Trends in Control and Decision-Making for Human-Robot Collaboration Systems ab 149.99 € als pdf eBook: . Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet,
Trends in Control and Decision-Making for Human-Robot Collaboration Systems ab 160.49 EURO 1st ed. 2017
Trends in Control and Decision-Making for Human-Robot Collaboration Systems ab 149.99 EURO
Interactive service robots obtain instructions or data from human users and provide information or act to assist us in everyday tasks. For example, few such systems guide visitors through exhibitions or malls helping to educate and advertise. However, so far none of the existing systems has become an off-the-shelf product. The main challenge for such highly complex systems to achieve market breakthrough is their design using cutting-edge technology under marketing and acceptance aspects. This book presents the successful combination of two system-design approaches to meet this challenge: the V-Model, a system engineering method to structure the design to fulfill technical and commercial requirements, and the Analytic Hierarchy Process (AHP), a decision making approach based on weighted criteria to support design decisions at various system levels. The implementation of this combined system design approach is demonstrated on the development of interactive robots that now guide customers to products in home improvement stores. The general applicability is verified by the successful transfer of this approach to the design of an interactive home-care robot system.
This book is concerned with combining the perceptual abilities of mobile robots and human operators to execute tasks collaboratively. Systems which incorporate both human and robotic information sources have the potential to build complex world models, essential for both automated and human decision making. In this work, humans and robots are regarded as equal team members who interact and communicate on a peer-to-peer basis. Human-robot communication is addressed using probabilistic representations common in robotics. While communication can in general be bidirectional, this work focuses primarily on human-to-robot information flow. More specifically, the approach advocated in this book is to let robots fuse their sensor observations with observations obtained from human operators. Human-robot information fusion is experimentally demonstrated in two application domains: scalable information gathering, and collaborative decision making. The book is written for HRI researchers interested in a probabilistic, robot-centred perspective on human-robot collaboration.
A robot is a controlled manipulator, capable of performing complex tasks and decision making like the human beings. In early 1970's, robots were mostly used in mechanical industry for pick-up and placement jobs. These robots usually had a number of arms linked in a fashion looking like a humanoid with a freedom of control around the waist, the shoulder, the elbow and the wrist region of a human. The wrist region was terminated with two grippers with the provision for automatic close and open mechanism. The 1980's has seen a significant impact in mobility management of robots. Several types of robots were evolved during this period to realize the power of locomotion, translation and aeronautical prowess of the new devices. Since 1990's, the researchers in robotics took active interest to merge the main stream research in robots with the so called revolutionary theories of Artificial Intelligent (AI). The marriage between AI and robotics gave birth to different varieties of intelligent robots that could act and think like the real humans.
An approach of Artificial Neural Network (ANN) is getting used to enhance the robot's capabilities in terms of autonomous decision making. The ANN helps in learning of robot, so that it performs motion independently based on it's learning and perform assigned tasks efficiently, specially in hazardous environment that is beyond human reach. These robots are used for espionage, space research, medical services, industrial automation and many other fields. With use of Artificial Neural Network their performance improves.
This book is about Android Controlled Robot, the aim of which is to develop a virtual environment for detecting suspicious and targeted places for user without any loss of human life. Robot interacts in the same location as users control them from any place in the world using 3G and wireless networks for this purpose. Android has gained the popularity of market in this era. Similarly, Android smartphone usage also facilitates us with global positing system (GPS), camera, wireless fidelity (WiFi) and other sensors as it seems encapsulated in one package. Therefore Android operated robot has built that can be subjected to wireless operations with the help of this OS. In order to perform communication between robot and user side Android smartphone Quickblox and Firebase servers are used. Moreover, night vision circuit is also implemented onto the robot side camera, that lets the user see clearly in night to a partial extent. This feature enhances the capability of quick and effective decision-making in night.
This book provides an overview of recent research developments in the automation and control of robotic systems that collaborate with humans. A measure of human collaboration being necessary for the optimal operation of any robotic system, the contributors exploit a broad selection of such systems to demonstrate the importance of the subject, particularly where the environment is prone to uncertainty or complexity. They show how such human strengths as high-level decision-making, flexibility, and dexterity can be combined with robotic precision, and ability to perform task repetitively or in a dangerous environment.The book focuses on quantitative methods and control design for guaranteed robot performance and balanced human experience from both physical human-robot interaction and social human-robot interaction. Its contributions develop and expand upon material presented at various international conferences. They are organized into three parts covering:one-human-one-robot collaboration,one-human-multiple-robot collaboration, andhuman-swarm collaboration.Individual topic areas include resource optimization (human and robotic), safety in collaboration, human trust in robot and decision-making when collaborating with robots, abstraction of swarm systems to make them suitable for human control, modeling and control of internal force interactions for collaborative manipulation, and the sharing of control between human and automated systems, etc. Control and decision-making algorithms feature prominently in the text, importantly within the context of human factors and the constraints they impose. Applications such as assistive technology, driverless vehicles, cooperative mobile robots, manufacturing robots and swarm robots are considered. Illustrative figures and tables are provided throughout the book.Researchers and students working in controls, and the interaction of humans and robots will learn new methods for human-robot collaboration from this book and will find the cutting edge of the subject described in depth.