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08/31/2023
Language-Conditioned Path Planning
Contact is at the core of robotic manipulation. At times, it is desired ...
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08/23/2023
Language Reward Modulation for Pretraining Reinforcement Learning
Using learned reward functions (LRFs) as a means to solve sparse-reward ...
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02/05/2023
Multi-View Masked World Models for Visual Robotic Manipulation
Visual robotic manipulation research and applications often use multiple...
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11/03/2022
StereoPose: Category-Level 6D Transparent Object Pose Estimation from Stereo Images via Back-View NOCS
Most existing methods for category-level pose estimation rely on object ...
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10/25/2022
Sim-to-Real via Sim-to-Seg: End-to-end Off-road Autonomous Driving Without Real Data
Autonomous driving is complex, requiring sophisticated 3D scene understa...
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10/06/2022
Real-World Robot Learning with Masked Visual Pre-training
In this work, we explore self-supervised visual pre-training on images f...
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10/05/2022
Temporally Consistent Video Transformer for Long-Term Video Prediction
Generating long, temporally consistent video remains an open challenge i...
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09/15/2022
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator
Video prediction is an important yet challenging problem; burdened with ...
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06/28/2022
Masked World Models for Visual Control
Visual model-based reinforcement learning (RL) has the potential to enab...
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06/08/2022
Patch-based Object-centric Transformers for Efficient Video Generation
In this work, we present Patch-based Object-centric Video Transformer (P...
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06/07/2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning
Intelligent agents should have the ability to leverage knowledge from pr...
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04/26/2022
Coarse-to-fine Q-attention with Tree Expansion
Coarse-to-fine Q-attention enables sample-efficient robot manipulation b...
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04/14/2022
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking
In this paper, we propose an iterative self-training framework for sim-t...
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04/04/2022
Coarse-to-Fine Q-attention with Learned Path Ranking
We propose Learned Path Ranking (LPR), a method that accepts an end-effe...
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03/25/2022
Reinforcement Learning with Action-Free Pre-Training from Videos
Recent unsupervised pre-training methods have shown to be effective on l...
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02/22/2022
ReorientBot: Learning Object Reorientation for Specific-Posed Placement
Robots need the capability of placing objects in arbitrary, specific pos...
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02/11/2022
SafePicking: Learning Safe Object Extraction via Object-Level Mapping
Robots need object-level scene understanding to manipulate objects while...
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02/08/2022
Bingham Policy Parameterization for 3D Rotations in Reinforcement Learning
We propose a new policy parameterization for representing 3D rotations d...
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02/07/2022
Auto-Lambda: Disentangling Dynamic Task Relationships
Understanding the structure of multiple related tasks allows for multi-t...
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06/23/2021
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
Reflecting on the last few years, the biggest breakthroughs in deep rein...
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05/31/2021
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation
Despite the success of reinforcement learning methods, they have yet to ...
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03/30/2021
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks
By estimating 3D shape and instances from a single view, we can capture ...
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02/15/2021
End-to-End Egospheric Spatial Memory
Spatial memory, or the ability to remember and recall specific locations...
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02/04/2021
Ivy: Templated Deep Learning for Inter-Framework Portability
We introduce Ivy, a templated Deep Learning (DL) framework which abstrac...
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04/09/2020
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion
Robots and other smart devices need efficient object-based scene represe...
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11/04/2019
Learning One-Shot Imitation from Humans without Humans
Humans can naturally learn to execute a new task by seeing it performed ...
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09/26/2019
RLBench: The Robot Learning Benchmark Learning Environment
We present a challenging new benchmark and learning-environment for robo...
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06/26/2019
PyRep: Bringing V-REP to Deep Robot Learning
PyRep is a toolkit for robot learning research, built on top of the virt...
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12/18/2018
Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks
Real world data, especially in the domain of robotics, is notoriously co...
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10/08/2018
Task-Embedded Control Networks for Few-Shot Imitation Learning
Much like humans, robots should have the ability to leverage knowledge f...
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06/20/2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
We have seen much recent progress in rigid object manipulation, but inte...
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09/13/2016