• 제목/요약/키워드: 양팔 로봇

검색결과 31건 처리시간 0.019초

산업용 양팔로봇을 이용한 공연 예술 구현 사례 (Examples of Art Performing with Industrial Dual-arm Robots)

  • 최태용;도현민;박동일;박찬훈;경진호;김두형
    • 로봇학회논문지
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    • 제11권4호
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    • pp.293-299
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    • 2016
  • In this article art performing applications of industrial dual-arm robots are introduced. It was real collaboration among robot researchers and artist. Artist designed the performance to use dual-arm robot. Robot researchers collaborated with artist by providing robotic constraints and configuring robot motion. Two art performances were configured with two industrial dual-arm robots. In both performance robots carry objects to be used as moving screens. Both performances rely on the high power and high precision of robots. In addition human-like appearance make those performances be familiar to public.

직접교시에 의한 직관적인 양팔로봇 작업 생성 (Intuitive Programming of Dual-Arm Robot Tasks using Kinesthetic Teaching Method)

  • 김기현;박현준;배지훈;박재한;이동혁;박재흥;경진호;백문홍
    • 제어로봇시스템학회논문지
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    • 제22권8호
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    • pp.656-664
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    • 2016
  • While anthropomorphic robots are gaining interest, dual-arm robots are widely used in the industrial environment. Many methods exist in order to implement bimanual tasks by dual-arm robot. However, kinesthetic teaching is used in this paper. This paper suggests three different kinesthetic teaching methods that can implement most of the human task by the robot. The three kinesthetic teaching methods are joint level, task level, and contact level teaching. The task introduced in this paper is box packing, which is a popular and complex task in industrial environment. The task is programmed into the dual-arm robot by utilizing the suggested kinesthetic teaching method, and this paper claims that most tasks can be implemented by using the suggesting kinesthetic teaching methods.

두 개의 산업용 양팔로봇간의 실시간 동기화 방법 (Real-time Synchronization Between Two Industrial Dual-arm Robots)

  • 최태용;경진호;도현민;박찬훈;박동일
    • 제어로봇시스템학회논문지
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    • 제22권12호
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    • pp.1027-1033
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    • 2016
  • There is an increasing need for manufacturing systems to produce batches in small quantities. Such manufacturing systems are significantly difficult to develop with conventional automation equipment. Recently, several research groups have applied industrial dual-arm robots to cell production lines. A synchronization method for robots is necessary for the cell production process when robots work in a shared workspace. Conventional automation factories do not need this method because the main control system operates all of the machines or robots. However, our intended application for the developed robot is in small manufacturing environments that cannot install an expensive main control system. We propose an inexpensive and high-performance method with a simple digital in/out channel using a real-time communication protocol. The developed method was validated in a pilot production line for cellular phone packing.

산업용 코일 포장을 위한 협동 양팔 로봇 시스템의 개발 (Development of Collaborative Dual Manipulator System for Packaging Industrial Coils)

  • 이해성;이용희;박재흥
    • 로봇학회논문지
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    • 제19권3호
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    • pp.236-243
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    • 2024
  • This paper introduces a dual manipulator system designed to automate the packaging process of industrial coils, which exhibit higher variability than other structured industrial fields due to diverse commercial requirements. The conventional solution involves the direct-teaching method, where an operator instructs the robot on a target configuration. However, this method has distinct limitations, such as low flexibility in dealing with varied sizes and safety concerns for the operators handling large products. In this sense, this paper proposes a two-step approach for coil packaging: motion planning and assembly execution. The motion planning includes a Rapidly-exploring Random Tree algorithm and a smoothing method, allowing the robot to reach the target configuration. In the assembly execution, the packaging is considered a peg-in-hole assembly. Unlike typical peg-in-hole assembly handling two workpieces, the packaging includes three workpieces (e.g., coil, inner ring, side plate). To address this assembly, the paper suggests a suitable strategy for dual manipulation. Finally, the validity of the proposed system is demonstrated through experiments with three different sizes of coils, replicating real-world packaging situations.

힘과 위치를 동시에 고려한 양팔 물체 조작 솜씨의 모방학습 (Imitation Learning of Bimanual Manipulation Skills Considering Both Position and Force Trajectory)

  • 권우영;하대근;서일홍
    • 로봇학회논문지
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    • 제8권1호
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    • pp.20-28
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    • 2013
  • Large workspace and strong grasping force are required when a robot manipulates big and/or heavy objects. In that situation, bimanual manipulation is more useful than unimanual manipulation. However, the control of both hands to manipulate an object requires a more complex model compared to unimanual manipulation. Learning by human demonstration is a useful technique for a robot to learn a model. In this paper, we propose an imitation learning method of bimanual object manipulation by human demonstrations. For robust imitation of bimanual object manipulation, movement trajectories of two hands are encoded as a movement trajectory of the object and a force trajectory to grasp the object. The movement trajectory of the object is modeled by using the framework of dynamic movement primitives, which represent demonstrated movements with a set of goal-directed dynamic equations. The force trajectory to grasp an object is also modeled as a dynamic equation with an adjustable force term. These equations have an adjustable force term, where locally weighted regression and multiple linear regression methods are employed, to imitate complex non-linear movements of human demonstrations. In order to show the effectiveness our proposed method, a movement skill of pick-and-place in simulation environment is shown.

DDPG 알고리즘을 이용한 양팔 매니퓰레이터의 협동작업 경로상의 특이점 회피 경로 계획 (Singularity Avoidance Path Planning on Cooperative Task of Dual Manipulator Using DDPG Algorithm)

  • 이종학;김경수;김윤재;이장명
    • 로봇학회논문지
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    • 제16권2호
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    • pp.137-146
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    • 2021
  • When controlling manipulator, degree of freedom is lost in singularity so specific joint velocity does not propagate to the end effector. In addition, control problem occurs because jacobian inverse matrix can not be calculated. To avoid singularity, we apply Deep Deterministic Policy Gradient(DDPG), algorithm of reinforcement learning that rewards behavior according to actions then determines high-reward actions in simulation. DDPG uses off-policy that uses 𝝐-greedy policy for selecting action of current time step and greed policy for the next step. In the simulation, learning is given by negative reward when moving near singulairty, and positive reward when moving away from the singularity and moving to target point. The reward equation consists of distance to target point and singularity, manipulability, and arrival flag. Dual arm manipulators hold long rod at the same time and conduct experiments to avoid singularity by simulated path. In the learning process, if object to be avoided is set as a space rather than point, it is expected that avoidance of obstacles will be possible in future research.

물체의 효율적인 이송을 위한 양팔 로봇의 최적 자세 (Optimization of Dual-arm Configurations for Efficient Handling of Objects)

  • 박치성;하현욱;손준배;이장명
    • 로봇학회논문지
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    • 제6권2호
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    • pp.130-140
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    • 2011
  • This paper proposes an optimal posture for the task-oriented movement of dual arm manipulator. A stability criterion function which consists of three kinds of feature-representative parameters has been utilized to define the optimal posture. The first parameter is the force which is applied to the object. The torque of each joint and position of arm are attained from the current sensor and encoder, respectively. From these two data, the applied force to an object is estimated using sum of vectors of the joint torques estimated from the measured current. In order to investigate the robustness of each posture, the variation of the end-effector from the encoder information has been utilized as the second parameter. And for the last parameter for the optimality, the total energy consumption has been used. The total consuming energy of each posture can be computed from the current information and the battery voltage. The proposed robot structure consists of a mobile inverted pendulum and dual manipulators. In order to define the optimal posture for the each object, external disturbances are applied to the mobile inverted pendulum robot and the first and second parameters are investigated to find the optimal posture among the pre-selected most representative postures. Finally, the proposed optimal posture has been verified by the proposed stability criterion function which consists of total force to the object, the fluctuation of the end-effector position, and total energy consumption. The effectiveness of the proposed algorithms has been verified and demonstrated through the practical simulations and real experiments.

임무에 따른 하박 교체형 고 가반하중 양팔로봇의 설계: 구난 및 물체 핸들링 (Design of High Payload Dual Arm Robot with Replaceable Forearm Module for Multiple Tasks: Human Rescue and Object Handling)

  • 김휘수;박동일;최태용;도현민;김두형;경진호;박찬훈
    • 로봇학회논문지
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    • 제12권4호
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    • pp.441-447
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    • 2017
  • Robot arms are being increasingly used in various fields with special attention given to unmanned systems. In this research, we developed a high payload dual-arm robot, in which the forearm module is replaceable to meet the assigned task, such as object handling or lifting humans in a rescue operation. With each forearm module specialized for an assigned task (e.g. safety for rescue and redundant joints for object handling task), the robot can conduct various tasks more effectively than could be done previously. In this paper, the design of the high payload dual-arm robot with replaceable forearm function is described in detail. Two forearms are developed here. Each of forearm has quite a different goal. One of the forearms is specialized for human rescue in human familiar flat aspect and compliance parts. Other is for general heavy objects, more than 30 kg, handling with high degree of freedom more than 7.

고령층 근로자들을 위한 팔꿈치 착용형 로봇의 개발 (Development of Elbow Wearable Robot for Elderly Workers)

  • 이석훈;이시행;김정엽
    • 대한기계학회논문집A
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    • 제39권6호
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    • pp.617-624
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    • 2015
  • 본 논문은 고령화되는 현대 사회에서 고령층 근로자들의 팔꿈치 근력 보조를 위한 웨어러블 로봇의 개발에 대해서 서술하였다. 기존에 연구 개발된 다양한 웨어러블 로봇들은 착용자가 사용하기에 가격, 휴대성 측면 뿐만 아니라 느린 착용자 의도 파악에 단점들이 있어왔다. 본 논문에서는 이러한 문제들을 최소화하기 위해 다음과 같은 특징을 강조하였다. 첫째, 양팔 작업 시 가장 많은 모멘트를 받는 팔꿈치 관절에만 구동기를 부착하여 무게와 부피 및 가격을 줄이고 실용성을 높였다. 둘째, 웨어러블 로봇의 작동을 추종 모드와 근력 증강 모드로 나누고, 본 연구에서 개발한 상박 근력 측정 장치로부터 착용자의 의지를 실시간 파악하여 모드가 자동적으로 전환 될 수 있도록 하였다. 이로부터 빠른 착용자 의도 파악과 동작 전환이 가능하도록 하였다. 개발된 로봇을 이용하여 무 부하 시 착용자의 모션 추종 성능을 측정하고, 부하 시 EMG (Electromyography) 센서로부터 상박의 근력을 측정함으로써 착용자의 근력 보조 성능을 실험적으로 입증하였다. 결과적으로, 초당 120 도의 모션 추종 성능과 60% 이상의 근력 보조 성능을 얻을 수 있었다.

복수의 양팔로봇을 적용한 휴대폰 셀 생산시스템의 자동화 (Automation of Cell Production System for Cellular Phones based on Multi-dual-arm Robots)

  • 도현민;김두형;경진호
    • 한국생산제조학회지
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    • 제23권6호
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    • pp.580-589
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    • 2014
  • Demands for automation in the cell production process of IT products are becoming increasingly sophisticated. In particular, the dual-arm robot has drawn attention as a solution because it has a flexibility and works similarly to humans. In this paper, we propose an automation system for cellular phone packing processes using two dual-arm robots. Applied robots are designed with specifications to meet the requirements of cellular phone packing jobs. In addition, a robotic cell production system is proposed by applying a method of task allocation for efficient packing of cellular phones. Specifically, a task is assigned to reduce takt-time and to avoid collision between two robots. Finally, we discuss some experimental results that include the packing job of five unit boxes with seven kinds of accessories.