• 제목/요약/키워드: humanoid robot

검색결과 336건 처리시간 0.033초

Optimal Trajectory Modeling of Humanoid Robot for Argentina Tango Walking

  • Ahn, Doo-Sung
    • 동력기계공학회지
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    • 제21권5호
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    • pp.41-47
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    • 2017
  • To implement Argentina tango dancer-like walking of the humanoid robot, a new trajectory generation scheme based on particle swarm optimization of the blending polynomial is presented. Firstly, the characteristics of Argentina tango walking are derived from observation of tango dance. Secondly, these are reflected in walking pose conditions and cost functions of particle swarm optimization to determine the coefficients of blending polynomial. For the stability of biped walking, zero moment point and reference trajectory of swing foot are also included in cost function. Thirdly, after tango walking cycle is divided into 3 stages with 2 postures, optimal trajectories of ankles, knees and hip of lower body, which include 6 sagittal and 4 coronal angles, are derived in consequence of optimization. Finally, the feasibility of the proposed scheme is validated by simulating biped walking of humanoid robot with derived trajectories under the 3D Simscape environment.

Real-time Footstep Planning and Following for Navigation of Humanoid Robots

  • Hong, Young-Dae
    • Journal of Electrical Engineering and Technology
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    • 제10권5호
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    • pp.2142-2148
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    • 2015
  • This paper proposes novel real-time footstep planning and following methods for the navigation of humanoid robots. A footstep command is defined by a walking direction and step lengths for footstep planning. The walking direction is determined by a uni-vector field navigation method, and the allowable yawing range caused by hardware limitation is considered. The lateral step length is determined to avoid collisions between the two legs while walking. The sagittal step length is modified by a binary search algorithm when collision occurs between the robot body and obstacles in a narrow space. If the robot body still collides with obstacles despite the modification of the sagittal step length, the lateral step length is shifted at the next footstep. For footstep following, a walking pattern generator based on a 3-D linear inverted pendulum model is utilized, which can generate modifiable walking patterns using the zero-moment point variation scheme. Therefore, it enables a humanoid robot to follow the footstep command planned for each footstep. The effectiveness of the proposed method is verified through simulation and experiment.

Real-time Message Network System for a Humanoid Robot

  • Ahn, Sang-Min;Gong, Jung-Sik;Lee, Bo-Hee;Kim, Jin-Geol;Huh, Uk-Youl
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.2296-2300
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    • 2005
  • This paper deals with the real-time message network system by a CAN (controller area network) based on the real-time distributed control scheme to integrate actuators and sensors in a humanoid robot. In order to apply the real-time distributed processing for a humanoid robot, each control unit should have the real-time efficient control method, fast sensing method, fast calculation and real-time valid data exchange method. Moreover, the data from sensors and encoders must be transmitted to the higher level of control units in maximum time limit. This paper describes the real-time message network system design and the performance of the system.

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다관절 휴머노이드 상체 로봇의 제어를 위한 신경망 보상 퍼지 제어기 구현 및 실험 (Experimental Studies of a Fuzzy Controller Compensated by Neural Network for Humanoid Robot Arms)

  • 송덕희;노진석;정슬
    • 제어로봇시스템학회논문지
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    • 제13권7호
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    • pp.671-676
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    • 2007
  • In this paper, a novel neuro-fuzzy controller is presented. The generic fuzzy controller is compensated by a neural network controller so that an overall control structure forms a neuro-fuzzy controller. The proposed neuro-fuzzy controller solves the difficulty of selecting optimal fuzzy rules by providing the similar effect of modifying fuzzy rules simply by changing crisp input values. The performance of the proposed controller is tested by controlling humanoid robot arms. The humanoid robot arm is analyzed and implemented. Experimental studies have shown that the performance of the proposed controller is better than that of a PID controller and of a generic fuzzy PD controller.

휴먼 로봇의 원경조종용 마스터 암$^+$ 개발에 관한 연구 (Masterarm $^+$ Development for Teleoperation of a Humanoid Robot)

  • 김윤상;이장욱;이수용;김문상;이종원
    • 대한전기학회논문지:시스템및제어부문D
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    • 제50권6호
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    • pp.283-294
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    • 2001
  • In this paper, a masterarm for teleoperation of humanoid robot is presented. This masterarm is based human kinematics, which not only mimics human posture/motion completely, but also has wider work range. In addition, by using the distributed controller architecture and electric brake for force reflection, small size and lightweight of the device can be achieved. Some size and lightweight of the device can be achieved. Some important experiments integrated with the humanoid robot, CENTAUR developed by KIST(Korea Institute of Science and Technology), are conducted to evaluate the performance of the proposed masterarm.

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유압식 이족 휴머노이드 로봇의 경사면 보행 연구 (Biped Walking of Hydraulic Humanoid Robot on Inclined Floors)

  • 김정엽
    • 제어로봇시스템학회논문지
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    • 제18권3호
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    • pp.258-266
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    • 2012
  • This paper describes a biped walking algorithm for a hydraulic humanoid robot on inclined floors. To realize stable and robust biped walking, the walking algorithm was divided into five control strategies. The first is a joint position control strategy. This strategy is for tracking desired joint position trajectories with a gain switching. The second is a multi-model based ZMP (Zero Moment Point) control strategy for dynamic balance. The third is a walking pattern flow control strategy for smooth transition from step to step. The fourth is an ankle compliance control, which increases the dynamic stability at the moment of floor contact. The last is an upright pose control strategy for robust walking on an inclined floor. All strategies are based on simple pendulum models and include practical sensory feedback in order to implement the strategies on a physical robot. Finally, the performance of the control strategies are evaluated and verified through dynamic simulations of a hydraulic humanoid on level and inclined floors.

PSO를 이용한 휴머노이드 로봇의 최적자세 생성 (Posture Optimization for a Humanoid Robot using Particle Swarm Optimization)

  • 윤재훈;당 반 치엔;트란 트렁 틴;김종욱
    • 한국지능시스템학회논문지
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    • 제24권4호
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    • pp.450-456
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    • 2014
  • 휴머노이드 로봇은 인간-로봇 상호작용에 가장 효과적인 로봇 플랫폼이지만 20개 이상의 관절로 구성되어 있을 만큼 복잡한 구조여서 전통적인 역기구학적 방법으로 안정되면서도 정교한 자세를 생성하기가 어렵다. 본 논문에서는 고속 연산최적화 기법인 Particle Swarm Optimization 기법을 사용해서 앞쪽 지면에 놓인 물체를 단측지지 상태로 상체를 굽혀서 왼팔이나 오른팔로 집는 고난도의 자세를 생성하고, 이를 상용 휴머노이드 로봇 플랫폼에 적용하여 검증함으로써 제안 된 방법의 적용 가능성을 확인한다.

인간형 로봇을 위한 6축 힘/모멘트센서 개발 (Development of 6-axis force/moment sensor for a humonoid robot)

  • 김갑순;신희준
    • 센서학회지
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    • 제16권3호
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    • pp.211-219
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    • 2007
  • This paper describes the development of 6-axis force/moment sensor for a humanoid robot. In order to walk on uneven terrain safely, the robot's foot should perceive the applied forces Fx, Fy, Fz and moments Mx, My, Mz to itself, and be controlled by the foot using the forces and moments. Also, in order to grasp unknown object safely, the robot's hand should perceive the weight of the object using the mounted 6-axis force/moment sensor to its wrist, and be controlled by the hand using the forces and moments. Therefore, 6-axis force/moment sensor should be necessary for a humanoid robot's hand and foot. In this paper, 6-axis force/moment sensor for a humanoid robot was developed using many PPBs (parallel plate-beams). The structure of the sensor was newly modeled, and the sensing element of the sensor was designed using theoretical analysis. Then, 6-axis force/moment sensor was fabricated by attaching strain-gages on the sensing elements, and the characteristic test of the developed sensor was carried out. The rated outputs from theoretical analysis agree well with the results from the experiments.

휴머노이드 로봇의 경사면 내리막 보행을 위한 지능보행 연구 (Intelligent Walking of Humanoid Robot for Stable Walking on a Decent)

  • 김동원;박귀태
    • 로봇학회논문지
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    • 제1권2호
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    • pp.197-202
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    • 2006
  • We present the synergy effect of humanoid robot walking down on a slope and support vector machines in this paper. The biped robot architecture is highly suitable for the working in the human environment due to its advantages in obstacle avoidance and ability to be employed as human substitutes. But the complex dynamics in the robot and ground makes robot control difficult. The trajectory of the zero moment point (ZMP) in a biped walking robot is an important criterion used for the balance of the walking robots. The ZMP trajectory as dynamic stability of motion will be handled by support vector machines (SVM). Three kinds of kernels are also employed, and each result from these kernels is compared to one another.

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