2015
DOI: 10.1109/tro.2015.2409434
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Optimization-Based Motion Planning in Joint Space for Walking Assistance With Wearable Robot

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Cited by 44 publications
(19 citation statements)
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“…Wearable power-assist locomotor (WPAL) has been developed at the Fujita Health University 33 for providing assistance to paraplegic patients. 34 WPAL provides actuation to the sagittal plane hip, knee, and ankle joints by utilizing DC motors. All other joints of the lower limbs are restricted.…”
Section: Robotic Orthoses Mechanical Designmentioning
confidence: 99%
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“…Wearable power-assist locomotor (WPAL) has been developed at the Fujita Health University 33 for providing assistance to paraplegic patients. 34 WPAL provides actuation to the sagittal plane hip, knee, and ankle joints by utilizing DC motors. All other joints of the lower limbs are restricted.…”
Section: Robotic Orthoses Mechanical Designmentioning
confidence: 99%
“…80 A motion planning strategy is recently proposed for WPAL to generate various walking patterns. 34 Other via-points are specified throughout a step, and the statuses at the via-points are applied as parameters to modify the trajectories of joints. A linear inverted pendulum model is utilized to determine the lasting of the step and several boundary states.…”
Section: Robotic Orthoses Control Strategiesmentioning
confidence: 99%
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“…A smooth and continuous trajectory is synthesized via polynomial interpolation. Kagawa et al [49] have developed a smooth motion planning approach for assistive walking exoskeleton that is based on a minimum jerk trajectory algorithm. Here, a linear inverted pendulum model is used to prevent falling down during walking and a continuous trajectory is planned by the minimum jerk trajectory algorithm.…”
Section: Gait Trajectoriesmentioning
confidence: 99%
“…Index of articles Gait trajectory based [14], [15], [16], [17], [18]- [20], [21], [22], [23], [24], [25], [26], position assistance [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], [40], [41], [42], [43]- [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58] Posture estimation based [59], [60], [61], [62], [63], [64], [65] position assistance I...…”
Section: Control Strategymentioning
confidence: 99%