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Robot dynamics: A recursive algorithm for efficient calculation of Christoffel symbols

Article dans une revue avec comité de lecture
Auteur
SAFEEA, Mohammad
164378 Faculty of Sciences and Technology [Coimbra]
NETO, Pedro
164378 Faculty of Sciences and Technology [Coimbra]
ccBEAREE, Richard
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]

URI
http://hdl.handle.net/10985/17237
DOI
10.1016/j.mechmachtheory.2019.103589
Date
2019
Journal
Mechanism and Machine Theory

Résumé

Christoffel symbols of the first kind are very important in robot dynamics. They are used for tuning various proposed robot controllers, for determining the bounds on Coriolis/Centrifugal matrix, for mathematical formulation of optimal trajectory calculation, among others. In the literature of robot dynamics, Christoffel symbols of the first kind are calculated from Lagrangian dynamics using an off-line generated symbolic formula. In this study we present a novel and efficient recursive, non-symbolic, method where Christoffel symbols of the first kind are calculated on-the-fly based on the inertial parameters of robot’s links and their transformation matrices. The proposed method was analyzed in terms of execution time, computational complexity and numerical error. Results show that the proposed algorithm compares favorably with existing methods.

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Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • A Modified DLS Scheme With Controlled Cyclic Solution for Inverse Kinematics in Redundant Robots 
    Article dans une revue avec comité de lecture
    ccSAFEEA, Mohammad; ccRICHARD, BEAREE; ccNETO, Pedro (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Redundancy in robotic manipulators has many advantages. It is successfully used to achieve better dexterity, and to avoid obstacles, singularities, or the kinematic limitations. However, redundancy makes the inverse ...
  • An integrated framework for collaborative robot-assisted additive manufacturing 
    Article dans une revue avec comité de lecture
    SAFEEA, Mohammad; NETO, Pedro; ccBEAREE, Richard (Elsevier BV, 2022-09)
    Additive manufacturing (AM) is revolutionizing industry, allowing to prototype and fabricate custom-made parts with complex geometries rapidly and at an affordable cost. The use of robots to perform AM has great potentials ...
  • Collision Avoidance of Redundant Robotic Manipulators Using Newton’s Method 
    Article dans une revue avec comité de lecture
    SAFEEA, Mohammad; NETO, Pedro; ccBEAREE, Richard (Springer Verlag, 2020)
    This study investigates the application of Newton method to the problems of collision avoidance and path planning for robotic manipulators, especially robots with high Degrees of Freedom (DOF). The proposed algorithm applies ...
  • Efficient Calculation of Minimum Distance Between Capsules and Its Use in Robotics 
    Article dans une revue avec comité de lecture
    SAFEEA, Mohammad; NETO, Pedro; ccBEAREE, Richard (IEEE, 2018)
    The problem of minimum distance calculation between line-segments/capsules, in 3D space, is an important subject in many engineering applications, spanning CAD design, computer graphics, simulation, and robotics. In the ...
  • On-line collision avoidance for collaborative robot manipulators by adjusting off-line generated paths: An industrial use case 
    Article dans une revue avec comité de lecture
    SAFEEA, Mohammad; NETO, Pedro; ccBEAREE, Richard (Elsevier, 2019)
    Human–robot collision avoidance is a key in collaborative robotics and in the framework of Industry 4.0. It plays an important role for achieving safety criteria while having humans and machines working side-by-side in ...

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