scholarly journals Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual‐Arm Grasp Recovery

2021 ◽  
pp. 2100146
Author(s):  
Giuseppe Averta ◽  
Federica Barontini ◽  
Irene Valdambrini ◽  
Paolo Cheli ◽  
Davide Bacciu ◽  
...  
Keyword(s):  
2014 ◽  
Vol 7 (1) ◽  
pp. 107
Author(s):  
Ilyes Elaissi ◽  
Okba Taouali ◽  
Messaoud Hassani

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

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):  

2021 ◽  
Vol 1820 (1) ◽  
pp. 012025
Author(s):  
Xiaoying He ◽  
Yong Zhang ◽  
Xingyu Gao ◽  
Mingfeng Li
Keyword(s):  

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