Robotics Domain
Robotics research currently focuses on enhancing robot autonomy, safety, and dexterity, particularly in unstructured environments. Key areas include developing robust control algorithms (like Model Predictive Control and reinforcement learning), improving perception through advanced sensor fusion and generative models, and creating more efficient and adaptable robot designs. These advancements are driving progress in diverse applications such as agriculture, healthcare, and manufacturing, ultimately aiming to create more capable and reliable robots for a wider range of tasks.
Papers
Morphological Symmetries in Robotics
Daniel Ordoñez-Apraez, Giulio Turrisi, Vladimir Kostic, Mario Martin, Antonio Agudo, Francesc Moreno-Noguer, Massimiliano Pontil, Claudio Semini, Carlos Mastalli
Homeostatic motion planning with innate physics knowledge
Giulia Lafratta, Bernd Porr, Christopher Chandler, Alice Miller
A Digital Twinning Platform for Integrated Sensing, Communications and Robotics
Vlad C. Andrei, Xinyang Li, Maresa Fees, Andreas Feik, Ullrich J. Mönich, Holger Boche