Executive Development Programme in AI Robotics: Robotics Vision
-- ViewingNowThe Executive Development Programme in AI Robotics: Robotics Vision is a certificate course that focuses on the rapidly growing field of robotics and artificial intelligence. This program emphasizes the importance of robotics vision, a critical aspect of AI robotics that deals with enabling robots to interpret and navigate the world visually.
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⢠Introduction to AI Robotics: Understanding the basics of artificial intelligence and robotics, including the history, current state, and future potential of AI robotics. This unit will provide a solid foundation for further study in the field.
⢠Robotics Vision Fundamentals: An overview of the principles and techniques used in robotics vision, including image processing, computer vision, and machine learning algorithms. This unit will cover the essential concepts and tools required to build and implement robotics vision systems.
⢠Object Detection and Recognition: This unit will focus on the specific techniques and algorithms used for detecting and recognizing objects in images and videos. Participants will learn about popular object detection models such as YOLO, SSD, and Faster R-CNN, as well as deep learning techniques for image classification.
⢠3D Computer Vision and SLAM: An exploration of the techniques used for 3D computer vision and simultaneous localization and mapping (SLAM). Participants will learn about depth cameras, LiDAR, and stereo vision, as well as the algorithms used for 3D reconstruction and navigation.
⢠Robotics Perception and Sensor Fusion: An in-depth study of the various sensors used in robotics and the techniques for fusing sensor data to improve perception and decision-making. Participants will learn about the strengths and weaknesses of different sensor modalities, as well as the algorithms used for data fusion.
⢠Deep Learning for Robotics Vision: An advanced exploration of deep learning techniques for robotics vision, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Participants will learn about the latest research in deep learning for robotics vision and how to apply these techniques to real-world problems.
⢠Robotics Vision Applications: A survey of the various applications of robotics vision, including autonomous vehicles, industrial automation, healthcare, and entertainment. Participants will learn about the current state of these applications and the future potential of robotics vision technology.
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