Shared-Control Teleoperation Paradigms on a Soft-Growing Robot Manipulator

Loading...
Thumbnail Image

Date

2023

Authors

Selvaggio, M.
Agharese, N.
Luo, M.
Blumenschein, L.H.
Hawkes, E.W.
Okamura, A.M.

Journal Title

Journal ISSN

Volume Title

Publisher

Institute for Ionics

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Journal Issue

Abstract

Semi-autonomous telerobotic systems allow both humans and robots to exploit their strengths while enabling personalized execution of a remote task. For soft robots with kinematic structures dissimilar to those of human operators, it is unknown how the allocation of control between the human and the robot changes the performance. This work presents a set of interaction paradigms between a human and a remote soft-growing robot manipulator, with demonstrations in both real and simulated scenarios. The soft robot can grow and retract by eversion and inversion of its tubular body, a property we exploit in the interaction paradigms. We implemented and tested six different human-robot interaction paradigms, with full teleoperation at one extreme and gradually adding autonomy to various aspects of the task execution. All paradigms are demonstrated by two experts and two naive operators. Results show that humans and the soft robot manipulator can effectively split their control along different degrees of freedom while acting simultaneously to accomplish a task. In the simple pick-and-place task studied in this work, performance improves as the control is gradually given to the robot’s autonomy, especially when the robot can correct certain human errors. However, human engagement is maximized when the control over a task is at least partially shared. Finally, when the human operator is assisted by haptic guidance, which is computed based on soft robot tip position errors, we observed that the improvement in performance is dependent on the expertise of the human operator. © 2023, The Author(s), under exclusive licence to Springer Nature B.V.

Description

Keywords

Haptics, Human-machine interaction, Shared control, Soft robotics, Teleoperation, Control theory, Degrees of freedom (mechanics), Flexible manipulators, Human robot interaction, Industrial robots, Modular robots, Robot applications, Haptics, Human machine interaction, Human operator, Interaction paradigm, Performance, Robots manipulators, Shared control, Soft robot, Soft robotics, Telerobotic systems, Remote control

Turkish CoHE Thesis Center URL

Fields of Science

Citation

2

WoS Q

Q3

Scopus Q

N/A

Source

Journal of Intelligent and Robotic Systems: Theory and Applications

Volume

109

Issue

2

Start Page

End Page