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Learning Dynamic Spatial Relations
Andreas Bihlmaier describes a novel method to model dynamic spatial relations by machine learning techniques. The method is applied to the task of representing the tacit knowledge of a trained camera assistant in minimally-invasive surgery. The model is then used for intraoperative control of a robot that autonomously positions the endoscope. Furthermore, a modular robotics platform is described, which forms the basis for this knowledge-based assistance system. Promising results from a complex phantom study are presented.
Intelligent Autonomous Systems 13
This book describes the latest research accomplishments, innovations, and visions in the field of robotics as presented at the 13th International Conference on Intelligent Autonomous Systems (IAS), held in Padua in July 2014, by leading researchers, engineers, and practitioners from across the world. The contents amply confirm that robots, machines, and systems are rapidly achieving intelligence and autonomy, mastering more and more capabilities such as mobility and manipulation, sensing and perception, reasoning, and decision making. A wide range of research results and applications are covered, and particular attention is paid to the emerging role of autonomous robots and intelligent systems in industrial production, which reflects their maturity and robustness. The contributions have been selected through a rigorous peer-review process and contain many exciting and visionary ideas that will further galvanize the research community, spurring novel research directions. The series of biennial IAS conferences commenced in 1986 and represents a premiere event in robotics.
Simulation, Modeling, and Programming for Autonomous Robots
This book constitutes the refereed proceedings of the 4th International Conference on Simulation, Modeling, and Programming for Autonomous Robots, SIMPAR 2014, held in Bergamo, Italy, in October 2014. The 49 revised full papers presented were carefully reviewed and selected from 62 submissions. The papers are organized in topical sections on simulation, modeling, programming, architectures, methods and tools, and systems and applications.
Robot Operating System (ROS)
The objective of this book is to provide the reader with a comprehensive coverage on the Robot Operating Systems (ROS) and latest related systems, which is currently considered as the main development framework for robotics applications. The book includes twenty-seven chapters organized into eight parts. Part 1 presents the basics and foundations of ROS. In Part 2, four chapters deal with navigation, motion and planning. Part 3 provides four examples of service and experimental robots. Part 4 deals with real-world deployment of applications. Part 5 presents signal-processing tools for perception and sensing. Part 6 provides software engineering methodologies to design complex software with ROS. Simulations frameworks are presented in Part 7. Finally, Part 8 presents advanced tools and frameworks for ROS including multi-master extension, network introspection, controllers and cognitive systems. This book will be a valuable companion for ROS users and developers to learn more ROS capabilities and features.
Parameteranalyse eines redundanten Roboters mit Pivotpunkt-Restriktion
Nowadays robots are used not only in production lines, but also in the field of medicine. In this thesis an analysis was performed which relates to a serial, redundant robot and its parameters. The pivot point restriction results from the minimally invasive surgical scenario. The parameter analysis evaluates the robot performance by indicators, which depend on the selected parameters and the operating area.
Programming Robots with ROS
Want to develop novel robot applications, but don’t know how to write a mapping or object-recognition system? You’re not alone, but you’re certainly not without help. By combining real-world examples with valuable knowledge from the Robot Operating System (ROS) community, this practical book provides a set of motivating recipes for solving specific robotics use cases. Ideal for enthusiasts, from students in robotics clubs to professional robotics scientists and engineers, each recipe describes a complete solution using ROS open source libraries and tools. You’ll learn how to complete tasks described in the recipes, as well as how to configure and recombine components for other tasks....
Patterns of Dis|Order
[Text is in German] Patterns of Dis|Order erforscht die Facetten und Produktivitaet des Wissens um Un|Ordnung. Die Beitraege dieses Bandes thematisieren Un|Ordnung nicht nur als einen wissenschaftlichen und k�nstlerischen (Schoepfungs-) Prozess, sondern auch als sein Gegenteil. Sie diskutieren den Menschen als Stoerfaktor fuer eine ideale Ordnung und ihre Bedingung sowie die Frage, wie Ordnungssysteme und Wissensordnungen konstituiert, stabilisiert und irritiert werden. Das Rauschen - den Strich - in der Un|Ordnung zu beobachten und die Grenze zwischen beiden (mit zu) denken, ist hierbei ein besonderes Ziel der Autoren dieses Buches, das erste Ansaetze fuer eine interdisziplinaere Kulturgeschichte der Un|Ordnung vorschlaegt. Markus Wierschem lehrt Amerikanistik u. Didaktik an der Universitaet Paderborn. Er promoviert zur Trias von Gewalt, Mythos und Entropie im apokalyptischen Romanwerk Cormac McCarthys. Anna-Sophie Juergens promovierte zur "Poetik des Zirkus" (Komparatistik) an der LMU Muenchen. Gef�rdert von der Humboldt-Stiftung arbeitet sie derzeit als Postdoc an der Australian National University, Canberra.
Wissensbasierte Planung für die minimal-invasive Chirurgie
In der minimal-invasiven Chirurgie ist die Wahl der Zugänge für den Erfolg einer Operation entscheidend. Beim Einsatz eines Robotersystems besteht Kollisionsgefahr der Roboterarme. Die vorgestellte wissensbasierte Planung ermöglicht effizientere und effektivere Operationen. Der Operationsablauf wird erlernt und in einer probabilistischen Wissensbasis gespeichert. Das Wissen wird zudem für ein prädiktives Kameraführungssystem genutzt. Die Metaheuristik STO wird vorgestellt.
Medicine Meets Virtual Reality 22
In the early 1990s, a small group of individuals recognized how virtual reality (VR) could transform medicine by immersing physicians, students and patients in data more completely. Technical obstacles delayed progress but VR is now enjoying a renaissance, with breakthrough applications available for healthcare. This book presents papers from the Medicine Meets Virtual Reality 22 conference, held in Los Angeles, California, USA, in April 2016. Engineers, physicians, scientists, educators, students, industry, military, and futurists participated in its creative mix of unorthodox thinking and validated investigation. The topics covered include medical simulation and modeling, imaging and visualization, robotics, haptics, sensors, physical and mental rehabilitation tools, and more. Providing an overview of the state-of-the-art, this book will interest all those involved in medical VR and in innovative healthcare, generally.
