In-air Knotting of Rope with Dual-Arm two-Fingers Robot using Deep Predictive Learning

Author(s):  
Momomi KANAMURA ◽  
Kanata SUZUKI ◽  
Yuki SUGA ◽  
Hiroki MORI ◽  
Testuya OGATA
Keyword(s):  
Author(s):  
Hadar Ram ◽  
Dieter Struyf ◽  
Bram Vervliet ◽  
Gal Menahem ◽  
Nira Liberman

Abstract. People apply what they learn from experience not only to the experienced stimuli, but also to novel stimuli. But what determines how widely people generalize what they have learned? Using a predictive learning paradigm, we examined the hypothesis that a low (vs. high) probability of an outcome following a predicting stimulus would widen generalization. In three experiments, participants learned which stimulus predicted an outcome (S+) and which stimulus did not (S−) and then indicated how much they expected the outcome after each of eight novel stimuli ranging in perceptual similarity to S+ and S−. The stimuli were rings of different sizes and the outcome was a picture of a lightning bolt. As hypothesized, a lower probability of the outcome widened generalization. That is, novel stimuli that were similar to S+ (but not to S−) produced expectations for the outcome that were as high as those associated with S+.


2014 ◽  
Vol 39 (1) ◽  
pp. 69-80 ◽  
Author(s):  
Wen-Fu XU ◽  
Xue-Qian WANG ◽  
Qiang XUE ◽  
Bin LIANG

ROBOT ◽  
2013 ◽  
Vol 35 (2) ◽  
pp. 178 ◽  
Author(s):  
Changwu QIU ◽  
Longmei WANG ◽  
Yanwen HUANG

Author(s):  
Mengying Tang ◽  
Xiaofei Yue ◽  
Zhan Zuo ◽  
Xiaoping Huang ◽  
Yanfang Liu ◽  
...  

Author(s):  
A Josin Hippolitus ◽  
R. Senthilnathan ◽  
Omar Malla
Keyword(s):  

2021 ◽  
Vol 11 (10) ◽  
pp. 4620
Author(s):  
Niki Kousi ◽  
Christos Gkournelos ◽  
Sotiris Aivaliotis ◽  
Konstantinos Lotsaris ◽  
Angelos Christos Bavelos ◽  
...  

This paper discusses a digital twin-based approach for designing and redesigning flexible assembly systems. The digital twin allows modeling the parameters of the production system at different levels including assembly process, production station, and line level. The approach allows dynamically updating the digital twin in runtime, synthesizing data from multiple 2D–3D sensors in order to have up-to-date information about the actual production process. The model integrates both geometrical information and semantics. The model is used in combination with an artificial intelligence logic in order to derive alternative configurations of the production system. The overall approach is discussed with the help of a case study coming from the automotive industry. The case study introduces a production system integrating humans and autonomous mobile dual arm workers.


Author(s):  
Chenyu Dong ◽  
Liangliang Yu ◽  
Masaru Takizawa ◽  
Shunsuke Kudoh ◽  
Takashi Suehiro
Keyword(s):  

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