2011 IEEE International Conference on Robotics and Automation 2011
DOI: 10.1109/icra.2011.5979654
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Kinematic analysis and synthesis of the human arm motion during a manipulation task

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Cited by 36 publications
(26 citation statements)
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“…The constraints based methods add some additional constraints to¯nd the unique inverse kinematic solution. The constraints include elbow height obtained by fuzzy approach, 18 elbow elevation angle obtained by regression analysis 19,20 and the relationship of some special angles of human arm borrowed from neurophysiology. 21 Criteria based methods generate human-like movement through optimizing the di®erent criteria, such as manipulability index, 22 energetic criterion including gravitation potential and kinetic energies of the arm, 23 the rapid upper limb assessment criterion in ergonomics, 11 the dependencies among the human joint angles 24 and the criterion considering both the kinematics and dynamics.…”
Section: Human-like Motion Planningmentioning
confidence: 99%
“…The constraints based methods add some additional constraints to¯nd the unique inverse kinematic solution. The constraints include elbow height obtained by fuzzy approach, 18 elbow elevation angle obtained by regression analysis 19,20 and the relationship of some special angles of human arm borrowed from neurophysiology. 21 Criteria based methods generate human-like movement through optimizing the di®erent criteria, such as manipulability index, 22 energetic criterion including gravitation potential and kinetic energies of the arm, 23 the rapid upper limb assessment criterion in ergonomics, 11 the dependencies among the human joint angles 24 and the criterion considering both the kinematics and dynamics.…”
Section: Human-like Motion Planningmentioning
confidence: 99%
“…B), which lead to the generation of corresponding configurations. Inspired by similar observations, the problem of redundancy resolution has been extensively addressed in the field of robotics by establishing task-related artificial potential fields [2], [3], [4], while, only few studies have drawn attention to the acquired human-like natural motion [5], [1], [6]. With the advent of higher demands on dual-arm manipulation, interaction with the environment using impedance control [7] became the focus of many studies in dual-arm systems.…”
Section: Introductionmentioning
confidence: 99%
“…Some other research groups adopted experimental identification methods to model the arm posture selection. Zanchettin et al, [7] synthesized object manipulation motions by applying clustering and multivariate correlation statistics on experimental results to identify the model with least squares algorithm. Kim et al, [8] approximated captured human motions by response surface method to control a biomimetic motion of a humanoid robot.…”
Section: Introductionmentioning
confidence: 99%