Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics I
DOI: 10.1109/iros.2001.976403
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Human-robot cooperative manipulation with motion estimation

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Cited by 106 publications
(92 citation statements)
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“…The strategy generally aims at reducing the problem to the estimation of handful parameters that allows generating a complete motion. The most famous example is the minimum jerk model [5] [6]. However this model is always rather applied to point-to-point motion and does not fit for motions going beyond the reach of the arm or even to motion for which the target point is not well defined.…”
Section: Proactive Trajectory Plannermentioning
confidence: 99%
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“…The strategy generally aims at reducing the problem to the estimation of handful parameters that allows generating a complete motion. The most famous example is the minimum jerk model [5] [6]. However this model is always rather applied to point-to-point motion and does not fit for motions going beyond the reach of the arm or even to motion for which the target point is not well defined.…”
Section: Proactive Trajectory Plannermentioning
confidence: 99%
“…An other way to be proactive is to guess the human partner's intended trajectory. This is the approach chosen in [5] [6] and also the one we choose in this paper. Note that both approaches are not incompatible.…”
Section: Introductionmentioning
confidence: 99%
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“…Methods to estimate human intention based on the minimum-jerk assumption [8] are often deployed [19,4]. Within the programming-by-demonstration framework a significant body of methods to learn motion patterns from human demonstration, to recognize such and to estimate human intention are developed.…”
Section: Introductionmentioning
confidence: 99%
“…Feedback motion planning for haptic guidance using a cell-decomposition method is proposed by [24] in the context of computer-aided design. So far, most of the existing works investigate individual algorithms for planning [29,24], learning/prediction [19,4,10,18], and Martin Lawitzky, José Ramón Medina Hernández, and Sandra Hirche Technische Universität München, Inst. of Automatic Control Eng., 80290 Munich, Germany, e-mail: {ml, medina, hirche}@tum.de control [27,16,15,15,34,6] for physical human-robot interaction (pHRI) in a separate way.…”
Section: Introductionmentioning
confidence: 99%