Enhanced trajectory planning for machining ...
Document type :
Communication dans un congrès avec actes
Title :
Enhanced trajectory planning for machining with industrial six-axis robots
Author(s) :
Olabi, Adel [Auteur]
Béarée, Richard [Auteur]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Nyiri, Eric [Auteur]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Gibaru, Olivier [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Béarée, Richard [Auteur]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Nyiri, Eric [Auteur]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Gibaru, Olivier [Auteur]
Non-Asymptotic estimation for online systems [NON-A]
Laboratoire des Sciences de l'Information et des Systèmes [LSIS]
Conference title :
IEEE International Conference on Industrial Technology
City :
Via del Mar
Country :
Chili
Start date of the conference :
2010-03-14
Publication date :
2010-05-27
English keyword(s) :
industrial robots
interpolation
machining
splines
interpolation
machining
splines
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
This paper presents a practical approach to adapt the trajectory planning stage for industrial robots to realize continuous machining operations. Firstly, L1 interpolation is introduced to generate efficiently the tool-paths ...
Show more >This paper presents a practical approach to adapt the trajectory planning stage for industrial robots to realize continuous machining operations. Firstly, L1 interpolation is introduced to generate efficiently the tool-paths in the form of shape-preserving quintic splines. Then, the tool-tip feedrate planning in Cartesian space is done using a smooth jerk limited pattern and taking into account the joints kinematics constraints. Experimental validations conducted on a 6-axis industrial robot demonstrate the effectiveness of the proposed methodology of trajectory planning in the context of machining.Show less >
Show more >This paper presents a practical approach to adapt the trajectory planning stage for industrial robots to realize continuous machining operations. Firstly, L1 interpolation is introduced to generate efficiently the tool-paths in the form of shape-preserving quintic splines. Then, the tool-tip feedrate planning in Cartesian space is done using a smooth jerk limited pattern and taking into account the joints kinematics constraints. Experimental validations conducted on a 6-axis industrial robot demonstrate the effectiveness of the proposed methodology of trajectory planning in the context of machining.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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