A review and framework of laser-based collaboration support

被引:6
作者
Bechar, A. [1 ]
Nof, S. Y. [2 ]
Wachs, J. P. [2 ]
机构
[1] Agr Res Org, Inst Agr Engn, Volcani Ctr, IL-50250 Bet Dagan, Israel
[2] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA
关键词
GESTURE INTERFACE; AUGMENTED REALITY; E-WORK; SENSOR; SYSTEM; TRACKING; BEHAVIOR; LOCALIZATION; NAVIGATION; DESIGN;
D O I
10.1016/j.arcontrol.2015.03.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
New technologies are emerging to enable and support physical, implicit and explicit collaborations. They are essential for dealing with increasingly complex systems in unstructured, dynamic environments. The purpose of this article is to review the role of laser technology in enabling better, more precise interactions and their control, and to identify opportunities and challenges in this area. While the most common applications of laser technology are found in medical and health care, manufacturing, and communication, other domains such as safety, quality assurance, agriculture, construction, entertainment, defense, transportation, and law enforcement also benefit from it. In spite of the rapid dissemination of this technology, its role in support of collaboration and discovery is still in its infancy. Research activities concerning new ways of using lasers as a collaboration supporting technology that may strengthen new areas have been relatively limited. Nevertheless, the translation to this domain of collaboration support has been recognized as vital for activities that demand increasingly more coordinated effort among interacting agents (e.g., humans, machines, particles) and digital, possibly also photonic agents. Recent advances in laser technology in a number of application domains are reviewed in this article, focusing primarily on lasers' role for supporting different forms of precision interactions and collaboration. In addition, a framework with five collaboration support functions and five collaboration dimensions is defined for this review. The taxonomy framework is useful for enabling better understanding of the existing and emerging opportunities that laser-based technology offers for collaboration support, its advantages and several research gaps. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:30 / 45
页数:16
相关论文
共 105 条
[1]  
[Anonymous], 1992, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI'92, page, DOI DOI 10.1145/142750.142977
[2]  
[Anonymous], 2005, CHI 05 EXTENDED ABST
[3]  
[Anonymous], 2004, AAMAS, DOI DOI 10.1109/AAMAS.2004.258
[4]   A survey of augmented reality [J].
Azuma, RT .
PRESENCE-VIRTUAL AND AUGMENTED REALITY, 1997, 6 (04) :355-385
[5]  
Bechar A, 2014, IND SYST ENG SER, P165
[6]   An Objective Function to Evaluate Performance of Human-Robot Collaboration in Target Recognition Tasks [J].
Bechar, Avital ;
Meyer, Joachim ;
Edan, Yael .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2009, 39 (06) :611-620
[7]   Multisensor-Based Human Detection and Tracking for Mobile Service Robots [J].
Bellotto, Nicola ;
Hu, Huosheng .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2009, 39 (01) :167-181
[8]  
BOULNOIS J-L, 1986, Lasers in Medical Science, V1, P47, DOI 10.1007/BF02030737
[9]   Present and future robot control development -: An industrial perspective [J].
Brogardh, Torgny .
ANNUAL REVIEWS IN CONTROL, 2007, 31 (01) :69-79
[10]   Robot Control Overview: An Industrial Perspective [J].
Brogardh, Torgny .
MODELING IDENTIFICATION AND CONTROL, 2009, 30 (03) :167-180