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07/07/2023
SpawnNet: Learning Generalizable Visuomotor Skills from Pre-trained Networks
The existing internet-scale image and video datasets cover a wide range ...
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02/19/2023
Self-supervised Cloth Reconstruction via Action-conditioned Cloth Tracking
State estimation is one of the greatest challenges for cloth manipulatio...
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10/27/2022
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
Effective planning of long-horizon deformable object manipulation requir...
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07/11/2022
Learning Closed-loop Dough Manipulation Using a Differentiable Reset Module
Deformable object manipulation has many applications such as cooking and...
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06/06/2022
Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation
Self-occlusion is challenging for cloth manipulation, as it makes it dif...
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03/31/2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
We consider the problem of sequential robotic manipulation of deformable...
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03/03/2022
Self-supervised Transparent Liquid Segmentation for Robotic Pouring
Liquid state estimation is important for robotics tasks such as pouring;...
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12/31/2021
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection
Log anomaly detection is a key component in the field of artificial inte...
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12/03/2021
Evaluating NLP Systems On a Novel Cloze Task: Judging the Plausibility of Possible Fillers in Instructional Texts
Cloze task is a widely used task to evaluate an NLP system's language un...
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05/21/2021
Learning Visible Connectivity Dynamics for Cloth Smoothing
Robotic manipulation of cloth remains challenging for robotics due to th...
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11/14/2020
SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation
Manipulating deformable objects has long been a challenge in robotics du...
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11/13/2020
ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
Current image-based reinforcement learning (RL) algorithms typically ope...
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05/20/2019
Reinforcement Learning without Ground-Truth State
To perform robot manipulation tasks, a low dimension state of the enviro...
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03/15/2019
Adaptive Variance for Changing Sparse-Reward Environments
Robots that are trained to perform a task in a fixed environment often f...
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05/22/2017
Learning Robust Object Recognition Using Composed Scenes from Generative Models
Recurrent feedback connections in the mammalian visual system have been ...
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03/31/2017