2012
DOI: 10.1299/jsdd.6.170
|View full text |Cite
|
Sign up to set email alerts
|

Human Arm-Like Robot Control Based on Human Multi-Joint Arm Viscoelastic Properties and A Modified Forward Gaze Model

Abstract: In this paper, a human arm-like robot control scheme is proposed based on timevarying viscoelastic properties which consist of multi-joint stiffness and multi-joint viscosity during human arm movements and a modified forward gaze model. In general, in human multi-joint arm movements, the multi-joint torque is assumed to be a function of multi-joint stiffness matrix, multi-joint viscosity matrix, and motor command descending from central nervous system (CNS). In order to make the present human arm-like robot mo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2012
2012
2024
2024

Publication Types

Select...
3
2

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(1 citation statement)
references
References 31 publications
0
1
0
Order By: Relevance
“…As a successive research, how to measure on-line timevarying human multi-joint arm viscoelasticity has been studied in [19]. To imitate the motion mechanism of the human multijoint arm, a control scheme to human arm-like robots based on viscoelastic properties of the human multi-joint arm and a forward gaze model has been proposed in [20], [21]. The forward gaze model was designed to compensate the term of the effect of CNS.…”
Section: Introductionmentioning
confidence: 99%
“…As a successive research, how to measure on-line timevarying human multi-joint arm viscoelasticity has been studied in [19]. To imitate the motion mechanism of the human multijoint arm, a control scheme to human arm-like robots based on viscoelastic properties of the human multi-joint arm and a forward gaze model has been proposed in [20], [21]. The forward gaze model was designed to compensate the term of the effect of CNS.…”
Section: Introductionmentioning
confidence: 99%