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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 f...
In order robots to manipulate objects of interest autonomously, the 3D information about the objects of interest is required. In order to obtain the 3D object information, various range sensors have been traditionally being used in the computer vision society. Among the available sensor types, stere...
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 f...
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 f...
In the ever-evolving field of computer vision, "Deep Learning for Object Detection and Localization" serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically ta...
This book
is devoted to one of the most famous examples of automation handling tasks –
the “bin-picking” problem. To pick up objects, scrambled in a box is an
easy task for humans, but its automation is very complex. In this book three
different approaches to solve the bin-picking problem are ...
In the ever-evolving field of computer vision, "Deep Learning for Object Detection and Localization" serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in deep learning, specifically ta...
This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The solution is based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners. As result, object...
Localization and tracking are key functionalities in ubiquitous computing systems and techniques. In recent years a very high variety of approaches, sensors and techniques for indoor and GPS-denied environments have been developed. This book briefly summarizes the current state of the art in localiz...
Localization and tracking are key functionalities in ubiquitous computing systems and techniques. In recent years a very high variety of approaches, sensors and techniques for indoor and GPS-denied environments have been developed. This book briefly summarizes the current state of the art in localiz...
This book constitutes three challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore in September 2022. The peer-reviewed 10 papers included in this volume stem from ...
This book presents the proceedings of the International Conference on Aerospace System Science and Engineering (ICASSE 2019), held in Toronto, Canada, on July 30–August 1, 2019, and jointly organized by the University of Toronto Institute for Aerospace Studies (UTIAS) and the Shanghai Jiao Tong Un...
This book
is devoted to one of the most famous examples of automation handling tasks –
the “bin-picking” problem. To pick up objects, scrambled in a box is an
easy task for humans, but its automation is very complex. In this book three
different approaches to solve the bin-picking problem are ...
This book constitutes the proceedings of the Third EAI International Conference on Intelligent Transport Systems, INTSYS 2019, which was held in Braga, Portugal, in December 2019.The 23 revised full papers were selected from 35 submissions and are organized in four thematic sessions on modelling, op...
The book reports on cutting-edge theories and methods aimed at the control and coordination of agents acting and moving in a dynamic environment. It covers a wide range of systems, including multiagent systems, domotic agents, robotic manipulators, soccer robots, autonomous and semiautonomous robots...
This book constitutes the refereed proceedings of the 10th International Symposium Conference on Artificial Intelligence and Robotics, ISAIR 2025, in Nantong, China, in August 24–26, 2025.
The 45 full papers presented in this volume were carefully reviewed and selected from 102 submissions. T...
Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision...
This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, ...