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Solving kinematic motion is a challenging field of research which is relevant for various applications in character animation and robotics. This paper presents a novel and fast hybrid evolutionary algorithm for inverse kinematics which can handle fully constrained and highly articulated geometries with multiple end effectors and individual objectives. Several experiments on the 42 DoF human body mannequin...
This paper presents a novel biologically-inspired approach to solving the inverse kinematics problem efficiently on arbitrary joint chains. It provides high accuracy, convincing success rates and is capable of finding suitable solutions for full pose objectives in real-time while incorporating joint constraints. The algorithm tackles the problem by evolutionary optimization and merges the benefits...
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