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08/30/2023
RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation
For robots to be useful outside labs and specialized factories we need a...
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06/14/2023
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
We present a novel model for Tracking Any Point (TAP) that effectively t...
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12/09/2021
Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings
Dense object tracking, the ability to localize specific object points wi...
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03/21/2021
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study
Over the past several years there has been a considerable research inves...
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09/30/2020
S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency
A robot's ability to act is fundamentally constrained by what it can per...
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11/15/2019
Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient
Model-free reinforcement learning algorithms such as Deep Deterministic ...
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09/26/2019
A Framework for Data-Driven Robotics
We present a framework for data-driven robotics that makes use of a larg...
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04/01/2019
Generative predecessor models for sample-efficient imitation learning
We propose Generative Predecessor Models for Imitation Learning (GPRIL),...
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10/02/2018
A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning
Insertion is a challenging haptic and visual control problem with signif...
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05/29/2018
