Collision Sensing Using ForceTorque Sensor

Joint Authors

Leng, Yuquan
Zhang, Yang
He, Xu
Zhang, Wei
Chen, Zheng-Cang

Source

Journal of Sensors

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-12-14

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Civil Engineering

Abstract EN

Collision sensing including collision position, collision direction, and force size could make robots smoothly interact with environment, so that the robots can strongly adapt to the outside world.

Skin sensor imitates principles of human skin using special material and physical structure to obtain collision information, but this method has some disadvantages, such as complex design, low sampling rate, and poor generality.

In this paper, a new method using force/torque sensor to calculate collision position, collision direction, and force size is proposed.

Detailed algorithm is elaborated based on physical principle and unified modeling method for basic geometric surface.

Gravity compensation and dynamic compensation are also introduced for working manipulators/robots in gravity and dynamic environment.

In addition, considering algorithm solvability and uniqueness, four constraints are proposed, which are force constraint, geometric constraint, normal vector constraint, and current mutation constraint.

In order to solve conflict solution of algorithm in redundant constraints, compatibility solution analysis is proposed.

Finally, a simulation experiment shows that the proposed method can achieve collision information efficiently and accurately.

American Psychological Association (APA)

Leng, Yuquan& Chen, Zheng-Cang& He, Xu& Zhang, Yang& Zhang, Wei. 2015. Collision Sensing Using ForceTorque Sensor. Journal of Sensors،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110551

Modern Language Association (MLA)

Leng, Yuquan…[et al.]. Collision Sensing Using ForceTorque Sensor. Journal of Sensors No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1110551

American Medical Association (AMA)

Leng, Yuquan& Chen, Zheng-Cang& He, Xu& Zhang, Yang& Zhang, Wei. Collision Sensing Using ForceTorque Sensor. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110551

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1110551