Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Preface: Special Issue on Knowledge Driven Robotics and Manufacturing



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


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.
Robotics and Computer Aided Manufacturing Journal


robotics, manufacturing, intention recognition, assembly, knowledge representation


Schlenoff, C. , Balakirsky, S. and Prestes, E. (2015), Preface: Special Issue on Knowledge Driven Robotics and Manufacturing, Robotics and Computer Aided Manufacturing Journal, [online], (Accessed April 20, 2024)
Created June 30, 2015, Updated April 7, 2017