JOURNAL ARTICLE

Basic manipulation considerations for the articulated body mobile robot

Abstract

Some methods of mobile manipulator control for the articulated body mobile robot "KORYU (KR)" are analyzed. KR is a class of mobile robot composed of serially connected "unit segments", configuring a long articulated body which resembles a train or a snake in shape. This configuration has an intrinsic advantage of making possible the use of the body's degrees of freedom (DOF) not only for "locomotion", but also for "manipulation". In order to demonstrate this characteristic we built a real mechanical model called KR-II, equipped with a 2 DOF manipulator in its foremost part. In the paper, two configurations for augmenting the number of this manipulator DOF are considered. The first method "fixed manipulator" considers the robot fixed to the ground, so that the manipulation control issue can be studied using well-known standard manipulator control theories. In the second method "mobile manipulator" special attention is paid to integrating manipulation tasks with body locomotion (steering) freedom. We verify that mobile manipulation can be smoothly integrated with a steering control method already developed in earlier works. Experimental results are shown to demonstrate the validity of the proposed augmented manipulation configurations and respective control methods.

Keywords:
Mobile manipulator Mobile robot Computer science Manipulator (device) Robot Degrees of freedom (physics and chemistry) Control engineering Control theory (sociology) Robot control Control (management) Simulation Artificial intelligence Engineering

Metrics

16
Cited By
1.25
FWCI (Field Weighted Citation Impact)
8
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Control and Dynamics of Mobile Robots
Physical Sciences →  Engineering →  Control and Systems Engineering
Robotic Locomotion and Control
Physical Sciences →  Engineering →  Biomedical Engineering
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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