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03/02/2023
Open-World Object Manipulation using Pre-trained Vision-Language Models
For robots to follow instructions from people, they must be able to conn...
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02/22/2023
Scaling Robot Learning with Semantically Imagined Experience
Recent advances in robot learning have shown promise in enabling robots ...
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12/13/2022
RT-1: Robotics Transformer for Real-World Control at Scale
By transferring knowledge from large, diverse, task-agnostic datasets, m...
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11/16/2022
Token Turing Machines
We propose Token Turing Machines (TTM), a sequential, autoregressive Tra...
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05/14/2021
SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping
We present SMURF, a method for unsupervised learning of optical flow tha...
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01/07/2021
The Distracting Control Suite – A Challenging Benchmark for Reinforcement Learning from Pixels
Robots have to face challenging perceptual settings, including changes i...
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07/29/2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic
Object navigation is defined as navigating to an object of a given label...
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06/08/2020
What Matters in Unsupervised Optical Flow
We systematically compare and analyze a set of key components in unsuper...
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09/17/2019
Towards Object Detection from Motion
We present a novel approach to weakly supervised object detection. Inste...
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06/14/2017