NDLI: Wearable-based evaluation of human-robot interactions in robot path-planning

Content Provider	IEEE Xplore Digital Library
Author	Shikata, R. Goto, T. Noborio, H. Ishiguro, H.
Copyright Year	2003
Description	Author affiliation: Dept. of Eng. Inf., Osaka Electro-Commun. Univ., Neyagawa, Japan (Shikata, R.; Goto, T.; Noborio, H.)
Abstract	In robotics, many path-planning algorithms have been proposed but almost all are evaluated only by their path lengths in PC. However, the evaluation is completely independent of a human ability. Recently, a human intends to live with many robots. For this reason, we should experimentally evaluate many kinds of interactions between a human and robots in our living space, which are supervised by each path-planning algorithm. Unfortunately, it is impossible, expensive and dangerous for us to investigate such interactions in a real world. To overcome such drawbacks, we propose wearable-based system to evaluate a path-planning algorithm by a human being. A human avoids some neighbors of virtual robots by using two eyes (using his visual property) and two legs (using his movable ability). In our wearable system, we can quickly develop smart robots and sensors without considering many irrational technical limitations. Therefore, we can test a novel sensor-based path-planning algorithm in the virtual environment. Using this, their superiorities are checked by visual and movable abilities of a human being.
Sponsorship	IEEE Robotics & Autom. Soc. Nat. Sci. Council, Taiwan, Ministr. Educ., Taiwan
Starting Page	1946
Ending Page	1953
File Size	515295
Page Count	8
File Format	PDF
ISBN	0780377362
ISSN	10504729
DOI	10.1109/ROBOT.2003.1241879
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-09-14
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Human robot interaction Path planning Orbital robotics Robot sensing systems Legged locomotion Eyes Leg Intelligent robots Intelligent sensors Sensor systems
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software

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