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Content Provider | IEEE Xplore Digital Library |
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Author | Yong Yu Ishitsuka, T. Tsujio, S. |
Copyright Year | 2003 |
Description | Author affiliation: Dept. of Mech. Eng., Kagoshima Univ., Japan (Yong Yu; Ishitsuka, T.; Tsujio, S.) |
Abstract | /sup F/or dexterously performing object grasping and manipulation with multifingered hand of robot, sensing the finger joint torque is required. In general, the size of finger joint is quite small so that it is hard to realize the torque sensing. This paper proposes a novel mechanism, called the strain-deformation expansion mechanism, to sense the joint torque, which is small enough and fitted in the finger joint. By the torque sensing mechanism, the small joint strain-deformation used for torque sensing can be expanded without reducing the joint stiffness. In this paper, the torque sensing principle is addressed by analyzing the deformation of the sensing mechanism and the torques acting on the joint shaft theoretically. Then, the sensitivity of the sensing mechanism and its expansion rate of sensitivity are defined, and a design method for realizing the sensing mechanism with high sensitivity is discussed. Finally, some experiments with robot finger are performed to show the basic characteristics and the effectiveness of the proposed torque sensing mechanism. |
Sponsorship | IEEE Robotics & Autom. Soc. Nat. Sci. Council, Taiwan, Ministr. Educ., Taiwan |
Starting Page | 1850 |
Ending Page | 1856 |
File Size | 469802 |
Page Count | 7 |
File Format | |
ISBN | 0780377362 |
ISSN | 10504729 |
DOI | 10.1109/ROBOT.2003.1241864 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2003-09-14 |
Publisher Place | Taiwan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fingers Shafts Robot sensing systems Design methodology Actuators Gears Torque measurement Capacitive sensors Mechanical engineering Grasping |
Content Type | Text |
Resource Type | Article |
Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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