Artificial Vision and Language Processing for Robotics

Create end-to-end systems that can power robots with artificial vision and deep learning techniquesKey FeaturesStudy ROS the main development framework for robotics in detailLearn all about convolutional neural networks recurrent neural networks and roboticsCreate a chatbot to interact with the robotBook DescriptionArtificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. Youll compare different methods used to work with robots and explore computer vision its algorithms and limits. Youll then learn how to control the robot with natural language processing commands. Youll study Word2Vec and GloVe embedding techniques non-numeric data recurrent neural network (RNNs) and their advanced models. Youll create a simple Word2Vec model with Keras as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. Youll study the ROS and build a conversational agent to manage your robot. Youll also integrate your agent with the ROS and convert an image to text and text to speech. Youll learn to build an object recognition system using a video.By the end of this book youll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment.What you will learnExplore the ROS and build a basic robotic systemUnderstand the architecture of neural networksIdentify conversation intents with NLP techniquesLearn and use the embedding with Word2Vec and GloVeBuild a basic CNN and improve it using generative modelsUse deep learning to implement artificial intelligence(AI)and object recognitionDevelop a simple object recognition system using CNNsIntegrate AI with ROS to enable your robot to recognize objectsWho this book is forArtificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.