An Alignment Method of Human-Robot Collaboration Based on the Six-Dimensional ForceTorque Dynamic Measurement for Large-Scale Components

Joint Authors

Wen, Ke
Du, Fuzhou
Zhang, Jiabo
Yang, JiZhi

Source

Journal of Robotics

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-09-02

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mechanical Engineering

Abstract EN

A Stewart parallel robot (SPR) is a promising choice for alignment or assembly of components that are large or heavy.

This paper presents a method for human-robot collaboration, for positioning and orientation of large components.

Use of interactive force measurements is important for human-robot collaboration.

It is based on six-dimensional force/torque (F/T) measurements.

First, the six-dimensional F/T data are calculated based on the six-actuator SPR geometry and screw theory.

Second, the effects of gravity forces (dynamic gravity compensation) are considered, and a method to offset their effects is explained.

Third, force estimation experiments were performed using an S-type force sensor and known applied test forces.

Finally, the F/T-driven feedback was tested for the alignment of a large-scale component.

The experimental results show that the calculated six-dimensional F/T can accurately track the force applied to a large and/or heavy component by a human worker.

It can also accurately predict the F/T required to compensate for inertial forces and components’ weight.

Thus, the alignment method of human-robot collaboration based on the six-dimensional force/torque dynamic measurements for large-scale components is correct and effective.

American Psychological Association (APA)

Wen, Ke& Du, Fuzhou& Zhang, Jiabo& Yang, JiZhi. 2018. An Alignment Method of Human-Robot Collaboration Based on the Six-Dimensional ForceTorque Dynamic Measurement for Large-Scale Components. Journal of Robotics،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1197777

Modern Language Association (MLA)

Wen, Ke…[et al.]. An Alignment Method of Human-Robot Collaboration Based on the Six-Dimensional ForceTorque Dynamic Measurement for Large-Scale Components. Journal of Robotics No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1197777

American Medical Association (AMA)

Wen, Ke& Du, Fuzhou& Zhang, Jiabo& Yang, JiZhi. An Alignment Method of Human-Robot Collaboration Based on the Six-Dimensional ForceTorque Dynamic Measurement for Large-Scale Components. Journal of Robotics. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1197777

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1197777