Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Dynamic simulation is potentially a porful tool for studying complex contact interactions beten robots and their environments. One of the main problems of such a simulation is the determination of the model parameters which provide realistic behavior for objects.  describes how to identify such parameters for a masses/springs based system (the Robot/spl Phi/ system). This identification process is composed of two main steps: the first step consists in distributing the total mass of the object beten the different particles while respecting the inertial properties of the object; the second one consists in finding the values of the physical parameters of the model such as elasticity, viscosity, plasticity, etc. A numerical solution of the first step is described, while a genetic algorithm based approach is proposed for the second step. This approach allows us to find the values of the parameters which provide a consistent behavior under a set of given constraints (position, velocity, volume, etc). It also allows us to minimize the computation time and to attach priorities with these constraints.
['Ammar Joukhadar', 'F. Garat', 'Christian Laugier']
I am writing a research paper on a idea Parameter identification for dynamic simulation
[{"from": "human", "value": "I am writing a research paper on a idea Parameter identification for dynamic simulation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Dynamic simulation is potentially a porful tool for studying complex contact interactions beten robots and their environments. One of the main problems of such a simulation is the determination of the model parameters which provide realistic behavior for objects.  describes how to identify such parameters for a masses/springs based system (the Robot/spl Phi/ system). This identification process is composed of two main steps: the first step consists in distributing the total mass of the object beten the different particles while respecting the inertial properties of the object; the second one consists in finding the values of the physical parameters of the model such as elasticity, viscosity, plasticity, etc. A numerical solution of the first step is described, while a genetic algorithm based approach is proposed for the second step. This approach allows us to find the values of the parameters which provide a consistent behavior under a set of given constraints (position, velocity, volume, etc). It also allows us to minimize the computation time and to attach priorities with these constraints."}]