Florian Lier

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[PRE PRINT VERSION] Research on robot systems either integrating a large number of capabilities in a single architecture or displaying outstanding performance in a single domain achieved considerable progress over the last years. Results are typically validated through experimental evaluation or demonstrated live, e.g., at robotics competitions. While(More)
Autonomous robots are highly relevant targets for interaction studies, but can exhibit behavioral variability that confounds experimental validity. Currently, testing on real systems is the only means to prevent this, but remains very labour-intensive and often happens too late. To improve this situation, we are working towards early testing by means of(More)
Researchers and other knowledge workers frequently produce and use diverse research artefacts such as papers, data sets, experiment specifications, software, etc. In this, they are often faced with unclear relationships (e.g., which version of a software was in use for a particular paper), creating unnecessary work and potentially errors. Semantic web(More)
For Open Science to be widely adopted, a strong institutional support for scientists will be essential. Bielefeld University and the associated Center of Excellence Cognitive Interaction Technology (CITEC) have developed a platform that enables researchers to manage their publications and the underlying research data in an easy and efficient way. Following(More)
— We present RoboBench, a novel platform for sharing robot full-system simulations for benchmarking. The creation of this platform and benchmark suite is motivated by a need for reproducible research. A challenge in creating a full-system benchmarks are incompatibilities in software created by different groups and the difficulty of reproducing software(More)
Simulation in robotics is often a love-hate relationship: while simulators do save us a lot of time and effort compared to regular deployment of complex software architectures on complex hardware, simulators are also known to evade many of the real issues that robots need to manage when they enter the real world. Because humans are the paragon of dynamic,(More)
Simulated environments usually provide the most frequent test environment for robotic systems, often due to their cost and availability advantages. The crucial question is: how precisely must a simulation match the real world in order to produce realistic results? In this demonstration the humanoid robot head Flobi, as well as its simulation, will react to(More)