Recent advances in RbD have identified a number of key issues for ensuring a generic approach to the transfer of skills across various agents and contexts. This book focuses on the two generic questions of what to imitate and how to imitate and proposes active teaching methods.

The second edition of this handbook provides a state-of-the-art overview on the various aspects in the rapidly developing field of robotics. Reaching for the human frontier, robotics is vigorously engaged in the growing challenges of new emerging domains. Interacting, exploring, and working with humans, the new generation of robots will increasingly touch people and their lives. The credible prospect of practical robots among humans is the result of the scientific endeavour of a half a century of robotic developments that established robotics as a modern scientific discipline. The ongoing vibrant expansion and strong growth of the field during the last decade has fueled this second edition of the Springer Handbook of Robotics. The first edition of the handbook soon became a landmark in robotics publishing and won the American Association of Publishers PROSE Award for Excellence in Physical Sciences & Mathematics as well as the organization’s Award for Engineering & Technology. The second edition of the handbook, edited by two internationally renowned scientists with the support of an outstanding team of seven part editors and more than 200 authors, continues to be an authoritative reference for robotics researchers, newcomers to the field, and scholars from related disciplines. The contents have been restructured to achieve four main objectives: the enlargement of foundational topics for robotics, the enlightenment of design of various types of robotic systems, the extension of the treatment on robots moving in the environment, and the enrichment of advanced robotics applications. Further to an extensive update, fifteen new chapters have been introduced on emerging topics, and a new generation of authors have joined the handbook’s team. A novel addition to the second edition is a comprehensive collection of multimedia references to more than 700 videos, which bring valuable insight into the contents. The videos can be viewed directly augmented into the text with a smartphone or tablet using a unique and specially designed app. Springer Handbook of Robotics Multimedia Extension Portal: http://handbookofrobotics.org/

Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Chapter 3. Topics; Publishing to a Topic; Checking That Everything Works as Expected; Subscribing to a Topic; Checking That Everything Works as Expected; Latched Topics; Defining Your Own Message Types; Defining a New Message; Using Your New Message; When Should You Make a New Message Type?; Mixing Publishers and Subscribers; Summary; Chapter 4. Services; Defining a Service; Implementing a Service; Checking That Everything Works as Expected; Other Ways of Returning Values from a Service; Using a Service; Checking That Everything Works as Expected; Other Ways to Call Services; Summary.

This Open Access proceedings presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management level. Thereby, the colloquium focuses an academic exchange at a high level in order to distribute the obtained research results, to determine synergy effects and trends, to connect the actors in person and in conclusion, to strengthen the research field as well as the MHI community. In addition, there is the possibility to become acquatined with the organizing institute. Primary audience is formed by members of the scientific society for assembly, handling and industrial robotics (WGMHI). The Editors Prof. Dr.-Ing. Thorsten Schüppstuhl is head of the Institute of Aircraft Production Technology (IFPT) at the Hamburg University of Technology. Prof. Dr.-Ing. Kirsten Tracht is head of the Bremen Institute for Mechanical Engineering (bime) at the University of Bremen. Prof. Dr.-Ing. Annika Raatz is head of the Institute of Assembly Technology (match) at the Leibniz University Hannover.

Programming by Demonstration is a method that allows end users to create, customize, and extend programs by demonstrating what the program should do.

The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself. The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in a visual servo system. Additional material is provided at http://www.petercorke.com/RVC

At last, fans of the LEGO BOOST robot building kit have the learning resource they've been missing! Enter The LEGO BOOST Activity Book: a full-color guide that will help readers learn how to build and code LEGO creations that move, explore their environment, grab and lift objects, and more. The LEGO BOOST kit lets younger builders create fun, multifunctional robots by combining bricks with code, but it doesn't come with a manual. With the help of this complete guide to the LEGO BOOST set, you'll be on your way to building and programming BOOST robots in no time. You'll begin your exploration by building a basic rover robot called MARIO to help you learn the fundamentals of the BOOST programming environment. Next, you'll add features to your rover to control its movement and make it repeat actions and react to colors and sounds. Once you've learned some programming basics, you'll learn how to program your robot to do things like follow lines on the ground, scan its environment to decide where to go, and even play darts. As final projects, you'll create two complete robots: BrickPecker to help you organize your bricks and CYBOT, a robot that talks, shoots objects, and executes voice commands. As you advance through the book, optional lessons aim to deepen your understanding of basic robotics concepts. Brain BOOSter sections let you dig into the math and engineering behind your builds while a host of experiments seek to test your skills and encourage you to do more with your robots. With countless illustrations, extensive explanations, and a wealth of coding examples to guide you, The LEGO BOOST Activity Book is sure to take you from beginning builder to robotics whiz and give your robot-building brain that needed boost!

An introduction to the LEGO Mindstorms Robot Inventor Kit through seven engaging projects. With its amazing assortment of bricks, motors, and smart sensors, the LEGO® MINDSTORMS® Robot Inventor set opens the door to a physical-meets-digital world. The LEGO MINDSTORMS Robot Inventor Activity Book expands that world into an entire universe of incredibly fun, uniquely interactive robotic creations! Using the Robot Inventor set and a device that can run the companion app, you’ll learn how to build bots beyond your imagination—from a magical monster that gobbles up paper and answers written questions, to a remote-controlled transformer car that you can drive, steer, and shape-shift into a walking humanoid robot at the press of a button. Author and MINDSTORMS master Daniele Benedettelli, a robotics expert, takes a project-based approach as he leads you through an increasingly sophisticated collection of his most captivating robot models, chapter by chapter. Each project features illustrated step-by-step building instructions, as well as detailed explanations on programming your robots through the MINDSTORMS App—no coding experience required. As you build and program an adorable pet turtle, an electric guitar that lets you shred out solos, a fully functional, whiz-bang pinball machine and more, you’ll discover dozens of cool building and programming techniques to apply to your own LEGO creations, from working with gears and motors, to smoothing out sensor measurement errors, storing data in variables and lists, and beyond. By the end of this book, you’ll have all the tools, talent and inspiration you need to invent your own LEGO MINDSTORMS robots.

Industrial Robots Programming focuses on designing and building robotic manufacturing cells, and explores the capabilities of today’s industrial equipment as well as the latest computer and software technologies. Special attention is given to the input devices and systems that create efficient human-machine interfaces, and how they help non-technical personnel perform necessary programming, control, and supervision tasks. Drawing upon years of practical experience and using numerous examples and illustrative applications, J. Norberto Pires covers robotics programming as it applies to: The current industrial robotic equipment including manipulators, control systems, and programming environments. Software interfaces that can be used to develop distributed industrial manufacturing cells and techniques which can be used to build interfaces between robots and computers. Real-world applications with examples designed and implemented recently in the lab. Industrial Robots Programming has been selected for indexing by Scopus. For more information about Industrial Robotics, please find the author's Industrial Robotics collection at the iTunesU University of Coimbra channel.