Stumpf, Alexander (2010)
Grid-Based Obstacle Mapping and Gaze Control for Soccer Playing Humanoid Robots.
Technische Universität Darmstadt
Bachelorarbeit, Bibliographie
Kurzbeschreibung (Abstract)
An important research topic at the Simulation, Systems Optimization and Robotics group at TU Darmstadt is research and development of autonomous robot systems. One of the research projects is the Darmstadt Dribblers, developing autonomous soccer playing humanoid robots and participating in the annual RoboCup competition. In this work a new approach for modeling the environment of the robot is introduced. For this purpose an occupancy grid mapping system is developed which provides a more detailed model of obstacles in the dynamic environment than previously used approaches. Furthermore, an entropy-based active gaze control system generating gaze commands to maximize perceptual input is introduced. This system accounts for the reliability estimates in existing modules like ball modeling and is used to automatically control the camera gaze of the robot. Evaluation of the system shows that the system performs well on real hardware.
| Typ des Eintrags: | Bachelorarbeit |
|---|---|
| Erschienen: | 2010 |
| Autor(en): | Stumpf, Alexander |
| Art des Eintrags: | Bibliographie |
| Titel: | Grid-Based Obstacle Mapping and Gaze Control for Soccer Playing Humanoid Robots |
| Sprache: | Englisch |
| Publikationsjahr: | 2010 |
| Ort: | Darmstadt |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | An important research topic at the Simulation, Systems Optimization and Robotics group at TU Darmstadt is research and development of autonomous robot systems. One of the research projects is the Darmstadt Dribblers, developing autonomous soccer playing humanoid robots and participating in the annual RoboCup competition. In this work a new approach for modeling the environment of the robot is introduced. For this purpose an occupancy grid mapping system is developed which provides a more detailed model of obstacles in the dynamic environment than previously used approaches. Furthermore, an entropy-based active gaze control system generating gaze commands to maximize perceptual input is introduced. This system accounts for the reliability estimates in existing modules like ball modeling and is used to automatically control the camera gaze of the robot. Evaluation of the system shows that the system performs well on real hardware. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Simulation, Systemoptimierung und Robotik |
| Hinterlegungsdatum: | 09 Jul 2019 10:44 |
| Letzte Änderung: | 09 Jul 2019 10:44 |
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