• Title/Summary/Keyword: human-like movement

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Motion Imitation Learning and Real-time Movement Generation of Humanoid Using Evolutionary Algorithm (진화 알고리즘을 사용한 인간형 로봇의 동작 모방 학습 및 실시간 동작 생성)

  • Park, Ga-Lam;Ra, Syung-Kwon;Kim, Chang-Hwan;Song, Jae-Bok
    • Journal of Institute of Control, Robotics and Systems
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    • v.14 no.10
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    • pp.1038-1046
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    • 2008
  • This paper presents a framework to generate human-like movements of a humanoid in real time using the movement primitive database of a human. The framework consists of two processes: 1) the offline motion imitation learning based on an Evolutionary Algorithm and 2) the online motion generation of a humanoid using the database updated bγ the motion imitation teaming. For the offline process, the initial database contains the kinetic characteristics of a human, since it is full of human's captured motions. The database then develops through the proposed framework of motion teaming based on an Evolutionary Algorithm, having the kinetic characteristics of a humanoid in aspect of minimal torque or joint jerk. The humanoid generates human-like movements far a given purpose in real time by linearly interpolating the primitive motions in the developed database. The movement of catching a ball was examined in simulation.

A Study on Effects of Agent Movement on User’s Impression

  • Yamazaki, Tatsuya
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1886-1888
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    • 2002
  • Non-verbal information plays an important role not only in human-to-human communications but also in human computer interaction. In this paper, we examine effects of human-like agent's primitive movements on user's impression, where the human-like agent's primitive movements include eye, mouth, and head. SD (Semantic Differential) method was used for evaluation, and two factors were extracted as a result of the factor analysis. It is found that the first factor influenced the user's impression particularly.

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Human-like Arm Movement Planning for Humanoid Robots Using Motion Capture Database (모션캡쳐 데이터베이스를 이용한 인간형 로봇의 인간다운 팔 움직임 계획)

  • Kim, Seung-Su;Kim, Chang-Hwan;Park, Jong-Hyeon;You, Bum-Jae
    • The Journal of Korea Robotics Society
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    • v.1 no.2
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    • pp.188-196
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    • 2006
  • During the communication and interaction with a human using motions or gestures, a humanoid robot needs not only to look like a human but also to behave like a human to make sure the meanings of the motions or gestures. Among various human-like behaviors, arm motions of the humanoid robot are essential for the communication with people through motions. In this work, a mathematical representation for characterizing human arm motions is first proposed. The human arm motions are characterized by the elbow elevation angle which is determined using the position and orientation of human hands. That representation is mathematically obtained using an approximation tool, Response Surface Method (RSM). Then a method to generate human-like arm motions in real time using the proposed representation is presented. The proposed method was evaluated to generate human-like arm motions when the humanoid robot was asked to move its arms from a point to another point including the rotation of its hand. The example motion was performed using the KIST humanoid robot, MAHRU.

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Human-likeness of an Agent's Movement-Data Loci based on Realistically Limited Perception Data (제한적 인지 데이터에 기초한 에이전트 움직임-데이터 궤적의 인간다움)

  • Han, Chang-Hee;Kim, Won-Il
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.4
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    • pp.1-10
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    • 2010
  • This present paper's goal is to show a virtual human agent's movement-data loci based on realistically limited perception data is human-like. To determine human-likeness of the movement-data loci, we consider interactions between two parameters: Realistically Limited Perception (RLP) data and Incremental Movement-Path data Generation (IMPG). That is to consider how the former (i.e., RLP), one of the simulated parameters of human thought or its elements dictates the latter (i.e., IMPG), one of the simulated parameters of human movement behavior. Mapping DB is a prerequisite for navigation in an agent system because it functions as an interface between perception and movement behavior. Although Hill et al. studied mapping DB methodology based on RLP, their research dealt only with a rendering camera's view point data. The agent system in this present paper was integrated with the Hill's mapping DB module and then the two parameters' interaction was considered on a military reconnaissance mission with unexpected enemy emergence. Movement loci that were generated by the agent and subjects were compared with each other. The agent system in this present research verifies that it can be a functional test bed for producing human-like movement-data loci although the human-likeness of agent is the result of a pilot test, determined by two parameters (RLP and IMPG) and only 30 subjects.

Generation Human -like Arm Motion to Catch a Moving Object

  • Kwon, Oh-Kyu;Park, Poo-Gyeon
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.161.5-161
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    • 2001
  • Robots are required to assist our activities in daily life. In this paper, we focus on arm movement to catch moving object as one of important tasks frequently performed by human. We propose an algorithm which enables a robot to perform human-like arm motion to catch a moving object. First we analyze human hand trajectories and velocity profiles to catch an object. From the experimental results, we extract some characteristics in the process of approaching and following a moving object and confirm that these are necessary to realize human-like motion. We then adopt an instantaneous optimal control method which evaluates the error and energy cost at each sampling step, and design two time-varying weight matrices to introduce human characteristic into robot motion. The matrix concerning the error is defined as a time-increasing ...

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Hand Reaching Movement Acquired through Reinforcement Learning

  • Shibata, Katsunari;Sugisaka, Masanori;Ito, Koji
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.474-474
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    • 2000
  • This paper shows that a system with two-link arm can obtain hand reaching movement to a target object projected on a visual sensor by reinforcement learning using a layered neural network. The reinforcement signal, which is an only signal from the environment, is given to the system only when the hand reaches the target object. The neural network computes two joint torques from visual sensory signals, joint angles, and joint angular velocities considering the urn dynamics. It is known that the trajectory of the voluntary movement o( human hand reaching is almost straight, and the hand velocity changes like bell-shape. Although there are some exceptions, the properties of the trajectories obtained by the reinforcement learning are somewhat similar to the experimental result of the human hand reaching movement.

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Study of Mutual Understanding and Human Body (몸과 소통에 관한 연구)

  • Chough, Won-Joon;Kim, Yeong-Mok
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.21 no.4
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    • pp.822-834
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    • 2007
  • This study searched the philosophical and medical thought of mutual understanding and human body. Mutual understanding is a fundamental problem in all branches of oriental studies. In other words, mutual understanding becomes the existential foundation of heaven-earth-human(三才). So human beings, heaven and the earth can't exist if there is no mutual understanding. It comes out the problem of self-consciousness in philosophy, and qi movement pattern like upward, downward, inward and outward movement in traditional korean medicine. Human beings have mutual understandings with heaven and the earth from a macroscopic standpoint, on the other side the human body from a microscopic standpoint. Qi movement is the mutual understanding and response of qi in human body, so with which the physiological functions and pathologic changes of viscera and bowels comes out. Therefore we want to present how to complete qi movement between viscera-bowels and organs to examine mutual understandings in human body closely. The results was summarized as follows; First, upbearing the clear yang and down bearing the turbid yin of spleen-stomach is main pivot of upward and downward of qi movement, and it is true form of mutual understandings between viscera and bowels, so upward, downward, inward and outward movement of whole viscera and bowels can be controlled by spleen-stomach. Second, by restraining relationships between downward heart fire and upward kidney water, heart fire and kidney water have close communications physiologically and pathologically as upper-lower, yin-yang and water-fire. Third, by restraining relationships between upbearing and effusion of liver and purification and down-sending of lung, liver and lung are outer circles of upward and downward movement, so they have antagonistic functions. Firth, by the relationships between upbearing the clear and down bearing the turbid of spleen-stomach and free coursing of liver, free coursing of liver-gallbladder is the essential requirement that it certify transportation and transformation of spleen-earth, so the disease of liver-gallbladder induce spleen-stomach disease pattern to affect its function of transportation and transformation. Fifth, by spleen and kidney, spleen yang is based on kidney yang, so the weakness of kidney yang can affect the function of transportation and transformation of spleen-stomach as it can't warm spleen earth. Sixth, by homogeny of liver-kidney, essence and blood of liver-kidney and ministerial fire of liver-kidney have mutal generation and limitation physiologically and they mutually are affected in pathologically.

A Study on the Optimum Refuge Path Algorithm in Multiplex Building using the Human Movement Detection System (인간이동 감지기술을 활용한 다중이용건축물에서의 최적피난경로 알고리즘의 연구)

  • Kim, Eun-Sung;Kim, Young-Suk;Kim, Jae-Jun
    • Journal of The Korean Digital Architecture Interior Association
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    • v.8 no.2
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    • pp.13-20
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    • 2008
  • As buildings have been constructed higher and more complicated recently, the activities of the residents occurred in those multiplex buildings have also become more various. As a result, possibility and the size of the damage from the disaster like a fire are getting larger. So, many studies for preventing the damage in refuge situation are being conducted. In this study, a new process for finding the optimum refuge path is presented, which is different from existing methods. This new method operates by using the human movement detection system in the building for real time. And the process also shows the new way which can shorten the number of calculation for deciding the optimum refuge path. That new way is to make variables such as the velocity of smoke and person movement into a constant. Finally it will be applied to a multiplex building.

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Research for the influence of body movement on the space occupation - Focusing on the GSD - (몸 움직임이 공간구축에 미친 영향에 관한 연구 - 감성공간디자인(GSD)를 중심으로 -)

  • Kim, Yeon-Joung;Oh, Young-Keun
    • Korean Institute of Interior Design Journal
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    • v.18 no.6
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    • pp.124-132
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    • 2009
  • Recently, 'Emotion' has attracted public attention socially and continuously in the fields such as construction, environment, design and products. Also, phenomenological concept of space through the physique in the viewpoint of the human-oriented aspect, namely, body, has been managed as a planned measure suitable for a new era and space. In this study, the author examined and analyzed the verbs and emotional vocabulary about the human body's behavior. The phenomenological space conception through body, i.e, flesh in this human centered point of view is being treated as the suitable planning measure on the new era and space. Though the epochal issue for Emotion is being attempted in many ways in various field such as product and marketing, the approach through the relationship between human and space. Therefore, we would like to see how the Emotion related to the movement that occurs in the space by analyzing the human body movement which is the subject of experiencing the space experimentally and research the characteristic of Emotion and space movement. SPSS 12.0 was used for the analysis to perform the analysis of basic statistics and Factor Analysis, and then to analyze the characteristic and emotional attribute for the experimental analysis. Comparing the activity for the 2 groups' behavior through the analyzed result with the test, active behavior was found to be higher than inactive behavior in the emotional value, and their bodies' motion showed averagely positive value in the emotional aspect; their bodies' motion was presented differently according to the attributes and amount of the people who would experience a specific space. However, the author found that affirmative and active behavior showed emotional aspect more than inactive behavior.

Human-like Whole Body Motion Generation of Humanoid Based on Simplified Human Model (단순인체모델 기반 휴머노이드의 인간형 전신동작 생성)

  • Kim, Chang-Hwan;Kim, Seung-Su;Ra, Syung-Kwon;You, Bum-Jae
    • The Journal of Korea Robotics Society
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    • v.3 no.4
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    • pp.287-299
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    • 2008
  • People have expected a humanoid robot to move as naturally as a human being does. The natural movements of humanoid robot may provide people with safer physical services and communicate with persons through motions more correctly. This work presented a methodology to generate the natural motions for a humanoid robot, which are converted from human motion capture data. The methodology produces not only kinematically mapped motions but dynamically mapped ones. The kinematical mapping reflects the human-likeness in the converted motions, while the dynamical mapping could ensure the movement stability of whole body motions of a humanoid robot. The methodology consists of three processes: (a) Human modeling, (b) Kinematic mapping and (c) Dynamic mapping. The human modeling based on optimization gives the ZMP (Zero Moment Point) and COM (Center of Mass) time trajectories of an actor. Those trajectories are modified for a humanoid robot through the kinematic mapping. In addition to modifying the ZMP and COM trajectories, the lower body (pelvis and legs) motion of the actor is then scaled kinematically and converted to the motion available to the humanoid robot considering dynamical aspects. The KIST humanoid robot, Mahru, imitated a dancing motion to evaluate the methodology, showing the good agreement in the motion.

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