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To advance the state of the art in service robotics towards robots, which are capable of operating in an everyday environment, was the major objective of the DESIRE project (Deutsche Service Robotik Initiative - Germany Service Robotics Initiative) funded by the German Ministry of Education and Research (BMBF) under grant no.
The International Symposium of Robotics Research (ISRR) continues to be the premiere meeting of the International Foundation of Robotics Research (IFRR).
This bookcontains the proceedings of the 10th FSR, (Field and Service Robotics) which isthe leading single-track conference on applications of robotics in challengingenvironments.
This volume presents a collection of paperspresented at the 16th International Symposium of Robotic Research(ISRR). The ISRR is the longest running seriesof robotics research meetings and dates back to the very earliest days ofrobotics as a research discipline.
This volume presents a collection of papers presented at the 15th International Symposium of Robotic Research (ISRR).
This book aims at gathering roboticists, control theorists, neuroscientists, and mathematicians, in order to promote a multidisciplinary research on movement analysis.
Bernstein in the 60's on the existence of motor synergies, numerous researchers "walking on the border" of their disciplines tend to discover laws and principles underlying the human motions and how the brain reduces the redundancy of the system.
Since the quality of a visual loop closure detection algorithm is related to the image description method and its ability to index previously seen images, several methods for loop closure detection adopting different approaches are developed and assessed.
This monograph covers theoretical and practical aspects of the problem of autonomous guiding of unmanned aerial manipulators using visual information.For the estimation of the vehicle state (position, orientation, velocity, and acceleration), the authors propose a method that relies exclusively on the use of low-cost and highrate sensors together with low-complexity algorithms. This is particularly interesting for applications in which on board computation with low computation power is needed.Another relevant topic covered in this monograph is visual servoing. The authors present an uncalibrated visual servo scheme, capable of estimating at run time, the camera focal length from the observation of a tracked target.The monograph also covers several control techniques, which achieve a number of tasks, such as robot and arm positioning, improve stability and enhance robot arm motions.All methods discussed in this monograph are demonstrated in simulation and through real robot experimentation.The text is appropriate for readers interested in state estimation and control of aerial manipulators, and is a reference book for people who work in mobile robotics research in general.
This book presents the main achievements of the EuRoC (European Robotics Challenges) project, which ran from 1st January,2014 to 30th June 2018 and was funded by the European Union under the 7th Framework Programme.
Do the words borrowed from the living organisms and used to describe robots play a role in the confusion about the status of the discipline of robotics?
This book tackles all the stages and mechanisms involved in the learning of manipulation tasks by bimanual robots in unstructured settings, as it can be the task of folding clothes. The first part describes how to build an integrated system, capable of properly handling the kinematics and dynamics of the robot along the learning process.
In this book Part I presents first an overview of the ECHORD++ project, with its mission and vision together with a detailed structure of its functionalities and instruments: Experiments, Robotic Innovation Facilities and Public end-user Driven Technology Innovation PDTI.
Aerial robotic manipulation integrates concepts and technologies coming from unmanned aerial systems and robotics manipulation.
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.
This book aims at providing algorithms for balance control of legged, torque-controlled humanoid robots. Using multiple contacts increases the size of the support polygon, which in turn leads to an increased robustness of the stance and to an increased kinematic workspace of the robot.
This textbook offers a tutorial introduction to robotics and control which is light and easy to absorb. The practice of robotics and control both involve the application of computational algorithms to data.
This book presents the main achievements of the EuRoC (European Robotics Challenges) project, which ran from 1st January,2014 to 30th June 2018 and was funded by the European Union under the 7th Framework Programme.
Intended to promote the advancement of aerial physical interaction, it analyzes a particular class of aerial robots: tethered aerial vehicles.
This book aims at sharing knowledge about the technological opportunities and the main research challenges regarding robotics for logistics in supermarkets and retail stores, from the perspectives of the end-users, logistic companies, technology providers, and robotic researchers. The authors have been involved into the H2020 project Robotics Enabling Fully Integrated Logistics Lines for Supermarkets (REFILLS), aimed at improving logistics in supermarkets thanks to mobile robotic systems in close and smart collaboration with humans. The readers will find a comprehensive analysis of the main logistic processes in retail stores with possible robotized solutions, involving mechanical design, perception, and control. These technologies have been validated in realistic environments, and some of them have been tested into real supermarkets. The book is intended for a broad academic and industrial readership, including operators in the field of logistics, distribution, and retail.
This book introduces a novel model-based dexterous manipulation framework, which, thanks to its precision and versatility, significantly advances the capabilities of robotic hands compared to the previous state of the art. This is achieved by combining a novel grasp state estimation algorithm, the first to integrate information from tactile sensing, proprioception and vision, with an impedance-based in-hand object controller, which enables leading manipulation capabilities, including finger gaiting. The developed concept is implemented on one of the most advanced robotic manipulators, the DLR humanoid robot David, and evaluated in a range of challenging real-world manipulation scenarios and tasks. This book greatly benefits researchers in the field of robotics that study robotic hands and dexterous manipulation topics, as well as developers and engineers working on industrial automation applications involving grippers and robotic manipulators.
This book explores cloud robotics by casting a light on key issues and proposing a novel approach towards implementation and practical aspects to allow for the widespread adoption of cloud-based functionality. The advent of cloud robotics can to unleash a new generation of smart robotic devices by allowing robots to explore cloud computing capabilities to share data and to offload heavy processing applications. Cloud robotics is investigated as an enabler to a series of applications and devices, questioning how the insertion of network and cloud technologies into such systems might affect the interaction between a robot and the human operating it, and what are the limiting requirements for cloud-based solutions. Aiming at researchers and practitioners, this book also presents a methodology based on open-source software and commercial off-the-shelf devices to provide a common standard for reproducing and benchmarking different cloud robotics systems.
This book introduces several appearance-based place recognition pipelines based on different mapping techniques for addressing loop-closure detection in mobile platforms with limited computational resources. The motivation behind this book has been the prospect that in many contemporary applications efficient methods are needed that can provide high performance under run-time and memory constraints. Thus, three different mapping techniques for addressing the task of place recognition for simultaneous localization and mapping (SLAM) are presented. The book at hand follows a tutorial-based structure describing each of the main parts needed for a loop-closure detection pipeline to facilitate the newcomers. It mainly goes through a historical review of the problem, focusing on how it was addressed during the years reaching the current age. This way, the reader is initially familiarized with each part while the place recognition paradigms follow.
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