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20162026
most citedComparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations

2 citations · 3 across the 13 of their papers we have counts for

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Showing 2020Show all

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cs.RO2020

ScrewNet: Category-Independent Articulation Model Estimation From Depth Images Using Screw Theory

Ajinkya Jain, Rudolf Lioutikov, Caleb Chuck +1

Robots in human environments will need to interact with a wide variety of articulated objects such as cabinets, drawers, and dishwashers while assisting humans in performing day-to…