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09/16/2023
Efficient Object Rearrangement via Multi-view Fusion
The prospect of assistive robots aiding in object organization has alway...
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07/25/2023
GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping
Task-oriented grasping (TOG) refers to the problem of predicting grasps ...
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02/28/2023
Task-Oriented Grasp Prediction with Visual-Language Inputs
To perform household tasks, assistive robots receive commands in the for...
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06/02/2022
Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions
Generalization is one of the most important problems in deep learning (D...
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02/25/2022
Image reconstruction algorithms in radio interferometry: from handcrafted to learned denoisers
We introduce a new class of iterative image reconstruction algorithms fo...
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01/04/2022
Primitive Shape Recognition for Object Grasping
Shape informs how an object should be grasped, both in terms of where an...
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10/27/2021
Relationship Oriented Affordance Learning through Manipulation Graph Construction
In this paper, we propose Manipulation Relationship Graph (MRG), a novel...
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11/26/2019
An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense
The safety and robustness of learning-based decision-making systems are ...
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09/12/2019
Using Synthetic Data and Deep Networks to Recognize Primitive Shapes for Object Grasping
A segmentation-based architecture is proposed to decompose objects into ...
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05/07/2018