Bottrop, 21. Dezember 2011: Die Hochschule Ruhr West möchte mehr Frauen für ein Studium der MINT-Fächer interessieren und den Studentinnenanteil insgesamt erhöhen. Hierzu erhielt sie jüngst eine Förderung vom Ministerium für Innovation Wissenschaft und Forschung (MIWF) des Landes NRW in Höhe von 66.500 Euro für den Bereich der Gleichstellung. Ein durch diese Mittel finanziertes Projekt ist eine Mädchen AG, die die Hochschule Ruhr West gemeinsam mit dem zdi-Zentrum „mint4u“ und Schülerinnen des Vestischen Gymnasiums am Campus Bottrop anbot. Für rund 15 Schülerinnen der Jahrgangsstufen 11 und 12 hieß es dabei „Lernen und Experimentieren“. Ziel der Mädchen AG ist es, Schülerinnen für Technik zu begeistern, sie spielerisch an naturwissenschaftlich-technische Themen heranzuführen und Sie langfristig für ein Studium der MINT-Fächer zu begeistern. Angeboten wurden hierzu zwei Kurse, die sich mit Themen aus der Informatik auseinandersetzen. Kurs eins „meine eigene WII“ beschäftigte sich mit den Fragen:Wie funktionieren eigentlich Spielekonsolen, wie werden meine Bewegungen erkannt und wie kann dies im jeweiligen Spiel eingesetzt werden?
Year: 2011
Autonomous robots with limited computational capacity call for control approaches that generate meaningful, goal-directed behavior without using a large amount of resources. The attractor dynamics approach to movement generation is a framework that links sensor data to motor commands via coupled dynamical systems that have attractors at behaviorally desired states. The low computational demands leave … Read More “RoBio 2011: Model-free local navigation for humanoid robots” »
Autonomous robots with limited computational capacity call for control approaches that generate meaning- ful, goal-directed behavior without using a large amount of resources. The attractor dynamics approach to movement generation is a framework that links sensor data to motor commands via coupled dynamical systems that have attractors at behaviorally desired states. The low computational demands … Read More “Robio2011: Model-free local navigation for humanoid robots” »
In the presented work we compare machine learn- ing techniques in the context of lane change behavior performed by humans in a semi-naturalistic simulated environment. We evaluate different learning approaches using differing feature combinations in or…
Autonomous robots with limited computational capacity call for control approaches that generate meaning- ful, goal-directed behavior without using a large amount of resources. The attractor dynamics approach to movement generation is a framework that links sensor data to motor commands via coupled dynamical systems that have attractors at behaviorally desired states. The low computational demands … Read More “Robio2011: Model-free local navigation for humanoid robots” »
The investigation of neuronal accounts of cognition is closely linked to collaboration between behavioral experiments, theory and application and supports the process of moving from pure behaviorist correlation analysis to gaining a real understanding of the underlying mechanisms. Cognition builds upon the individual behavioral history, and the understanding of cognition is based on neuronal principles. … Read More “BC11: Benefits of ego motion feedback for interactive experiments in virtual reality scenarios” »
The neuronal basis of movement preparation, during which movement parameters such as movement direction are assigned values, is fairly well understood. Motor and premotor cortex as well as portions of parietal cortex represent movement parameters through the activity of neuronal populations. The parameter representation is of dynamic nature, updated in the course of movement and adapts … Read More “BC11: Human like trajectories for humanoid robots” »
The neuronal basis of movement preparation, during which movement parameters such as movement direction are assigned values, is fairly well understood. Motor and premotor cortex as well as portions of parietal cortex represent movement parameters through the activity of neuronal populations.
The parameter representation is of dynamic nature, updated in the course of movement and adapts to boundary condition of the motion plan or to environmental changes. Schwartz (2004) was able to decode motor cortical activity in motor cortex, utilizing to drive a virtual or robotic end-effector and proved that motor cortex is involved in the generation of time course of movement. At this level of abstraction we assume that movement of end-effector as well as human walking movement is represented appropriately by its direction and able to satisfy other constraints such as obstacle avoidance or movement coordination.
Read More “BC11: Human like trajectories for humanoid robots” »
The investigation of neuronal accounts of cognition is closely linked to collaboration between behavioral experiments, theory and application and supports the process of moving from pure behaviorist correlation analysis to gaining a real understanding of the underlying mechanisms. Cognition builds upon the individual behavioral history, and the understanding of cognition is based on neuronal principles.
The study of human behavior incorporates in particular interactive, dynamically changing scenarios with multiple human individuals. Both the acquisition of behavioral data of human subjects, the modeling of behavior, as well as the evaluation in interactive scenarios, makes it necessary to generate simulated images of reality. Simulations allow the investigator to precisely control the structure of the environment the subject interacts with. Furthermore, situations that would be too dangerous in the real world (e.g. near-crash driving situations) can be investigated using virtual reality
Autonomous robots with limited computational capacity call for control approaches that generate meaningful, goal-directed behavior without using a large amount of resources. The attractor dynamics approach to movement generation is a framework that lin…