NDLI: An evolutionary approach for autonomous robotic tracking of dynamic targets in healthcare environments

Content Provider	IEEE Xplore Digital Library
Author	Cazangi, R.R. Feied, C. Gillam, M. Handler, J. Smith, M. Von Zuben, F.J.
Copyright Year	2007
Description	Author affiliation: Microsoft Corp., Redmond (Cazangi, R.R.; Feied, C.; Gillam, M.; Handler, J.)
Abstract	Despite thousands of years of changes in medical practice, healthcare delivery remains highly dependent on manual human effort. Mobile robots can help clinicians by automating the execution of tasks that do not directly demand medical knowledge (e.g. transporting medications to nurses). Yet, healthcare is a dynamic environment with a constantly mobile workforce. The present work describes a solution to the problem of autonomous robotic tracking of mobile targets in large, dynamic environments supported by a high-resolution, real-time, ultra wideband radio-frequency localization technology. The solution consists of a navigation system able to perform both global and local path planning simultaneously based on an evolutionary computation approach. A priori information and instant sensorial stimuli are integrated by the system in order to evolve efficient trajectories in real-time. The system proposed was tested with dynamic obstacles and targets and was demonstrated to be both highly adaptive and responsive.
Starting Page	3654
Ending Page	3661
File Size	615924
Page Count	8
File Format	PDF
ISBN	9781424413393
DOI	10.1109/CEC.2007.4424946
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-25
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Medical services Medical robotics Robotics and automation Mobile robots Humans Robot sensing systems Ultra wideband technology Radio frequency Radio navigation
Content Type	Text
Resource Type	Article

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