This paper explains the walking robot with 4 legs. One leg is composed of 4 dc server motors and have 4 d.o.f. This walking robot has simple structure using the principle of lever. The structure of robot models the 4 legs animal such as dog. The walking patterns is various and complex. With Inspecting the walking dogs, the walking motions implemented by patterns. The center of mass is important of this type robot. The significant issue of walking is weight. As the weight is lighter, so the robot well walks. The method of walking is patterns.

• 한국지능시스템학회논문지
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• 제13권6호
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• pp.686-691
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• 2003

인간의 작업을 보조 혹은 대신하기 위해서 인간과 흡사한 이족보행로봇에 대한 연구가 많이 진행되고 있다. 이족보행로봇이 인간을 대신해서 작업을 하기 위해서는 작업공간에서의 자유로운 이동과 장애물 대처능력은 반드시 필요한 기능이다. 본 논문에서는 안정된 정적보행 및 장애물을 지능적으로 대처하는 이족보행로봇의 보행알고리즘을 제안하였다. 먼저 장애물 대처 가능한 이족보행로봇의 기구 설계 및 원격제어 가능한 제어시스템 구현에 대하여 설명하고, 인간의 보행분석 결과를 바탕으로 정적보행 알고리즘을 제안하였다. 또한 발에 부착된 적외선센서로 장애물을 인식하여 장애물의 형태에 따라 좌우 회전 및 옆 걸음을 통한 장애물 회피알고리즘, 거리보정 알고리즘을 사용한 장애물 넘어가기 알고리즘을 제안하였다. 제안한 보행알고리즘들은 이족보행로봇을 실제 제작하여 다양한 작업환경에서 실험으로 성능을 검증하였다.

• 한국지능시스템학회논문지
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• 제19권5호
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• pp.622-628
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• 2009

다족로봇이 보행하기 위해서는 기본적으로 어떤 보행 패턴의 설정이 필요하다. 이러한 관점에서 어떤 보행 패턴이 효과적인 다족 보행을 가능하게 할 것인지를 분석하기 위하여 본 논문은 네 개의 다리를 이용하는 4족 보행 로봇 모델을 고려하며, 보행 순간마다 지지판에 의해 형성되는 지시다각형의 중심경로를 기반으로 보행 밸런스를 분석한다. 또한, 다족 로봇의 보행 밸런스를 평가하기 위한 성능지수를 제안한다. 시뮬레이션을 통하여, 4족 로봇의 보행에서 지지다각형의 중심 경로와 보행 밸런스는 사용된 보행 패턴에 따라 다르다는 사실을 보인다. 결과적으로, 보행 밸런스 지수와 생체모방 관점으로부터 4족 로봇의 보행을 위하여 유용한 보행 패턴을 제시한다.