Enhanced Transparency for Physical Human-Robot Interaction Using Human Hand Impedance Compensation
Autor: | Kyeong Ha Lee, Seung Guk Baek, Hyouk Ryeol Choi, Hyungpil Moon, Hyuk Jin Lee, Ja Choon Koo |
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Rok vydání: | 2018 |
Předmět: |
0209 industrial biotechnology
Computer science 020207 software engineering 02 engineering and technology Transparency (human–computer interaction) Human–robot interaction Computer Science Applications Robot control Admittance parameters System model Compensation (engineering) 020901 industrial engineering & automation Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Robot Electrical and Electronic Engineering Haptic technology |
Zdroj: | IEEE/ASME Transactions on Mechatronics. 23:2662-2670 |
ISSN: | 1941-014X 1083-4435 |
Popis: | In a physical human-robot interaction (pHRi) system, improving transparency that allows humans to move as if there is no robot is a challenging topic. In general pHRi, usage of the multiaxial force sensor for robot control is the norm. However, the signal measured from the force sensor contains not only the force applied to the robot by the human motion intention but also the influence of the natural force feedback between the robot and the human hand produced by the robot motion. Therefore, in order to improve the transparency, it is necessary to characterize the dynamics of the human hand as well as the dynamics of the robot. In this paper, an algorithm to improve the transparency is proposed. The proposed algorithm uses only a multiaxial force sensor and compensates the natural force feedback by using the human hand impedance. And it further improves the transparency of the pHRi system, which has a limitation adjusting admittance parameters. In order to verify the algorithm, a device that can measure the impedance of the human hand is introduced, and a system model analysis and experiments using the hydraulic upper limb exoskeleton are carried out. |
Databáze: | OpenAIRE |
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