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07/06/2023
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning
We propose a novel framework for few-shot learning by leveraging large-s...
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06/26/2023
RVT: Robotic View Transformer for 3D Object Manipulation
For 3D object manipulation, methods that build an explicit 3D representa...
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03/30/2023
Learning Human-to-Robot Handovers from Point Clouds
We propose the first framework to learn control policies for vision-base...
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10/24/2022
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
Dexterous robotic hands have the capability to interact with a wide vari...
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09/28/2022
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations
Teaching a multi-fingered dexterous robot to grasp objects in the real w...
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07/06/2022
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
We introduce the Few-Shot Object Learning (FewSOL) dataset for object re...
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05/19/2022
HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers
We introduce a new simulation benchmark "HandoverSim" for human-to-robot...
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03/31/2022
Model Predictive Control for Fluid Human-to-Robot Handovers
Human-robot handover is a fundamental yet challenging task in human-robo...
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02/01/2022
IFOR: Iterative Flow Minimization for Robotic Object Rearrangement
Accurate object rearrangement from vision is a crucial problem for a wid...
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11/09/2021
Learning Perceptual Concepts by Bootstrapping from Human Queries
Robots need to be able to learn concepts from their users in order to ad...
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04/09/2021
DexYCB: A Benchmark for Capturing Hand Grasping of Objects
We introduce DexYCB, a new dataset for capturing hand grasping of object...
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11/17/2020
Reactive Human-to-Robot Handovers of Arbitrary Objects
Human-robot object handovers have been an actively studied area of robot...
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11/13/2019
Motion Reasoning for Goal-Based Imitation Learning
We address goal-based imitation learning, where the aim is to output the...
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10/07/2019
DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System
Teleoperation offers the possibility of imparting robotic systems with s...
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08/20/2019
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
Recent progress on physics-based character animation has shown impressiv...
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08/07/2018
Rethinking Numerical Representations for Deep Neural Networks
With ever-increasing computational demand for deep learning, it is criti...
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04/20/2018
Rethinking the Faster R-CNN Architecture for Temporal Action Localization
We propose TAL-Net, an improved approach to temporal action localization...
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04/11/2017