Malleable robots: reconfigurable robotic arms with continuum links of variable stiffness
File(s)Journal_Paper_T-RO_Malleable_Robots.pdf (4.9 MB)
Accepted version
Author(s)
Clark, Angus
Rojas, Nicolas
Type
Journal Article
Abstract
Through the implementation of reconfigurability to
achieve flexibility and adaptation to tasks by morphology changes
rather than by increasing the number of joints, malleable robots
present advantages over traditional serial robot arms in regards
to reduced weight, size, and cost. While limited in degrees of
freedom (DOF), malleable robots still provide versatility across
operations typically served by systems using higher DOF than
required by the tasks. In this paper, we present the creation
of a 2-DOF malleable robot, detailing the design of joints
and malleable link, along with its modelling through forward
and inverse kinematics, and a reconfiguration methodology that
informs morphology changes based on end effector location—
determining how the user should reshape the robot to enable
a task previously unattainable. The recalibration and motion
planning for making robot motion possible after reconfiguration
are also discussed, and thorough experiments with the prototype
to evaluate accuracy and reliability of the system are presented.
Results validate the approach and pave the way for further
research in the area
achieve flexibility and adaptation to tasks by morphology changes
rather than by increasing the number of joints, malleable robots
present advantages over traditional serial robot arms in regards
to reduced weight, size, and cost. While limited in degrees of
freedom (DOF), malleable robots still provide versatility across
operations typically served by systems using higher DOF than
required by the tasks. In this paper, we present the creation
of a 2-DOF malleable robot, detailing the design of joints
and malleable link, along with its modelling through forward
and inverse kinematics, and a reconfiguration methodology that
informs morphology changes based on end effector location—
determining how the user should reshape the robot to enable
a task previously unattainable. The recalibration and motion
planning for making robot motion possible after reconfiguration
are also discussed, and thorough experiments with the prototype
to evaluate accuracy and reliability of the system are presented.
Results validate the approach and pave the way for further
research in the area
Date Issued
2022-12-01
Date Acceptance
2022-05-28
Citation
IEEE Transactions on Robotics, 2022, 38 (6), pp.3832-3849
ISSN
1552-3098
Publisher
Institute of Electrical and Electronics Engineers
Start Page
3832
End Page
3849
Journal / Book Title
IEEE Transactions on Robotics
Volume
38
Issue
6
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publication Status
Published
Date Publish Online
2022-07-08