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• 1, Overview of Robotics and Microsoft Robotics Studio 2, Understanding Services 3, Visual Programming Language 4, Simulation 5, Remote Control and Navigation 6, Autonomous Roaming 7, Creating a New Hardware Interface 8, Building a Security Monitor 9, The Future of Robotics A A brief History of Artificial Intelligence B Configuring Hardware.
• (source: Nielsen Book Data)

Get the practical reference to programming robotic applications using the Microsoft Robotics Studio. Ideal for programmers familiar with Windows-based development using Microsoft Visual Studio and the Microsoft .NET Framework, this guide shows how to use the services provided in the Robotics Studio to handle navigation and remote control, speech, video, and intelligent behavior in a robotic device. It covers the Visual Programming Language included in Robotics Studio, and offers illuminating code examples in Microsoft Visual C#.
(source: Nielsen Book Data)

• About Eric Goles.- Seven things I know about them.- Distortion in automorphisms of expansive systems.- Periods in the Q2R, X2R and Kawasaki-Q2R cellular automata. .
• (source: Nielsen Book Data)

This book commemorates Eric Goles's achievements in science and engineering. Eric Goles is one of the world leaders in the field of automata and complexity. His groundbreaking discoveries are in the theory and analysis of complex systems, particularly in the field of discrete systems dynamics such as neural networks, automata networks, majority networks, bootstrap percolation models, cellular automata, computational complexity theory, discrete mathematics, and theoretical computer science. Topics include cellular automata, complex networks, models of computation, expansive systems, sandpile automata, Penrose tilings, Boolean automata, models of infection, Fibonacci trees, dominos, reversible automata, and fungal automata. The chapters are authored by world leaders in computer science, physics, mathematics, and engineering. The book will be a pleasure to explore for readers from all walks of life, from undergraduate students to university professors, from mathematicians, computer scientists, and engineers to chemists and biologists.
(source: Nielsen Book Data)

• Performance of Serial Underactuated Mechanisms: Number of Degrees of Freedom and Actuators
• Low-Cost Multi-Robot Localization
• Using torque redundancy to optimize contact forces in legged robots
• Exploiting Heterogeneity in Robotic Networks
• Variational Analysis of Snakelike Robots
• Robustness in the Presence of Task Differentiation in Robot Ensembles
• Cooperating Mobile Cable Robots:
• Deployment algorithms for dynamically constrained mobile robots
• Kalman Smoothing for Distributed Optimal Feedback Control of Unicycle Formations
• M*: A Complete Multirobot Path Planning Algorithm with Optimality Bounds
• Individual Control of Redundant Skeletal Muscles using an Exoskeleton Robot
• Synthesizing Redundancy Resolution Criteria of the Human Arm Posture in Reaching Movements.

The trend in the evolution of robotic systems is that the number of degrees of freedom increases. This is visible both in robot manipulator design and in the shift of focus from single to multi-robot systems. Following the principles of evolution in nature, one may infer that adding degrees of freedom to robot systems design is beneficial. However, since nature did not select snake-like bodies for all creatures, it is reasonable to expect the presence of a certain selection pressure on the number of degrees of freedom. Thus, understanding costs and benefits of multiple degrees of freedom, especially those that create redundancy, is a fundamental problem in the field of robotics. This volume is mostly based on the works presented at the workshop on Redundancy in Robot Manipulators and Multi-Robot Systems at the IEEE/RSJ International Conference on Intelligent Robots and Systems - IROS 2011. The workshopwas envisioned as a dialog between researchers from two separate, but obviously relatedfields of robotics: one that deals with systems having multiple degrees of freedom, including redundant robot manipulators, and the other that deals with multirobot systems. The volume consists of twelve chapters, each representing one of the two fields.

This book should be of interest to practising engineers and as a reference for academics.
(source: Nielsen Book Data)

• Chapter 1: Breaking The Surface.-
• Chapter 2: Diving from Flight.-
• Chapter 3: Aquatic Escape : Repeatable Escape with Combustion.-
• Chapter 4: Efficient water-air propulsion with a single propeller.-
• Chapter 5: Sailing and Flying with a Multimodal Robot.
• (source: Nielsen Book Data)

This book reports on the state of the art in the field of aerial-aquatic locomotion, focusing on the main challenges concerning the translation of this important ability from nature to synthetic systems, and describing innovative engineering solutions that have been applied in practice by the authors at the Aerial Robotics Lab of Imperial College London. After a general introduction to aerial-aquatic locomotion in nature, and a summary of the most important engineering achievements, the book introduces readers to important physical and mathematical aspects of the multimodal locomotion problem. Besides the basic physics involved in aerial-aquatic locomotion, the role of different phenomena happening in fluids, or those due to structural mechanics effects or to power provision, are presented in depth, across a large dimension range, from millimeters to hundreds of meters. In turn, a practice-oriented discussion on the obstacles and opportunities of miniaturization, for both robots and animals is carried out. This is followed by applied engineering considerations, which describe relevant hardware considerations involved in propulsion, control, communication and fabrication. Different case studies are analyzed in detail, reporting on the latest research carried out by the authors, and covering topics such as propulsive aquatic escape, the challenging mechanics of water impact, and a hybrid sailing and flying aircraft. Offering extensive and timely information on the design, construction and operation of small-scale robots, and on multimodal locomotion, this book provides researchers, students and professionals with a comprehensive and timely reference guide to the topic of aerial-aquatic locomotion, and the relevant bioinspired approaches. It is also expected to inspire future research and foster a stronger multidisciplinary discussion in the field.
(source: Nielsen Book Data)

• Table of Contents Assembling the Robot Unit testing of GoPiGo3 Getting started with ROS Creating the virtual two wheeled ROS robot Simulating the robot behavior in a virtual environment with Gazebo Programming in ROS: Commands and tools Robot control and simulation Virtual SLAM and navigation using Gazebo SLAM for robot navigation Applying Machine Learning in Robotics Machine Learning with OpenAI Gym on ROS Achieve a goal through Reinforcement Learning.
• (source: Nielsen Book Data)

Take your ROS skills to the next level by implementing complex robot structures in a ROS simulation Key Features Learn fundamental ROS concepts and apply them to solve navigation tasks Work with single board computers to program smart behavior in mobile robots Understand how specific characteristics of the physical environment influence your robot's performance Book DescriptionConnecting a physical robot to a robot simulation using the Robot Operating System (ROS) infrastructure is one of the most common challenges faced by ROS engineers. With this book, you'll learn how to simulate a robot in a virtual environment and achieve desired behavior in equivalent real-world scenarios. This book starts with an introduction to GoPiGo3 and the sensors and actuators with which it is equipped. You'll then work with GoPiGo3's digital twin by creating a 3D model from scratch and running a simulation in ROS using Gazebo. Next, the book will show you how to use GoPiGo3 to build and run an autonomous mobile robot that is aware of its surroundings. Finally, you'll find out how a robot can learn tasks that have not been programmed in the code but are acquired by observing its environment. You'll even cover topics such as deep learning and reinforcement learning. By the end of this robot programming book, you'll be well-versed with the basics of building specific-purpose applications in robotics and developing highly intelligent autonomous robots from scratch. What you will learn Get to grips with developing environment-aware robots Gain insights into how your robots will react in physical environments Break down a desired behavior into a chain of robot actions Relate data from sensors with context to produce adaptive responses Apply reinforcement learning to allow your robot to learn by trial and error Implement deep learning to enable your robot to recognize its surroundings Who this book is forIf you are an engineer looking to build AI-powered robots using the ROS framework, this book is for you. Robotics enthusiasts and hobbyists who want to develop their own ROS robotics projects will also find this book useful. Knowledge of Python and/or C++ programming and familiarity with single board computers such as Raspberry Pi is necessary to get the most out of this book.
(source: Nielsen Book Data)

• Introduction
• RelatedWork
• PassiveSceneRecognition
• ActiveSceneRecognition
• Evaluation
• Summary
• Appendix.

This book focuses on enabling mobile robots to recognize scenes in indoor environments, in order to allow them to determine which actions are appropriate at which points in time. In concrete terms, future robots will have to solve the classification problem represented by scene recognition sufficiently well for them to act independently in human-centered environments. To achieve accurate yet versatile indoor scene recognition, the book presents a hierarchical data structure for scenes - the Implicit Shape Model trees. Further, it also provides training and recognition algorithms for these trees. In general, entire indoor scenes cannot be perceived from a single point of view. To address this problem the authors introduce Active Scene Recognition (ASR), a concept that embeds canonical scene recognition in a decision-making system that selects camera views for a mobile robot to drive to so that it can find objects not yet localized. The authors formalize the automatic selection of camera views as a Next-Best-View (NBV) problem to which they contribute an algorithmic solution, which focuses on realistic problem modeling while maintaining its computational efficiency. Lastly, the book introduces a method for predicting the poses of objects to be searched, establishing the otherwise missing link between scene recognition and NBV estimation.
(source: Nielsen Book Data)

• Workshop
• Preamble
• Matins
• Cosmogony
• Forces
• Movement
• Laudes
• Celestial Mechanics
• Alive
• Luminary
• Prime
• Theatre of Instruments
• Curiosities
• Terce
• The Human Machine
• Philosophy
• Sext
• Objects of Research
• Mechanics
• None
• Idols and Simulacra
• Time
• Vespers
• Twilight of the Fantastic
• Miniatures
• Demiurge
• Compline
• Era of Wonders
• Fictions
• Geins.

• Las tres leyes de la robótica
• Robbie
• Sentido giratorio
• Razón
• Atrapa esa liebre
• ¡Embustero!
• El robot perdido
• Evasión
• La evidencia
• Un conflicto inevitable.

In this collection Asimov sets out the principles of robot behavior known as the Three Laws of Roboticsm, which are exemplified in a series of stories of robots gone mad, mind-reading robots, robots with a sense of humor, robot politicians, and robots who secretly run the world.