Solving the optimal force distribution problem in vehicles

2002 ◽  
Author(s):  
Jeng-Shi Chen ◽  
Fan-Tien Cheng ◽  
Kai-Tarng Yang ◽  
Fan-Chu Kung ◽  
York-Yin Sun
Keyword(s):  
Force Distribution ◽  
Distribution Problem ◽  
Optimal Force ◽  
Optimal Force Distribution

A Neurofuzzy Knowledge Based Architecture for Robotic Hand Manipulation Forces Learning

2013 ◽  
Vol 3 (2) ◽  
pp. 16-38 ◽  
Author(s):  
Ebrahim Mattar
Keyword(s):  
Force Distribution ◽  
Robotic Hand ◽  
Knowledge Based ◽  
Optimal Force ◽  
Learning Technique ◽  
Optimization Formulation ◽  
Hand Grasp ◽  
Optimal Set ◽  
Dextrous Hand ◽  
Optimal Force Distribution

Optimal distribution of forces for manipulation by a robot hand, is a hard computational issue, specifically once a whole hand grasp is needed. It becomes a complicated issue, once a robotic hand is equipped with human like deformable sensory touching materials. For computing optimal set of manipulation forces, grip transform and inverse hand Jacobian play major roles for such purposes. This manuscript is discussing a Neurofuzzy learning technique for learning optimal force distribution by a dextrous hand. For learning purposes, optimal set of forces patterns were gathered in advanced using optimization formulation technique. After that, to let a Neurofuzzy system to learn the nonlinear kinematics-dynamics relations needed for force distribution. This is done by considering the computational requirements for the inverse hand Jacobian, in addition to the interaction between hand fingers and the object. Training patterns clustering, and generation of the fuzzy initial memberships, and updated shape of memberships, are considered as vital information to build upon for more reasoning of fuzzy interrelation. The technique is novel in a sense, that the adopted Neurofuzzy architecture was transparent in terms of revealing the learned hand optimal forces if then rules.

scholarly journals Minimizing the Energy Consumption for a Hexapod Robot Based on Optimal Force Distribution

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 5393-5406 ◽  
Author(s):  
Guanyu Wang ◽  
Liang Ding ◽  
Haibo Gao ◽  
Zongquan Deng ◽  
Zhen Liu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Force Distribution ◽  
Hexapod Robot ◽  
Optimal Force ◽  
Optimal Force Distribution

An optimal force distribution scheme for cooperating multiple robot manipulators

Robotica ◽  
1993 ◽  
Vol 11 (1) ◽  
pp. 49-59 ◽  
Author(s):  
Yong Dal Shin ◽  
Myung Jin Chung
Keyword(s):  
Efficient Method ◽  
Optimal Solution ◽  
Inequality Constraints ◽  
Force Distribution ◽  
Weak Point ◽  
Contact Points ◽  
Optimal Force ◽  
Distribution Scheme ◽  
Equality And Inequality Constraints ◽  
Optimal Force Distribution

SUMMARYIn this paper, we suggest an optimal force distribution scheme by weak point force minimization and we also present an efficient method to solve the problem. The concept of a weak point is a generalized one which is applicable to any points of interest, as well as joints or contact points between end-effectors and an object. The problem is formulated by a quadratic objective function of the forces exerted at weak points subject to the linear equality and inequality constraints, and its optimal solution is obtained by an efficient method. As regards the solution of the problem, the original problem is reformulated to a reduced order dual problem after the equality constraints are eliminated by force decomposition.

Grasping, coordination and optimal force distribution in multifingered mechanisms

Robotica ◽  
1994 ◽  
Vol 12 (3) ◽  
pp. 243-251 ◽  
Author(s):  
P. Gorce ◽  
C. Villard ◽  
J. G. Fontaine
Keyword(s):  
Interaction Model ◽  
Force Distribution ◽  
Distribution Problem ◽  
Inverse Dynamic ◽  
Kinematic Chains ◽  
Object Interaction ◽  
Control Command ◽  
Optimal Force ◽  
Gripper Systems ◽  
The Coordinator

SUMMARYIn the field of multifingered mechanisms the control/command problem is mainly a problem o1 coordination. The problem is not only to coordinate joints of a chains but also to coordinate the different chains together.This paper presents a general and efficient method for implementing the control/command of such systems, taking into account the force distribution problem. To solve this problem it is necessary to pay great attention to dynamic effects. To do this, we broke down the Inverse Dynamic Model (I.D.M.) problem into two main levels; One level is devoted to I.D.M. computation; it can be called the Finger Level (F.L.). As we wanted to divide up the work to be done as much as possible, we subdivided the Finger Level according to the number o1 kinematic chains. In addition, we considered a second level, the Coordinator. This level has to control all the chains using the Fingers-to-Object-Interaction Model (F.O.LM.).Next, we will also introduce new grasping systems: Polyvalent Gripper Systems (P.G.S). There are a new solution to multicomponent assembly problems. As they can be equipped with several multifingered mechanisms, they can also use the control/command scheme.

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