5 citations · 15 across the 27 of their papers we have counts for
4 papers · 1 filter
Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges
Noémie Jaquier, Michael C. Welle, Andrej Gams +6
Transfer learning is a conceptually-enticing paradigm in pursuit of truly intelligent embodied agents. The core concept -- reusing prior knowledge to learn in and from novel situat…
Enabling Robot Manipulation of Soft and Rigid Objects with Vision-based Tactile Sensors
Michael C. Welle, Martina Lippi, Haofei Lu +3
Endowing robots with tactile capabilities opens up new possibilities for their interaction with the environment, including the ability to handle fragile and/or soft objects. In thi…
A Virtual Reality Framework for Human-Robot Collaboration in Cloth Folding
Marco Moletta, Maciej K. Wozniak, Michael C. Welle +1
We present a virtual reality (VR) framework to automate the data collection process in cloth folding tasks. The framework uses skeleton representations to help the user define the…
Ensemble Latent Space Roadmap for Improved Robustness in Visual Action Planning
Martina Lippi, Michael C. Welle, Andrea Gasparri +1
Planning in learned latent spaces helps to decrease the dimensionality of raw observations. In this work, we propose to leverage the ensemble paradigm to enhance the robustness of…