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Found 5 papers, 3 papers with code
RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features
In order to successfully perform manipulation tasks in new environments, such as grasping, robots must be proficient in segmenting unseen objects from the background and/or other objects.
SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes
We present a new reproducible benchmark for evaluating robot manipulation in the real world, specifically focusing on pick-and-place.
Skeletal Point Representations with Geometric Deep Learning
Skeletonization has been a popular shape analysis technique that models both the interior and exterior of an object.
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot Interaction
By applying multi-object tracking and video object segmentation on the images collected via robot pushing, our system can generate segmentation masks of all the objects in these images in a self-supervised way.
Submodular Combinatorial Information Measures with Applications in Machine Learning
In this paper, we study combinatorial information measures that generalize independence, (conditional) entropy, (conditional) mutual information, and total correlation defined over sets of (not necessarily random) variables.
