881 citations · 1.6k across the 66 of their papers we have counts for
75 papers
MoDex: A Diffusion Policy for Sequential Multi-Object Dexterous Grasping
Haofei Lu, Hongjia Liu, Yifei Dong +3
This work addresses sequentially grasping multiple objects with a single dexterous hand without releasing those already held. Most dexterous grasping methods commit all of the hand…
Raising Body Ownership in End-to-End Visuomotor Policy Learning via Robot-Centric Pooling
Zheyu Zhuang, Ville Kyrki, Danica Kragic
We present Robot-centric Pooling (RcP), a novel pooling method designed to enhance end-to-end visuomotor policies by enabling differentiation between the robots and similar entitie…
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…
GoNet: An Approach-Constrained Generative Grasp Sampling Network
Zehang Weng, Haofei Lu, Jens Lundell +1
This work addresses the problem of learning approach-constrained data-driven grasp samplers. To this end, we propose GoNet: a generative grasp sampler that can constrain the grasp…
Elastic Context: Encoding Elasticity for Data-driven Models of Textiles
Alberta Longhini, Marco Moletta, Alfredo Reichlin +6
Physical interaction with textiles, such as assistive dressing, relies on advanced dextreous capabilities. The underlying complexity in textile behavior when being pulled and stret…