We present FoundationPose, a unified foundation model for 6D object pose estimation and tracking, supporting both model-based and model-free setups. Our approach can be instantly applied at test-time ...
import pytermstructure as pts # Create bootstrap method bootstrap = pts.BootstrapMethod(verbose=True) # Add market instruments bootstrap.add_instrument(pts.MarketInstrument( ...
This study tackles robotic picking of multi-part deformable objects—common in warehouses yet underexplored in the literature—such as cable-attached appliances and pouch drinks, which comprise both ...
Abstract: The generalisation to unseen objects in the 6D pose estimation task is very challenging. While Vision-Language Models (VLMs) enable using natural language descriptions to support 6D pose ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results