References of "Voos, Holger 50003283"
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See detailIndoor Navigation for Quadrotor UAVs Using Schematic Environment Maps
Krokowicz, Tomasz; Gasca, Miguel; Voos, Holger UL et al

in IEEE 19th International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD), Budapest, 2010 (2010)

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See detailA SysML-based Integration Framework for the Engineering of Mechatronic Systems
Chami, Muhammad; Seemüller, Holger; Voos, Holger UL

in IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications (MESA), Qingdao, China, 2010 (2010)

The engineering discipline mechatronics is one of the main innovation leader in industry nowadays. With the need for an optimal synergetic integration of the involved disciplines, the engineering process ... [more ▼]

The engineering discipline mechatronics is one of the main innovation leader in industry nowadays. With the need for an optimal synergetic integration of the involved disciplines, the engineering process of mechatronic systems is faced with an increasing complexity and the interdisciplinary nature of these systems. New methods and techniques have to be developed to deal with these challenges. This document presents an approach of a SysML-based integration framework that shall deal with the complexity and bring the different disciplines together for a better cooperation and collaboration. Therefore, SysML shall be used for the overall interdisciplinary system design and simultaniously act as a link between the heterogenous model data of the discipline specific tools. [less ▲]

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See detailController Design for Quadrotor UAVs using Reinforcement Learning
Bou-Ammar, Haitham; Voos, Holger UL; Ertel, Wolfgang

in IEEE Multi-conference on Systems and Control, Yokohama, Japan, 8-10 Sept. 2010 (2010)

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See detailAGENTES- Agent-based Engineering of Mechatronic Products
Stetter, Ralf; Voos, Holger UL

in 8th Int. Symposium on Tools and Methods of Competitive Engineering TMCE 2010, Ancona, Italy (2010)

An efficient and effective engineering of mechatronic products requires support by information technology; a promising approach is the application of intelligent software agents. A current project at the ... [more ▼]

An efficient and effective engineering of mechatronic products requires support by information technology; a promising approach is the application of intelligent software agents. A current project at the Hochschule Ravensburg-Weingarten called "Agentes" is exploring this approach. This paper follows two aims. Firstly, it is intended to elucidate the application of software agents in engineering processes for mechatronic products. Secondly, it is intended to elaborate initial requirements and a framework for the application of software agents in such processes. This elaboration is based on a detailed analysis of an engineering process of a mobile robot. [less ▲]

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See detailAction Planning for Autonomous Systems with respect to Safety Aspects
Ertle, Philipp; Gamrad, Dennis; Voos, Holger UL et al

in IEEE Int. Conference on Systems Man and Cybernetics (SMC), Istanbul, Turkey, 2010 (2010)

Abstract—Autonomous systems are often needed to perform tasks in complex and dynamic environments. For this class of systems the traditional safety assuring methods are not satisfying because these ... [more ▼]

Abstract—Autonomous systems are often needed to perform tasks in complex and dynamic environments. For this class of systems the traditional safety assuring methods are not satisfying because these systems cannot be analyzed completely during development phase. In order to realize a more flexible safety analysis the internal representation of the outside world that is learned by an autonomous Cognitive Technical System is used to identify hazardous situations. The so called safety principles are the hazard knowledge. These can be added to the system prior to operating time without losing the possibility of adjusting or expanding this hazard knowledge during operating time. How these safety principles are generally designed and implemented is explained in this contribution. Furthermore, as underlying Cognitive Technical System provides anticipation capabilities it is possible to expand the planning process in order to take hazard information into account. Finally, in a simulation example is shown how the autonomous system determines possible future actions and evaluates them with regard to hazards in order to provide a plan with acceptable risk. [less ▲]

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See detailOn Risk Formalization of On-Line Risk Assessment for Safe Decision Making in Robotics
Ertle, Philipp; Voos, Holger UL; Söffker, Dirk

in 7. IARP Workshop on Technical Challenges for Dependable Robots in Human Environments, Toulouse, France, 2010 (2010)

In the near future service robots may fulfill demanding tasks in unstructured and complex human-like environments. A central challenge is to prevent such autonomous systems from provoking hazards by ... [more ▼]

In the near future service robots may fulfill demanding tasks in unstructured and complex human-like environments. A central challenge is to prevent such autonomous systems from provoking hazards by interaction with their environment, especially when it is partially unknown. Real-time risk information is seen as essential basis for safe decision making processes. Therefore, generalized and conservative safety principles are used to determine the interaction risks. The solution for formalizing safety principles and for quantifying necessary risk values is shown. [less ▲]

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See detailNonlinear Control of a Quadrotor Micro-UAV using Feedback-Linearization
Voos, Holger UL

in 5th IEEE International Conference on Mechatronics ICM, Malaga, Spain, April 2009 (2009)

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See detailAgent-based Distributed Resource Allocation in Continuous Dynamic Systems
Voos, Holger UL

in Ahmed, Salman; Karsiti, Mohd Noh (Eds.) Multiagent Systems (2009)

Intelligent agents and multiagent systems reveal new strategies to design highly flexible automation systems. There are first promising industrial applications of multiagent systems for the control of ... [more ▼]

Intelligent agents and multiagent systems reveal new strategies to design highly flexible automation systems. There are first promising industrial applications of multiagent systems for the control of manufacturing, logistics, traffic or multi-robot systems. One reason for the success of most of these applications is their nature as some form of a distributed resource allocation problem which can be addressed very well by multiagent systems. Resource allocation problems solved by agents can be further categorized into static or dynamic problems. In static problems, the allocations do not depend on time and many resource allocation problem of practical interest can be solved using these static considerations, even in discrete-event systems like manufacturing or logistic systems. However, problems especially in highly dynamic environments cannot be addressed by this pure static approach since the allocations, i.e. the decision variables, depend on time and previous states of the considered system. These problems are hardly considered in the relevant agent literature and if, most often only discrete-event systems are considered. This work focuses on agent-based distributed dynamic resource allocation problems especially in continuous production systems or other continuous systems. Based on the current states of the distributed dynamic system, continuous-time allocation trajectories must be computed in real-time. Designing multiagent systems for distributed resource allocation mainly comprises the design of the local capabilities of the single agents and the interaction mechanisms that makes them find the best or at least a feasible allocation without any central control. In this work, the agents are designed as two-level entities: while the low-level functions are responsible for the real-time allocation of the resources in the form of closed-loop feedback control, the high-level functionalities realize the deliberative capabilities such as long-term planning and negotiation of the resource allocations. Herein, the resource allocation problem is considered as a distributed optimization problem under certain constraints. The agents play the role of local optimizers which then have to coordinate their local solutions to an overall consistent solution. It is shown in this contribution that the described approach can be interpreted as a market-based allocation scheme based on balancing of supply and demand of the resources using a virtual price. However, the agents calculate and negotiate complete supply and demand trajectories using model-based predictions which also leads to the calculation of a price trajectory. This novel approach does not only consider the dynamic behaviour of the distributed system but also combines control tasks and resource allocation in a very consistent way. The approach is demonstrated using two practical applications: a heating system and an industrial sugar extraction process. [less ▲]

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See detailOnline Risk Assessment for safe Autonomous Mobile Robots - A Perspective
Voos, Holger UL; Ertle, Philipp

in 7th Workshop on Advanced Control and Diagnosis ACD 2009, Zielona Gora, Poland (2009)

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See detailEntwurf eines Flugreglers für ein vierrotoriges unbemanntes Fluggerät - Control Systems Design for a Quadrotor UAV
Voos, Holger UL

in Automatisierungstechnik (2009), 57(9), 423-431

This paper describes the design of a nonlinear control system for a small four-rotor aerial robot, a so called quadrotor UAV (unmanned aerial vehicle). Stabilizing control of these vehicles is a difficult ... [more ▼]

This paper describes the design of a nonlinear control system for a small four-rotor aerial robot, a so called quadrotor UAV (unmanned aerial vehicle). Stabilizing control of these vehicles is a difficult task because of the nonlinear dynamic behavior. The proposed control system is based on a decomposition into an inner attitude and an outer velocity control loop. For the attitude control, feedback linearization is applied that transforms the system into a decoupled linear system in state variable format. This resulting system is controlled via a conventional linear controller, leading to a sufficiently fast and damped closed loop dynamics. The outer control loop applies a nonlinear inversion to compensate a static nonlinearity and a linear control system to control the remaining linear dynamics. The advantage of the derived control system besides the excellent performance is the simple structure and the easy implementation. [less ▲]

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See detailModel Predictive Collaborative Motion Planning and Control of Mobile Robots including Safety Aspects
Voos, Holger UL

in Int. Conference on Advanced Robotics ICAR 2009, Munich, Germany (2009)

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See detailNonlinear Control of Stabilized Flight and Landing Control for Quadrotor UAVs
Voos, Holger UL; Nourghassemi, B.

in 7th Workshop on Advanced Control and Diagnosis ACD 2009, Zielo Gora, Poland (2009)

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See detailNonlinear Landing Control for Quadrotor UAVs
Voos, Holger UL

in 21 Fachgespräch Autonome Mobile Systeme AMS 2009, Karslruhe, Germany (2009)

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See detailMotion Planning for Mobile Robots in Microproduction under Special Constraints
Ziemniak, Pavel; Paczynski, Andreas; Voos, Holger UL et al

in 7th Workshop on Advanced Control and Diagnosis ACD 2009, Zielona Gora, Poland (2009)

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See detailAn Operational Driven Development Approach for Cognitive Agents in UAV Applications
Reichel, Kai; Hochgeschwender, Nico; Voos, Holger UL

in Int. Conference on Cognitive Systems CogSys 2008, Karlsruhe, Germany (2008)

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See detailOpCog: An Industrial Development Approach for Cognitive Agent Systems in Military UAV Applications
Reichel, Kai; Hochgeschwender, Nico; Voos, Holger UL

in Int. Conference on Autonomous Agents and Multiagent Systems AAMAS 2008, Lissabon, Portugal (2008)

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See detailImage Processing Algorithms for an Auto Focus System for Slit Lamp Microscopy
Gierl, Christian; Kondo, T.; Voos, Holger UL et al

in Lecture Notes in Computer Science (Advanced Concepts for Intelligent Vision Systems), 4678/2007 (2007)

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See detailNonlinear and Neural Network-based Control of a Small Four-Rotor Aerial Robot
Voos, Holger UL

in IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Zurich, Switzerland, 2007 (2007)

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See detailDefence Industry Applications of Autonomous Agents and Multi-Agent Systems.
Thompson, Simon; Voos, Holger UL; Pechouchek, Michal

Book published by Birkhäuser (2007)

Defense and security related applications are increasingly being tackled by researchers and practioners using technologies developed in the field of Intelligent Agent research. This book is a collection ... [more ▼]

Defense and security related applications are increasingly being tackled by researchers and practioners using technologies developed in the field of Intelligent Agent research. This book is a collection of recent refereed papers drawn from workshops and other colloquia held in various venues around the world in the last two years. The contributions in this book describe work in the development of command and control systems, military communications systems, information systems, surveillance systems, autonomous vehicles, simulators and Human Computer Interactions. The broad nature of the application domain is matched by the diversity of techniques used in the papers that are included in the collection which provides, for the first time, an overview of the most significant work being performed by the leading workers in this area. It provides a single reference point for the state of the art in the field at the moment and will be of interest to Computer Science professionals working in the defense sector, and academics and students investigating the technology of Intelligent Agents that are curious to see how the technology is applied in practice. [less ▲]

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See detailNon-Linear State-dependent Riccati Equation Control for a Quadrotor UAV
Voos, Holger UL

in IEEE Conference on Control Applications, CCA, Munich, Germany, 2006 (2006)

Detailed reference viewed: 127 (1 UL)