Increasing 3D positioning accuracy by applying its own methods - Olaru, Adrian
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1. Generalities on modern methods of optimizing 3D precision in robotics 2. Optimizing the dynamic behavior in robotics by using the intelligent dampers 3. Assisted research of the neural network parameters 4. Some methods of the inverse kinematics in robotics 5. Proper method for increasing the 3D accuracy by using the Pseudo-Inverse Jacobian Matrix Method (PIJMM) coupled with Bipolar Sigmoid Hyperbolic Tangent Neural Network with Time Delay and Recurrent Link (BSHTNN-TDRL) 6. Case study of the multi robots application by using the proper method to optimize of the 3D space trajectory 7. Conclusion and future work…mehr

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Produktbeschreibung
1. Generalities on modern methods of optimizing 3D precision in robotics 2. Optimizing the dynamic behavior in robotics by using the intelligent dampers 3. Assisted research of the neural network parameters 4. Some methods of the inverse kinematics in robotics 5. Proper method for increasing the 3D accuracy by using the Pseudo-Inverse Jacobian Matrix Method (PIJMM) coupled with Bipolar Sigmoid Hyperbolic Tangent Neural Network with Time Delay and Recurrent Link (BSHTNN-TDRL) 6. Case study of the multi robots application by using the proper method to optimize of the 3D space trajectory 7. Conclusion and future work
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Autorenporträt
Prof. Adrian Olaru finished the University Politehnica of Bucharest, Faculty of Machines and Manufacturing Systems, Romania, in 1974, head of promotion. From 1998 he worked as a full professor at the Engineering and Management of the Technological Systems Faculty of the University Polytechnica of Bucharest, Romania.