Repository logo
 
Loading...
Thumbnail Image
Publication

Redundancy optimization for mechanical manipulators

Use this identifier to reference this record.
Name:Description:Size:Format: 
COM_MachadoTenreiro63.pdf2.04 MBAdobe PDF Download

Advisor(s)

Abstract(s)

Redundant manipulators have some advantages when compared with classical arms because they allow the trajectory optimization, both on the free space and on the presence of obstacles, and the resolution of singularities. For this type of manipulators, the proposed kinematic control algorithms adopt generalized inverse matrices. In this line od thought, the generalized inverse control scheme is tested through several experiments that reveal the difficulties that often arise, namely by showing that we may get non-optimal arm configurations and chaotic-like motions. Motivated by these problems this paper presents a new method that optimizes the manipulability through a least square polynominal approximation to determine the joints positions. The experiments confirm the superior performance of the proposed algorithm for redundant and hyper-redundant manipulators.

Description

Keywords

Redundant manipulators Position control Inverse problems Polynomial approximation Least squares approximations Manipulator kinematics Redundancy Optimisation

Citation

Research Projects

Organizational Units

Journal Issue

Publisher

Institute of Electrical and Electronics Engineers

CC License

Altmetrics