NDLI: A system design for tactile recognition of human-robot contact state

Content Provider	IEEE Xplore Digital Library
Author	Iwata, H. Sugano, S.
Copyright Year	2003
Description	Author affiliation: Dept. of Mech. Eng., Waseda Univ., Tokyo, Japan (Iwata, H.; Sugano, S.)
Abstract	In this paper, we propose a method for designing an identification system of human-robot contact states based on tactile recognition. First, a method of quantifying tactile cognition of a human (receiver) touched by other people (toucher) using a neural network called MCP (modified counter propagation) is presented, which matches the verbal response by the receiver with tactile stimulation detected during physical interference and contact utilizing tactile interface. It is incorporated that the probability of corresponding contact state is determined, based on the degree of similarity of the characteristics between new input data and reference data patterns stored in advance. Referring to the SOM (self-organizing maps) formed through learning, which contains the relationship between contact states and tactile stimulation detected, a robot that comes into contact with a human can recognize and infer contact states from tactile stimulation like the receiver. Next, in order to accomplish high-performance of contact state identification by improving the learning performance, an evaluation criterion to quantify the discriminatability of contact states is proposed. Finally, the experimental results confirm that the proposed method is useful for identifying contact states, based on only tactile sensing, as represented by the receiver.
Sponsorship	IEEE Robotics & Autom. Soc. IEEE Ind. Electron. Soc. Robotics Soc. Japan Soc. Instrum. & Control Eng. New Technol. Found
Starting Page	7
Ending Page	12
File Size	546660
Page Count	6
File Format	PDF
ISBN	0780378601
DOI	10.1109/IROS.2003.1250597
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Human robot interaction Robot sensing systems Humanoid robots Medical robotics Symbiosis Design methodology Cognition Interference Self organizing feature maps Cognitive robotics
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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