3 papers
cs.LG2026
Actor-Critic Pretraining for Proximal Policy Optimization
Andreas Kernbach, Amr Elsheikh, Nicolas Grupp +2
Reinforcement learning (RL) actor-critic algorithms enable autonomous learning but often require a large number of environment interactions, which limits their applicability in rob…
cs.RO2026
Behavioral Cloning for Robotic Connector Assembly: An Empirical Study
Andreas Kernbach, Daniel Bargmann, Werner Kraus +1
Automating the assembly of wire harnesses is challenging in automotive, electrical cabinet, and aircraft production, particularly due to deformable cables and a high variance in co…
cs.RO2024
HIPer: A Human-Inspired Scene Perception Model for Multifunctional Mobile Robots
Florenz Graf, Jochen Lindermayr, Birgit Graf +2
Taking over arbitrary tasks like humans do with a mobile service robot in open-world settings requires a holistic scene perception for decision-making and high-level control. This…