Preface: Special Issue on Knowledge Driven Robotics and Manufacturing

Published

June 30, 2015

Author(s)

Craig I. Schlenoff, Stephen B. Balakirsky, Edson Prestes

Abstract

State-of-the-art robots are capable of sub-millimeter movement accuracy. However, they are often programmed by an operator using crude positional controls from a teach pendent. Reprogramming these robots when their task is altered requires that the robot cell be often taken offline for a human-led teaching period. In an industrial setting, for small batch processes or when frequent line configuration changes are needed, this down time may be unacceptable. The robotic systems of tomorrow need to be capable, flexible, and agile. This subject has recently received significant attention, as evidenced by the numerous special sessions and workshops around the world. In 2013, Based on the interest level and success of this session, the guest editors decided to propose a journal special issue. This paper is the preface to this special issue.

Citation

Robotics and Computer Aided Manufacturing Journal

Volume

33

Pub Type

Journals

Download Paper

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Keywords

robotics, manufacturing, intention recognition, assembly, knowledge representation

Citation

Schlenoff, C. , Balakirsky, S. and Prestes, E. (2015), Preface: Special Issue on Knowledge Driven Robotics and Manufacturing, Robotics and Computer Aided Manufacturing Journal, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=917223 (Accessed October 8, 2025)