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The ability to track moving people is a key aspect of autonomous robot systems in real-world environments. Whilst for many tasks knowing the approximate positions of people may be sufficient, the ability to identify unique people is needed to accurately count people in the real world. To accomplish the people counting task, a robust system for people detection, tracking and identification is needed.
Robots, which are able to carry out their tasks robustly in real world environments, are not only desirable but necessary if we want them to be more welcome for a wider audience. But very often they may fail to execute their actions successfully because of insufficient information about behaviour of objects used in the actions.
Trotz einer sauber aufgesetzten Projektplanung und der konsequenten Einhaltung der vorgeschriebenen PM-Methodik verfehlen Projekte oft ihre Zielvorgaben. Einer der wichtigsten Gründe hierfür ist die stark gestiegene Komplexität. Diese erfordert eine neue Sichtweise auf das Projektmanagement, wie Olaf Ihlow in seinem Trend-Beitrag meint.
This work describes extensions to the well-known Distributed Coordination Function (DCF) model to account for IEEE802.11n point-to-point links. The developed extensions cover adaptions to the throughput and delay estimation for this type of link as well peculiarities of hardware and implementations within the Linux Kernel. Instead of using simulations, the approach was extensively verified on real-world deployments at various link distances. Additionally, trials were conducted to optimize the CWmin values and the number of retries to maximize throughput and minimize delay. The results of this work can be used to estimate the properties of long-distance 802.11 links beforehand, allowing the network to be planned more accurately.
Demografischer Wandel und einhergehende Probleme wie Fachkräftemangel, alternde Belegschaft und ein kontinuierlicher Know-How-Verlust, sind keine Fremdworte mehr. Anders verhält es sich mit möglichen Lösungswegen. Frau Kramer stellt in ihrem Werk ein mögliches Lösungskonzept, die lebensphasenorientierten Personalpolitik vor. Sie zeigt anhand praxisnaher Beispiele zwei unterschiedliche Konzepte auf.Die Idee dahinter: Die traditionelle begrenzte Sichtweise der Personalpolitik mit dem Fokus auf die ersten 20 Jahre des Berufslebens wird bei der lebensphasenorientierten Personalpolitik um die gesamte Lebensarbeitszeit erweitert.
Improving Robustness of Task Execution Against External Faults Using Simulation Based Approach
(2013)
Robots interacting in complex and cluttered environments may face unexpected situations referred to as external faults which prohibit the successful completion of their tasks. In order to function in a more robust manner, robots need to recognise these faults and learn how to deal with them in the future. We present a simulation-based technique to avoid external faults occurring during execusion releasing actions of a robot. Our technique utilizes simulation to generate a set of labeled examples which are used by a histogram algorithm to compute a safe region. A safe region consists of a set of releasing states of an object that correspond to successful performances of the action. This technique also suggests a general solution to avoid the occurrence of external faults for not only the current, observable object but also for any other object of the same shape but different size.
We developed a scene text recognition system with active vision capabilities, namely: auto-focus, adaptive aperture control and auto-zoom. Our localization system is able to delimit text regions in images with complex backgrounds, and is based on an attentional cascade, asymmetric adaboost, decision trees and Gaussian mixture models. We think that text could become a valuable source of semantic information for robots, and we aim to raise interest in it within the robotics community. Moreover, thanks to the robot’s pan-tilt-zoom camera and to the active vision behaviors, the robot can use its affordances to overcome hindrances to the performance of the perceptual task. Detrimental conditions, such as poor illumination, blur, low resolution, etc. are very hard to deal with once an image has been captured and can often be prevented. We evaluated the localization algorithm on a public dataset and one of our own with encouraging results. Furthermore, we offer an interesting experiment in active vision, which makes us consider that active sensing in general should be considered early on when addressing complex perceptual problems in embodied agents.
In the realm of service robots recovery from faults is indispensable to foster user acceptance. Here fault is to be understood not in the sense of robot internal, rather as interaction faults while situated in and interacting with an environment (aka ex-ternal faults). We reason along the most frequent failures in typical scenarios which we observed during real-world demonstrations and competitions using our Care-O-bot III 1 robot. They take place in an apartment-like environments which is known as closed world. We suggest four different -for now adhoc -fault categories caused by disturbances, imperfect per-ception, inadequate planning or chaining of action sequences. The fault are categorized and then mapped to a handful of partly known, partly extended fault handling techniques. Among them we applied qualitative reasoning, use of simu-lation as oracle, learning for planning (aka en-hancement of plan operators) or -in future -case-based reasoning. Having laid out this frame we mainly ask open questions related to the applicability of the pre-sented approach. Amongst them: how to find new categories, how to extend them, how to as-sure disjointness, how to identify old and label new faults on the fly.
The work presented in this paper focuses on the comparison of well-known and new techniques for designing robust fault diagnosis schemes in the robot domain. The main challenge for fault diagnosis is to allow the robot to effectively cope not only with internal hardware and software faults but with external disturbances and errors from dynamic and complex environments as well.
Erstellung des Online-Tutorials "Einführung in Fachdatenbanken und Fachportale der Niederlandistik"
(2011)
This paper presents an approach to estimate theego-motion of a robot while moving. The employed sensor is aTime-of-Flight (ToF) camera, the SR3000 from Mesa Imaging.ToF cameras provide depth and reflectance data of the scene athigh frame rates.The proposed method utilizes the coherence of depth andreflectance data of ToF cameras by detecting image features onreflectance data and estimating the motion on depth data. Themotion estimate of the camera is fused with inertial measure-ments to gain higher accuracy and robustness.The result of the algorithm is benchmarked against referenceposes determined by matching accurate 2D range scans. Theevaluation shows that fusing the pose estimate with the datafromthe IMU improves the accuracy and robustness of the motionestimate against distorted measurements from the sensor.
This work presents a person independent pointing gesture recognition application. It uses simple but effective features for the robust tracking of the head and the hand of the user in an undefined environment. The application is able to detect if the tracking is lost and can be reinitialized automatically. The pointing gesture recognition accuracy is improved by the proposed fingertip detection algorithm and by the detection of the width of the face. The experimental evaluation with eight different subjects shows that the overall average pointing gesture recognition rate of the system for distances up to 250 cm (head to pointing target) is 86.63% (with a distance between objects of 23 cm). Considering just frontal pointing gestures for distances up to 250 cm the gesture recognition rate is 90.97% and for distances up to 194 cm even 95.31%. The average error angle is 7.28◦.
Understanding the Internet of Things: A Conceptualisation of Business-to-Thing (B2T) Interactions
(2015)
Finding good Echo State Networks to control an underwater robot using evolutionary computations
(2004)
Kaum ein anderes Segment im Gesundheitswesen in Deutschland steht so im Fokus der Qualitätssicherung wie die medizinische Rehabilitation. So sind leitliniengetreue Therapien oder ausgereifte Zertifizierungsverfahren längst existenzielle Belegungsvoraussetzungen für die Rehabilitationseinrichtungen. Ohne ein funktionierendes Qualitätsmanagementsystem darf eine Rehabilitationsklinik nicht belegt werden (§20 SGB IX) – das ist einmalig im Gesundheitssystem. Die Rehabilitationskliniken sind damit Vorreiter in Sachen Qualität im Gesundheitswesen.
Die Komplexität des Geschehens in der Sozialversicherung nimmt stetig zu. Zur Lösung der sich daraus ergebenden Problemstellungen sind auf dem Feld der Sozialversicherung eine Vielzahl von Disziplinen (u. a. Rechtswissenschaft, Ökonomie, Medizin, Informatik, Psychologie, Politik- und Sozialwissenschaft und das Case Management) aktiv. Im Sinne eines "Aufbruchs zur Sozialversicherungswissenschaft", die als Integrationswissenschaft Grenzen überwinden will, diskutieren in diesem Handbuch 86 Autorinnen und Autoren aus Wissenschaft und Praxis Themen aus dem bzw. zum System der Sozialversicherung und zeigen Wege auf, die sich durch angewandte interdisziplinäre Zusammenarbeit eröffnen.
Unternehmensführung
(2015)
Dieses Buch führt Sie systematisch und leicht verständlich in das Thema Unternehmensführung ein. Es konzentriert sich bewusst auf die wichtigsten Fragen des Handelns als verantwortlicher Manager in der Unternehmensführung bzw. in der Bereichs- oder Abteilungsverantwortung. Dabei werden ausgewählte Probleme aus dem Management entwickelt und anschließend anhand von Praxisbeispielen erläutert. (Verlagsangaben)
Unternehmen agieren in einem dynamischen Umfeld mit hoher Komplexität und Unsicherheit. Um dabei langfristig wettbewerbsfähig zu bleiben, ist eine kontinuierliche Optimierung der Prozesse erforderlich. Eine konsequente Prozessorientierung wird daher seit langem angestrebt. Zur Ermittlung des aktuellen Standes der Prozessorganisation in deutschen Unternehmen hat die Gesellschaft für Organisation e. V. (gfo) eine Studie durchführen lassen, deren erste Ergebnisse hier vorgestellt werden.
[Context and motivation] Communication in distributed software development is usually supported by issue tracking systems. Within these systems, most of the communication is stored as unstructured natural language text. The natural language text, however, contains much information with respect to requirements management, e.g. discussion, clarification and prioritization of features, bugs, and refactorings. [Question] This paper investigates the information stored in the issue tracking systems of four different open-source projects. It categorizes the text and reports on the distribution of issue types and information types. [Principal ideas/results] A manual analysis of 80 issues, using a grounded approach, is conducted to derive a taxonomy of issue types and information types. Subsequently, the taxonomy is used as a codebook, to manually categorize and structure the text in another 120 issues. [Contribution] The first contribution of this paper is the taxonomy of issue and information types and the second contribution is an in-depth analysis of the natural language data and the communication. This analysis showed, for example, that information with respect to prioritization and scheduling can be found in natural language data, whether the ITS supports such tasks in a structured way or not.