z-logo
open-access-imgOpen Access
Exploration Of Unknown Mechanical Assemblies Through Manipulation
Author(s) -
V. Ravi Kumar,
Xiaoping Yun,
Růžena Bajcsy
Publication year - 1990
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.969908
Subject(s) - kinematics , computer science , motion (physics) , robot , construct (python library) , artificial intelligence , task (project management) , function (biology) , computer vision , robot kinematics , control engineering , mobile robot , engineering , systems engineering , physics , classical mechanics , biology , programming language , evolutionary biology
If robots must function in unstructured environments, they must also possess the ability to acquire information and construct appropriate models of the unknown environment. This paper addresses the automatic generation of kinematic models of unknown objects with moveable parts in the environment. If the relative motion between moving parts must be observed and characterized, vision alone cannot suffice. An approach in which manipulation is used with vision for sensing is better suited to the task of determining kinematic properties. In this paper, algorithms for constructing models of unknown mechanical assemblies and characterizing the relative motion are developed. Results of a simulation are described to demonstrate the role of manipulation in such an endeavor.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom