NDLI: Strategy for collaborative navigation in assistive robotics: Reducing user workload

Content Provider	IEEE Xplore Digital Library
Author	Gonzalez, E.A. Auat Cheein, F.A.
Copyright Year	2015
Description	Author affiliation: Dept. of Electron. Eng., Univ. Tec. Federico Santa Maria, Valparaiso, Chile (Gonzalez, E.A.; Auat Cheein, F.A.)
Abstract	Nowadays, physically impaired people (or people with special needs) still struggle with daily tasks when using mobility aid devices, whether for crossing doors, parking or manoeuvring. In this context, assistive robotics can offer solutions to those problems thus increasing the users' quality of life. In this work we propose a collaborative navigation strategy for predicting, and thus improving, the users' skills for driving assistive vehicles. In particular, two semi-autonomous navigation modes are presented, in which the vehicle is able to predict the user's motion intentions, reducing his/her workload. The systems were tested in a simulated environment with a population of seven volunteers, using a friendly interface and later validated in a real world scenario. Results showing that the system aids the user to safely navigate the environment and to decrease his/her workload are also included in this work.
Starting Page	430
Ending Page	435
File Size	735510
Page Count	6
File Format	PDF
e-ISBN	9781479983186
DOI	10.1109/ICoSC.2015.7153284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-28
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Navigation Collaboration Motorcycles Manuals Trajectory Robots
Content Type	Text
Resource Type	Article

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