INVERSE KINEMATICS SOLUTION OF ARTICULATED ROBOTS USING A HEURISTIC APPROACH FOR OPTIMIZING JOINT DISPLACEMENT

Inverse Kinematics Solution of Articulated Robots Using a Heuristic Approach for Optimizing Joint Displacement

In this work, a new constrained numerical optimization approach is proposed for solving offline the Inverse Kinematics Problem (IKP) of articulated robots, which consists on optimizing the joint displacement while the end effector is positioned and oriented in a desired Santoku Knives pose.The novelty of this approach is in the formulation of the o

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A New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection

Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the Canis lupus wolves.It has been extensively employed to a variety of practical applications.Crow search algorithm (CSA) is a recently proposed metaheuristic algorithm, which mimics the intellectual conduct of crows.In this paper, a hybrid GWO with CSA, namel

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