Undergraduate Certificate in Neural Networks in Robotics
-- ViewingNowThe Undergraduate Certificate in Neural Networks in Robotics is a comprehensive course that equips learners with essential skills in artificial neural networks, deep learning, and robotics. This program emphasizes the application of neural networks to robotics, control systems, and perception algorithms.
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โข Introduction to Neural Networks – basics of artificial neural networks, neuron model, network architecture, learning algorithms
โข Robotics Fundamentals – robot kinematics, dynamics, control, sensors, programming
โข Neural Networks in Robotics – applying neural networks for robot perception, navigation, manipulation, and planning
โข Deep Learning in Robotics – convolutional neural networks, recurrent neural networks, reinforcement learning for robotics
โข Computer Vision for Robotics – image processing, feature extraction, object detection, tracking, and recognition
โข Robot Perception and Learning – sensor-based learning, tactile perception, unsupervised learning, and adaptation
โข Mobile Robot Navigation – simultaneous localization and mapping (SLAM), path planning, obstacle avoidance, and mapping
โข Robot Manipulation and Grasping – force control, visual servoing, motion planning, and manipulation strategies
โข Human-Robot Interaction – natural language processing, gesture recognition, and social robotics
โข Capstone Project in Neural Networks and Robotics – designing, implementing, and testing a robotics system using neural networks
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