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Miro - middleware for mobile robot applications
Miro is presented, which meets the aforementioned requirements and has been ported to three different mobile platforms with little effort and provides generic abstract services like localization or behavior engines, which can be applied on different robot platforms with virtually no modifications.
The BRICS component model: a model-based development paradigm for complex robotics software systems
The BRICS Component Model is introduced to provide robotics developers with a set of guidelines, metamodels and tools for structuring as much as possible the development of, both, individual components and component-based architectures at the same time, without introducing any framework- or application-specific details.
Johnny: An Autonomous Service Robot for Domestic Environments
The architecture, algorithms and real-world benchmarks performed by Johnny Jackanapes, an autonomous service robot for domestic environments are described and novel and robust algorithms centered around multi-modal human robot interaction, semantic scene understanding and SLAM are described.
RoboCup@Work: Competing for the Factory of the Future
The paper describes the design and implementation of the RoboCup@Work competition, which focuses on the use of mobile manipulators and their integration with automation equipment for performing industrially-relevant tasks.
BRICS - Best practice in robotics
The prime objective of BRICS is to structure and formalize the robot development process itself and to provide tools, models, and functional libraries, which allow reducing the development time by a magnitude.
Competitions for Benchmarking: Task and Functionality Scoring Complete Performance Assessment
It is shown that the RoCKIn approach offers tools that enable the replicability of experimental results, by further articulating replicable into reproducibility and repeatability.
Towards autonomous vision self-calibration for soccer robots
A method for autonomous calibration of a color classificator used for color blob-based image segmentation and landmark and object recognition is presented and the experimental results demonstrate significantly improved robustness of visual processing.