3 papers
cs.RO2025
Can Context Bridge the Reality Gap? Sim-to-Real Transfer of Context-Aware Policies
Marco Iannotta, Yuxuan Yang, Johannes A. Stork +2
Sim-to-real transfer remains a major challenge in reinforcement learning (RL) for robotics, as policies trained in simulation often fail to generalize to the real world due to disc…
cs.RO2025
The First WARA Robotics Mobile Manipulation Challenge -- Lessons Learned
David Cáceres DomÃnguez, Marco Iannotta, Abhishek Kashyap +21
The first WARA Robotics Mobile Manipulation Challenge, held in December 2024 at ABB Corporate Research in VästerÃ¥s, Sweden, addressed the automation of task-intensive and repetit…
cs.RO2025
On the Fly Adaptation of Behavior Tree-Based Policies through Reinforcement Learning
Marco Iannotta, Johannes A. Stork, Erik Schaffernicht +1
With the rising demand for flexible manufacturing, robots are increasingly expected to operate in dynamic environments where local -- such as slight offsets or size differences in…