3 papers
cs.RO2026
Advances, challenges, and opportunities for legged robots
Jonas Frey, MatÃas Mattamala, Hae-Won Park +5
Humanoid and quadrupedal robots have the potential to revolutionize the way we work, interact, and coexist with intelligent machines. To understand their effects on society and how…
cs.LG2025
Directed Exploration in Reinforcement Learning from Linear Temporal Logic
Marco Bagatella, Andreas Krause, Georg Martius
Linear temporal logic (LTL) is a powerful language for task specification in reinforcement learning, as it allows describing objectives beyond the expressivity of conventional disc…
cs.CV2025
Temporally Consistent Object-Centric Learning by Contrasting Slots
Anna Manasyan, Maximilian Seitzer, Filip Radovic +2
Unsupervised object-centric learning from videos is a promising approach to extract structured representations from large, unlabeled collections of videos. To support downstream ta…