Experimental setup for evaluating an adaptive user interface for teleoperation control

Indika B. Wijayasinghe; Srikanth Peetha; Shamsudeen Abubakar; Mohammad Nasser Saadatzi; Sven Cremer; Dan O. Popa

doi:10.1117/12.2262927

16 May 2017 Experimental setup for evaluating an adaptive user interface for teleoperation control

Indika B. Wijayasinghe, Srikanth Peetha, Shamsudeen Abubakar, Mohammad Nasser Saadatzi, Sven Cremer, Dan O. Popa

Proceedings Volume 10216, Smart Biomedical and Physiological Sensor Technology XIV; 102160E (2017) https://doi.org/10.1117/12.2262927
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

A vital part of human interactions with a machine is the control interface, which single-handedly could define the user satisfaction and the efficiency of performing a task. This paper elaborates the implementation of an experimental setup to study an adaptive algorithm that can help the user better tele-operate the robot. The formulation of the adaptive interface and associate learning algorithms are general enough to apply when the mapping between the user controls and the robot actuators is complex and/or ambiguous. The method uses a genetic algorithm to find the optimal parameters that produce the input-output mapping for teleoperation control. In this paper, we describe the experimental setup and associated results that was used to validate the adaptive interface to a differential drive robot from two different input devices; a joystick, and a Myo gesture control armband. Results show that after the learning phase, the interface converges to an intuitive mapping that can help even inexperienced users drive the system to a goal location.

Conference Presentation

Citation Download Citation

Indika B. Wijayasinghe, Srikanth Peetha, Shamsudeen Abubakar, Mohammad Nasser Saadatzi, Sven Cremer, and Dan O. Popa "Experimental setup for evaluating an adaptive user interface for teleoperation control", Proc. SPIE 10216, Smart Biomedical and Physiological Sensor Technology XIV, 102160E (16 May 2017); https://doi.org/10.1117/12.2262927

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available