Control of Dual-User Haptic Training System With Online Authority Adjustment: An Observer-Based Adaptive Robust Scheme

2020 ◽  
Vol 28 (6) ◽  
pp. 2404-2415
Author(s):  
Mohammad Motaharifar ◽  
Hamid D. Taghirad ◽  
Keyvan Hashtrudi-Zaad ◽  
Seyed Farzad Mohammadi
Keyword(s):  
Author(s):  
Angel Ricardo Licona ◽  
Guillermo Zamora de la Pena ◽  
Oscar Diaz Cruz ◽  
Arnaud Lelevé ◽  
Damien Ebérard ◽  
...  

Robotica ◽  
2019 ◽  
Vol 38 (7) ◽  
pp. 1155-1175
Author(s):  
Fei Liu ◽  
Angel Ricardo Licona ◽  
Arnaud Lelevé ◽  
Damien Eberard ◽  
Minh Tu Pham ◽  
...  

SUMMARYThis paper introduces a dual-user training system whose design is based on an energetic approach. This kind of system is useful for supervised hands-on training where a trainer interacts with a trainee through two haptic devices, in order to practice on a manual task performed on a virtual or teleoperated robot (e.g., for an Minimally Invasive Surgery (MIS) task in a surgical context). This paper details the proof of stability of an Energy Shared Control (ESC) architecture we previously introduced for one degree of freedom (d.o.f.) devices. An extension to multiple degrees of freedom is proposed, along with an enhanced version of the Adaptive Authority Adjustment function. Experiments are carried out with 3 d.o.f. haptic devices in free motion as well as in contact contexts in order to show the relevance of this architecture.


2019 ◽  
Vol 24 (4) ◽  
pp. 1553-1564 ◽  
Author(s):  
Mohammad Motaharifar ◽  
Hamid D. Taghirad ◽  
Keyvan Hashtrudi-Zaad ◽  
Seyed Farzad Mohammadi

2020 ◽  
Vol 14 (2) ◽  
pp. 63-77
Author(s):  
Mohammad Motaharifar ◽  
Hamid Taghirad ◽  
Seyed-Farzad Mohammadi ◽  
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...  

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