Industrial robotics: theory, modelling and control

This book is a collection of 34 peer-reviewed technical papers from robotics experts from all around the world. This collection of work covers a wide range of new developments in the areas of industrial manipulator control, trajectory planning, cooperative control of multiple robot arms to accomplish a common task, inverse kinematics, vision-based feedback control of robot arms, force and compliance control, to name just a few. Robot arm developers, machine designers and mechatronics experts are sure to glean many new useful methods and techniques from this book

Managerial Robotics: a Model of Sociality and Autonomy for Robots Managing Human Beings and Machines

Background. The development of robots with increasingly sophisticated decision-making and social capacities is opening the door to the possibility of robots carrying out the management functions of planning, organizing, leading, and controlling the work of human beings and other machines. Research aims. In this paper we study the relationship between two traits that impact a robot’s ability to effectively perform management functions: those of autonomy and sociality. Method. Using an assessment instrument we evaluate the levels of autonomy and sociality of 35 robots that have been created for use in a wide range of industrial, domestic, and governmental contexts, along with several kinds of living organisms with which such robots can share a social space and which may provide templates for some aspects of future robotic design. We then develop a two-dimensional model that classifies the robots into 16 different types, each of which offers unique strengths and weaknesses for the performance of management functions. Key findings. Our data suggest correlations between autonomy and sociality that could potentially assist organizations in identifying new and more effective management applications for existing robots and aid roboticists in designing new kinds of robots that are capable of succeeding in particular management roles

Managerial Robotics: a Model of Sociality and Autonomy for Robots Managing Human Beings and Machines

Background. The development of robots with increasingly sophisticated decision-making and social capacities is opening the door to the possibility of robots carrying out the management functions of planning, organizing, leading, and controlling the work of human beings and other machines. Research aims. In this paper we study the relationship between two traits that impact a robot’s ability to effectively perform management functions: those of autonomy and sociality. Method. Using an assessment instrument we evaluate the levels of autonomy and sociality of 35 robots that have been created for use in a wide range of industrial, domestic, and governmental contexts, along with several kinds of living organisms with which such robots can share a social space and which may provide templates for some aspects of future robotic design. We then develop a two-dimensional model that classifies the robots into 16 different types, each of which offers unique strengths and weaknesses for the performance of management functions. Key findings. Our data suggest correlations between autonomy and sociality that could potentially assist organizations in identifying new and more effective management applications for existing robots and aid roboticists in designing new kinds of robots that are capable of succeeding in particular management roles

Human-Robot Interaction Control for Industrial Robot Arm through Software Platform for Agents and Knowledge Management

At present, industrial robot arms have been widely adopted in many areas. Unfortunately, operation of them is not easy to master for workers due t

The Future of Humanoid Robots

This book provides state of the art scientific and engineering research findings and developments in the field of humanoid robotics and its applications. It is expected that humanoids will change the way we interact with machines, and will have the ability to blend perfectly into an environment already designed for humans. The book contains chapters that aim to discover the future abilities of humanoid robots by presenting a variety of integrated research in various scientific and engineering fields, such as locomotion, perception, adaptive behavior, human-robot interaction, neuroscience and machine learning. The book is designed to be accessible and practical, with an emphasis on useful information to those working in the fields of robotics, cognitive science, artificial intelligence, computational methods and other fields of science directly or indirectly related to the development and usage of future humanoid robots. The editor of the book has extensive R&D experience, patents, and publications in the area of humanoid robotics, and his experience is reflected in editing the content of the book

Industrial Robotics

This book covers a wide range of topics relating to advanced industrial robotics, sensors and automation technologies. Although being highly technical and complex in nature, the papers presented in this book represent some of the latest cutting edge technologies and advancements in industrial robotics technology. This book covers topics such as networking, properties of manipulators, forward and inverse robot arm kinematics, motion path-planning, machine vision and many other practical topics too numerous to list here. The authors and editor of this book wish to inspire people, especially young ones, to get involved with robotic and mechatronic engineering technology and to develop new and exciting practical applications, perhaps using the ideas and concepts presented herein