2013 IEEE International Conference on Mechatronics (ICM) 2013
DOI: 10.1109/icmech.2013.6519110
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Development of a dynamic simulator for a compliant humanoid robot based on a symbolic multibody approach

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Cited by 38 publications
(23 citation statements)
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References 13 publications
(14 reference statements)
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“…2, a 2D cart-table model is constructed using the rigid body dynamics simulator ROBOTRAN [15]. The parameters used for this simulation are as follows.…”
Section: A Simulation Study Imentioning
confidence: 99%
“…2, a 2D cart-table model is constructed using the rigid body dynamics simulator ROBOTRAN [15]. The parameters used for this simulation are as follows.…”
Section: A Simulation Study Imentioning
confidence: 99%
“…The development of this simulator is still ongoing and so far it has been used in a number of dynamic simulation studies [11], [12] and [13]. Further details regarding the development of the model and simulator can be found in [7] and [10].…”
Section: The Compliant Joint Dynamic Simulatormentioning
confidence: 99%
“…This section provides an overview of the recently released open source Compliant joint simulator [7], [8], which is based on Robotran multi-body modeling tool [9]. This simulator uses the mathematical equations of the 23 DoF (Degrees of Freedom) COMAN robot (Newton-Euler), generated and optimized symbolically as opposed to numerical models.…”
Section: The Compliant Joint Dynamic Simulatormentioning
confidence: 99%
“…A symbolic modelling and dynamic simulation of robotic manipulators with compliant links and joints was proposed by Cetinkunt and Book (1989), where commercial symbolic computation was done in tools like SMP, MACSYMA and REDUCE to simulate a two-link manipulator. A dynamic simulator for compliant humanoid robot (CoMan) was reported by Dallali et al (2013), which generated symbolic dynamic equations that can be used in MATLAB or C to carry out analysis. Symbolic computations are inherently slow and restrict users to analyse only smaller models.…”
Section: Introductionmentioning
confidence: 99%