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Found 6 papers, 1 papers with code
Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation
3D assembly tasks, such as furniture assembly and component fitting, play a crucial role in daily life and represent essential capabilities for future home robots.
GRACE: Generalizing Robot-Assisted Caregiving with User Functionality Embeddings
In this work, we learn to predict personalized fROM as a way to generalize robot decision-making in a wide range of caregiving tasks.
DenseMatcher: Learning 3D Semantic Correspondence for Category-Level Manipulation from a Single Demo
Dense 3D correspondence can enhance robotic manipulation by enabling the generalization of spatial, functional, and dynamic information from one object to an unseen counterpart.
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation
The next step is to map the contact points of the retrieved objects to the new object.
ArrayBot: Reinforcement Learning for Generalizable Distributed Manipulation through Touch
We present ArrayBot, a distributed manipulation system consisting of a $16 \times 16$ array of vertically sliding pillars integrated with tactile sensors, which can simultaneously support, perceive, and manipulate the tabletop objects.
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection
URR aims to implicitly extract dependencies between utterances, as well as utterances and options, and make reasoning with relational graph convolutional networks.
