click here to download project abstract
– System Requirements
HARDWARE
REQUIREMENTS:
• System
: I3 PROCESSOR
• Hard Disk
: 300 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 15 VGA Colour.
• Mouse
: Logitech.
• Ram
: 4 gb.
SOFTWARE REQUIREMENTS:
• Operating system
: Windows
10/Ubuntu
• Coding Language
: python3
• Tool
: Virtual Box Oracle
tool/ Chrome/ Mozilla Firefox
• Dependencies :
tensorflow 1.4.1+
opencv3,
protobuf,
python3-tk
References
•
L. Wang, R. X. Gao, J. Vancza, J. Kr ´ uger, X. V. Wang, S.
Makris and ¨ G. Chryssolouris, ”Symbiotic Human-Robot
Collaborative Assembly,” CIRP Annals – Manufacturing
Technology, 2019, Vol.68, No.2, pp.701- 726.
•
P. Fankhauser, B. Michael, R. Diego, K. Ralf, H. Marco, Y. S.
Roland, Kinect v2 for mobile robot navigation: Evaluation and
modelling. In: 2015 International Conference on Advanced
Robotics (ICAR). Istanbul, 2015, pp. 388-394.
•
De Carli, D., Hohert, E., Parker, C. A., Zoghbi, S., Leonard, S.,
Croft, E., Bicchi, A, Measuring intent in human-robot
cooperative manipulation. In: 2009 IEEE International
Workshop on Haptic Audio visual Environments and Games.
Lecco, 2009, pp. 159-163.
•
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intention recognition in smart assisted living systems. In: 2008
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Changsha, 2008, pp. 954- 959.
•
Z. Wang, K. Mulling, M.P. Deisenroth, H. Ben Amor, D. Vogt,
B. ¨ Scholkopf, et al, Probabilistic movement modeling for
intention inference in human–robot interaction. The
International Journal of Robotics Research, 2013, 32(7):
841-858.
References
•
J. Elfring, R. Van De Molengraft, M. Steinbuch, Learning
intentions for improved human motion prediction. Robotics
and Autonomous Systems, 2014, 62(4): 591-602.
•
T. Petkovic, I. Markovi ´ c, I. Petrovi ´ c, Human Intention
Recognition in ´ Flexible Robotized Warehouses Based on
Markov Decision Processes. In: Iberian Robotics conference.
Seville, 2017, pp. 629-640.
•
T. Liu, J. Wang, M. Q. H. Meng, Human robot cooperation
based on human intention inference. In: IEEE International
Conference on Robotics & Biomimetics. Zhuhai, 2017.
•
X. Yu, W. He, Y. Li, C. Xue, J. Li, J. Zou, C. Yang, Bayesian
estimation of human impedance and motion intention for
