Timothée Buettner — accepted AI-conference papers

2024

AutoExplorers: Autoencoder-Based Strategies for High-Entropy Exploration in Unknown Environments for Mobile Robots

Lennart Puck, Maximilian Schik, Tristan Schnell, Timothée Buettner, Arne Roennau, Rüdiger Dillmann

ICRA 2024poster

Deciding where to go next is a challenging task for humans. However, for robots in unknown environments, this becomes even more demanding. In planetary explorations, the robots are continuously challenged with the task of exploring novel areas, yet so far, humans decide for the robots where to go. E…

Cited by 0 Source ↗Scholar ↗

2022

RoBiGAN: A bidirectional Wasserstein GAN approach for online robot fault diagnosis via internal anomaly detection

Tristan Schnell, Katrin Bott, Lennart Puck, Timothée Buettner, Arne Roennau, Rüdiger Dillmann

IROS 2022poster

Complex robots in challenging scenarios require constant monitoring of their state and adaptation of their behavior to ensure robustness, reliability and longevity. While known possible errors can be specifically surveilled, other prob-lems can be fully unforeseen, requiring detection systems able t…

Cited by 7 Source ↗Scholar ↗