Robot Programming A Practical Guide To Behavior Based Robotics Pdf
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Robot Programming
Author: Joe Jones
language: en
Publisher: McGraw Hill Professional
Release Date: 2004-01-02
* Teaches the concepts of behavior-based programming through text, programming examples, and a unique online simulator robot * Explains how to design new behaviors by manipulating old ones and adjusting programming * Does not assume reader familiarity with robotics or programming languages * Includes a section on designing your own behavior-based system from scratch
Autonomous Robotics
Author: Fouad Sabry
language: en
Publisher: One Billion Knowledgeable
Release Date: 2021-08-17
What Is Autonomous Robotics An autonomous robot is a robot that conducts behaviors or performs tasks autonomously (without external influence). Autonomous robotics is commonly regarded as a branch of artificial intelligence, robotics, and information engineering. How You Will Benefit - Answering the public top questions about autonomous robotics. - Real world examples for the usage of robots in many industries and corporations. - 17 appendices to explain, briefly, 266 emerging technology in each industry to have 360-degree full understanding of robotics' technologies. - Insights, and validations about the following topics: Chapter 1: Autonomous Robot Chapter 2: Behavior-Based Robotics Chapter 3: Robot Learning Chapter 4: Cloud Robotics Chapter 5: Ubiquitous Robot Chapter 6: Swarm Robotics Chapter 7: Fog robotics Chapter 8: Robotic Sensing Chapter 9: Robotic sensors Chapter 10: Robot navigation Chapter 11: Simultaneous localization and mapping Chapter 12: Teleoperation Chapter 13: Telerobotics Chapter 14: Bio-inspired robotics Chapter 15: Biorobotics Chapter 16: Cognitive robotics Chapter 17: Developmental robotics Chapter 18: Domestic robot Chapter 19: Evolutionary robotics Chapter 20: Humanoid robot Chapter 21: Microbotics Chapter 22: Robotics Chapter 23: Industrial robot Chapter 24: PatrolBot Chapter 25: Amazon Scout Chapter 26: RoboBee Chapter 27: Robomow Chapter 28: Wake-up robot problem Chapter 29: Kidnapped robot problem Chapter 30: Three Laws of Robotics Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of robot.
From AI to Robotics
From AI to Robotics: Mobile, Social, and Sentient Robots is a journey into the world of agent-based robotics and it covers a number of interesting topics, both in the theory and practice of the discipline. The book traces the earliest ideas for autonomous machines to the mythical lore of ancient Greece and ends the last chapter with a debate on a prophecy set in the apparent future, where human beings and robots/technology may merge to create superior beings – the era of transhumanism. Throughout the text, the work of leading researchers is presented in depth, which helps to paint the socio-economic picture of how robots are transforming our world and will continue to do so. This work is presented along with the influences and ideas from futurists, such as Asimov, Moravec, Lem, Vinge, and of course Kurzweil. The book furthers the discussion with concepts of Artificial Intelligence and how it manifests in robotic agents. Discussions across various topics are presented in the book, including control paradigm, navigation, software, multi-robot systems, swarm robotics, robots in social roles, and artificial consciousness in robots. These discussions help to provide an overall picture of current day agent- based robotics and its prospects for the future. Examples of software and implementation in hardware are covered in Chapter 5 to encourage the imagination and creativity of budding robot enthusiasts. The book addresses several broad themes, such as AI in theory versus applied AI for robots, concepts of anthropomorphism, embodiment and situatedness, extending theory of psychology and animal behavior to robots, and the proposal that in the future, AI may be the new definition of science. Behavior-based robotics is covered in Chapter 2 and retells the debate between deliberative and reactive approaches. The text reiterates that the effort of modern day robotics is to replicate human-like intelligence and behavior, and the tools that a roboticist has at his or her disposal are open source software, which is often powered by crowd-sourcing. Open source meta-projects, such as Robot Operating System (ROS), etc. are briefly discussed in Chapter 5. The ideas and themes presented in the book are supplemented with cartoons, images, schematics and a number of special sections to make the material engaging for the reader. Designed for robot enthusiasts – researchers, students, or the hobbyist, this comprehensive book will entertain and inspire anyone interested in the exciting world of robots.