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Proceedings - OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
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[13] Simon Keizer, Mary Ellen Foster, Andre Gaschler, Manuel Giuliani, Amy Isard, and Oliver Lemon. Handling uncertain input in multi-user human-robot interaction. In Robot and Human Interactive Communication, 2014 RO- MAN:The 23rd IEEEInternationalSymposium on, pages312–317. IEEE,2014. [14] Elias N Malamas, Euripides GM Petrakis, Michalis Zervakis, Laurent Petit, and Jean-Didier Legat. A survey on industrial visionsystems, applicationsand tools. Image andvision computing, 21(2):171–188, 2003. [15] George Michalos, Sotiris Makris, Panagiota Tsarouchi, Toni Guasch, Dimitris Kontovrakis, and George Chrys- solouris. Designconsiderations for safehuman-robotcollaborativeworkplaces. ProcediaCIRP, 37:248–253,2015. [16] Carlos Morato, Krishnanand N Kaipa, Boxuan Zhao, and Satyandra K Gupta. Toward safe human robot collabora- tion by using multiple kinects based real-time human tracking. Journal of Computing and Information Science in Engineering, 14(1):011006,2014. [17] BojanNemec,AndrejGams,MihaDenisa, andAlesUde. Human-robotcooperation throughforceadaptationusing dynamic motion primitives and iterative learning. In Robotics and Biomimetics (ROBIO), 2014 IEEE International Conferenceon, pages 1439–1444. IEEE, 2014. [18] Masahiro Ono, Brian C Williams, and Lars Blackmore. Probabilistic planning for continuous dynamic systems underbounded risk. Journalof Artificial IntelligenceResearch, pages 511–577,2013. [19] Christian Ott, Alexander Dietrich, and Alin Albu-Scha¨ffer. Prioritized multi-task compliance control of redundant manipulators. Automatica, 53:416–423, 2015. [20] Lucas Paletta, Katrin Santner, Gerald Fritz, Heinz Mayer, and Johann Schrammel. 3d attention: measurement of visual saliencyusingeye trackingglasses. InCHI’13ExtendedAbstractsonHumanFactors inComputingSystems, pages 199–204.ACM, 2013. [21] Patrik Polatsek, Wanda Benesova, Lucas Paletta, and Roland Perko. Novelty-based spatiotemporal saliency detec- tion forprediction ofgaze in egocentricvideo. IEEE SignalProcessingLetters, 23(3):394–398,2016. [22] Erich Rome, Lucas Paletta, Erol S¸ahin, Georg Dorffner, Joachim Hertzberg, Ralph Breithaupt, Gerald Fritz, Jo¨rg Irran, Florian Kintzler, Christopher Lo¨rken, et al. The MACS project: an approach to affordance-inspired robot control. InTowards affordance-based robot control, pages 173–210.Springer, 2008. [23] S Rusinkiewicz and M Levoy. Efficient variants of the icp algorithm. In Third International Conference on 3-D Digital Imaging andModeling, pages 145–152,2001. [24] Giovanna Sansoni, Marco Trebeschi, and Franco Docchio. State-of-the-art and applications of 3d imaging sensors in industry, cultural heritage,medicine, andcriminal investigation. Sensors, 9(1):568–601,2009. [25] JulieA Shah. Fluid coordination ofhuman-robot teams. PhDthesis, Massachusetts Institute ofTechnology,2011. [26] Aaron Steinfeld, Terrence Fong, David Kaber, Michael Lewis, Jean Scholtz, Alan Schultz, and Michael Goodrich. Common metrics for human-robot interaction. In Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction, pages 33–40.ACM,2006. [27] Lorenza Tiberio, Amedeo Cesta, and Marta Olivetti Belardinelli. Psychophysiological methods to evaluate userÆs response inhuman robot interaction: a review andfeasibility study. Robotics, 2(2):92–121,2013. [28] Hideaki Uchiyama and Hideo Saito. Random dot markers. In Virtual Reality Conference (VR), 2011 IEEE, pages 35–38. IEEE,2011. [29] George Vosselman and Johan WH Tangelder. 3d reconstruction of industrial installations by constrained fitting of cad models to images. InMustererkennung2000, pages285–292. Springer, 2000. [30] Johann Wentzel, Daniel J Rea, James E Youn, and Ehud Sharlin. Shared presence and collaboration using a co- located humanoid robot. In Proceedings of the 3rd International Conference on Human-Agent Interaction, pages 273–276. ACM,2015. [31] ChrisWickens, JasonMcCarley,LisaThomas,ModelInDCFoyle,AGoodman,andBLHooey. Attention-situation awareness (a-sa) model. In NASA Aviation Safety Program Conference on Human Performance Modeling of Ap- proach andLanding withAugmentedDisplays, page189, 2003. [32] ChristopherDWickens,JohnDLee,YiliLiu,andSallieGordon-Becker. Introductiontohumanfactorsengineering. 1998. [33] MartinZirkl,AnurakSawatdee,UtaHelbig,MarkusKrause,GregorScheipl,ElkeKraker,PeterAnderssonErsman, David Nilsson, Duncan Platt, Peter Bodo¨, et al. An all-printed ferroelectric active matrix sensor network based on only five functional materials forming a touchless control interface. Advanced Materials, 23(18):2069–2074, 2011. 136
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Proceedings OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Titel
Proceedings
Untertitel
OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Autoren
Peter M. Roth
Kurt Niel
Verlag
Verlag der Technischen Universität Graz
Ort
Wels
Datum
2017
Sprache
englisch
Lizenz
CC BY 4.0
ISBN
978-3-85125-527-0
Abmessungen
21.0 x 29.7 cm
Seiten
248
Schlagwörter
Tagungsband
Kategorien
International
Tagungsbände

Inhaltsverzeichnis

  1. Learning / Recognition 24
  2. Signal & Image Processing / Filters 43
  3. Geometry / Sensor Fusion 45
  4. Tracking / Detection 85
  5. Vision for Robotics I 95
  6. Vision for Robotics II 127
  7. Poster OAGM & ARW 167
  8. Task Planning 191
  9. Robotic Arm 207
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