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    양팔 로봇의 협조제어를 위한 최적 경로 설계 = Optimal path planning for cooperative control of dual-arm robot

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    https://www.riss.kr/link?id=T12043153

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This paper proposes a cooperative control algorithm for a dual-arm robot which is carrying an object to the desired location. When the dual-arms robot is carrying an object from the start to the goal point, the optimal path in terms of safety, energy, and time needs to be selected among the numerous possible paths. In order to quantify the carrying efficiency of dual-arms, DAMM (Dual Arm Manipulability Measure) has been defined and applied for the decision of the optimal path. The DAMM is defined as the intersection of the manipulability ellipsoids of the dual-arms, while the manipulability measure indicates a relationship between the joint velocity and the Cartesian velocity for each arm. The cost function for achieving the optimal path is defined as the summation of the distance to the goal and inverse of this DAMM, which aims to generate the efficient motion to the goal. It is confirmed that the optimal path planning keeps higher manipulability through the short distance path by using computer simulation. To show the effectiveness of this cooperative control algorithm experimentally, a 5-DOF dual-arm robot with distributed controllers for synchronization control has been developed and used for the experiments.
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    This paper proposes a cooperative control algorithm for a dual-arm robot which is carrying an object to the desired location. When the dual-arms robot is carrying an object from the start to the goal point, the optimal path in terms of safety, energy,...

    This paper proposes a cooperative control algorithm for a dual-arm robot which is carrying an object to the desired location. When the dual-arms robot is carrying an object from the start to the goal point, the optimal path in terms of safety, energy, and time needs to be selected among the numerous possible paths. In order to quantify the carrying efficiency of dual-arms, DAMM (Dual Arm Manipulability Measure) has been defined and applied for the decision of the optimal path. The DAMM is defined as the intersection of the manipulability ellipsoids of the dual-arms, while the manipulability measure indicates a relationship between the joint velocity and the Cartesian velocity for each arm. The cost function for achieving the optimal path is defined as the summation of the distance to the goal and inverse of this DAMM, which aims to generate the efficient motion to the goal. It is confirmed that the optimal path planning keeps higher manipulability through the short distance path by using computer simulation. To show the effectiveness of this cooperative control algorithm experimentally, a 5-DOF dual-arm robot with distributed controllers for synchronization control has been developed and used for the experiments.

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    목차 (Table of Contents)

    • I. 서론 1
    • II. 양팔 로봇의 설계 4
    • 1. 매니퓰레이터의 구조 4
    • 2. 통합프로그랩 8
    • 3. 제어기 구조 9
    • I. 서론 1
    • II. 양팔 로봇의 설계 4
    • 1. 매니퓰레이터의 구조 4
    • 2. 통합프로그랩 8
    • 3. 제어기 구조 9
    • 4. 관절용 대전력 모터 드라이버 11
    • 5. 관절 PID 제어 12
    • Ⅲ. 양팔 로봇의 해석 15
    • 1. 기구학 15
    • 2. 순기구학 17
    • 3. 역기구학 22
    • 4. 자코비안 29
    • Ⅳ. DAMM (Dual Arm Manipulability Measure) 32
    • V. 최적화 함수 및 각 공구단의 충돌 방지 36
    • 1. 최적화 함수 36
    • 2. 양팔 각 공구단의 충돌 위험 방지 38
    • Ⅵ. 최적 경로 이동 실험 39
    • Ⅶ. 결론 48
    • 참고문헌 49
    • Abstract 51
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