Using Natural Language And Voice To Control High Level Tasks In A Robotics Environment

Robert G. Hackenberg

doi:10.1117/12.937770

27 March 1987 Using Natural Language And Voice To Control High Level Tasks In A Robotics Environment

Robert G. Hackenberg

Proceedings Volume 0726, Intelligent Robots and Computer Vision V; (1987) https://doi.org/10.1117/12.937770
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States

Abstract

RCA's Advanced Technology Laboratories (ATL) has implemented an integrated system which permits control of high level tasks in a robotics environment through voice input in the form of natural language syntax. The paper to be presented will outline the architecture used to integrate voice recognition and synthesis hardware and natural language and intelligent reasoning software with a supervisory processor that controls robotic and vision operations in the robotic testbed. The application is intended to give the human operator of a Puma 782 industrial robot the ability to combine joystick teleoperation with voice input in order to provide a flexible man-machine interface in a hands-busy environment. The system is designed to give the operator a speech interface which is unobtrusive and undemanding in terms of predetermined syntax requirements. The voice recognizer accepts continuous speech and the natural language processor accepts full and partial sentence fragments and can perform a fair amount of disambiguation and context analysis. Output to the operator comes via the parallel channel of speech synthesis so that the operator does not have to consult the computer's CRT for messages. The messages are generated from the software and offer warnings about unacceptable situations, confirmations of actions completed, and feedback of system data.

Citation Download Citation

Robert G. Hackenberg "Using Natural Language And Voice To Control High Level Tasks In A Robotics Environment", Proc. SPIE 0726, Intelligent Robots and Computer Vision V, (27 March 1987); https://doi.org/10.1117/12.937770

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available