Local step planning for a robot arm operating in an uncertain environment

Dugan Um

doi:10.1117/12.325777

6 October 1998 Local step planning for a robot arm operating in an uncertain environment

Dugan Um

Author Affiliations +

Proceedings Volume 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision; (1998) https://doi.org/10.1117/12.325777
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

Abstract

We address the problem of sensor-based motion planning for a robot arm manipulator operating amongst obstacles of arbitrary shapes. Collisions might occur at any point on the arm body. The input information is assumed to be coming from a sensitive skin that covers the arm body. The skin is covered by densely distributed proximity sensors. In prior work, step calculation was based on the average of normal vectors to the points on the obstacles sensed by the robot. There are cases when this algorithm can lead to collisions. In this paper an algorithm is proposed for local step planning whereby the direction for the next step motion is done along the intersection of planes tangential to the points of obstacles sensed. The tangential planes themselves are approximated via the least square fit of the sensor readings involved. An expansion of the scheme to robot arms with arbitrary number of links is also discussed.

Citation Download Citation

Dugan Um "Local step planning for a robot arm operating in an uncertain environment", Proc. SPIE 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, (6 October 1998); https://doi.org/10.1117/12.325777

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