2 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
Towards Natural Language-Driven Assembly Using Foundation Models
Omkar Joglekar, Tal Lancewicki, Shir Kozlovsky +3
Large Language Models (LLMs) and strong vision models have enabled rapid research and development in the field of Vision-Language-Action models that enable robotic control. The mai…
DUQIM-Net: Probabilistic Object Hierarchy Representation for Multi-View Manipulation
Vladimir Tchuiev, Yakov Miron, Dotan Di-Castro
Object manipulation in cluttered scenes is a difficult and important problem in robotics. To efficiently manipulate objects, it is crucial to understand their surroundings, especia…
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input
Oren Spector, Vladimir Tchuiev, Dotan Di Castro
We address the problem of devising the means for a robot to rapidly and safely learn insertion skills with just a few human interventions and without hand-crafted rewards or demons…