Statistical investigation of robot performance specifications

Article type: Research Article

Authors: Schlesinger, Robert J. | Imany, Mohammad M.

Affiliations: Dept. of Information Systems, San Diego State University, San Diego, CA 92182-0127, USA

Abstract: The technical manager attempting to evaluate robot performance from published specification data faces an increasingly complex decision problem. This problem complexity results from the nonuniformity of robot parameter data due to lack of standards and the rapid technological changes taking place in robotics. An evaluation of the currently available data base of robot specifications is presented and a statistical approach to evaluating the potential impact of trade-offs of performance requirements is presented. An example using four robot parameters – repeatability, velocity, degrees of freedom, and lifting capacity – is given.

Keywords: Robot specifications analysis, statistical robot parameter relations, regression analysis applied to robot performance, trade-off decisions in robot evaluation

DOI: 10.3233/HSM-1986-6207

Journal: Human Systems Management, vol. 6, no. 2, pp. 157-165, 1986