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Industrial Robot: An International Journal
ISSN: 0143-991X
Online from: 1973
Subject Area: Mechanical & Materials Engineering
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A medical robot kinematics design approach based on knowledge management
| Title: | A medical robot kinematics design approach based on knowledge management |
|---|---|
| Author(s): | Natalie Smith-Guerin, (Prisme Institute/LVR, Bourges, France), Laurence Nouaille, (Prisme Institute/LVR, Bourges, France), Pierre Vieyres, (Prisme Institute/LVR, Bourges, France), Gerard Poisson, (Prisme Institute/LVR, Bourges, France) |
| Citation: | Natalie Smith-Guerin, Laurence Nouaille, Pierre Vieyres, Gerard Poisson, (2008) "A medical robot kinematics design approach based on knowledge management", Industrial Robot: An International Journal, Vol. 35 Iss: 4, pp.316 - 323 |
| Keywords: | Health and safety, Kinematics, Robotics |
| Article type: | Research paper |
| DOI: | 10.1108/01439910810876418 (Permanent URL) |
| Publisher: | Emerald Group Publishing Limited |
| Abstract: | Purpose – The purpose of this paper is to present a methodology for medical robot kinematics design developed using a knowledge-management approach. Design/methodology/approach – A classification of medical robots is proposed based on their kinematic characteristics and 76 robot specifications were collected in a catalogue. Then, having drawn a generic specifications sheet, rules were proposed to choose a structure from these specifications. Findings – Findings are situated at several levels: the catalogue, the classification of robots with respect to their kinematic characteristics, a generic and specific specifications sheet, and an organigram to choose the most relevant structure from the specifications. Research limitations/implications – This structural synthesis represents a preliminary step in the design of medical robots which will be completed by an additional dimensional synthesis. Originality/value – This work offers a new methodology for medical robots design distinct from what is usually done for medical or industrial robots design using intuition, expertise and non-formal knowledge. |
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