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Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory 1 Introduction To Neural Networks.

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Presentation on theme: "Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory 1 Introduction To Neural Networks."— Presentation transcript:

1 Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory 1 Introduction To Neural Networks Part III Application To Robotics Prof. George Papadourakis, Ph.D.

2 Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory Slide 2 Intelligent Autonomous Control Hierarchical Levels of operation Management Level Coordination Level Execution Level Human/ Other Systems Process / Hardware Sensory Data Robot manipulators Control Failure Identification Tuning, Scheduling, Path Planning Crisis Management User Interface Monitoring, Performance, Goal planning.

3 Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory Slide 3 Case Study: Ship Steering Map of islands for an autonomous navigation ship. Controller Architecture for cargo Steering Neural Network

4 Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory Slide 4 Why Neural Networks ? Non linearity Non linear models are difficult to build. Assuming linearity NN Flexibly maps almost any non-linear function. Multivariate nature. NN can map multiple cross input-output couplings. On line training for adaptive system identification. Parallel processing devices.

5 Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory Slide 5 System Identification Illustration of control problem Neural network configuration for system identification a) Forward identification b)Inverse identification SYSTEM IDENTIFICATION: The formulation of a mathematical model of a system from experimental data.

6 Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory Slide 6 Basic control architecture Feedforward control with plant inverse learning. Back propagation of errors thought time.

7 Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory Slide 7 Control of a robotic manipulator Feed forward control of a Robotic Arm.

8 Technological Educational Institute Of Crete Department Of Applied Informatics and Multimedia Neural Networks Laboratory Slide 8 Path Planning and Obstacle avoidance a) Before training, b) 1, c) 5 training cycles Block diagram of the navigation system. Specialized NNs perform different tasks.


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