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检索条件"机构=Dyson Robot Learning Lab"
50 条 记 录,以下是1-10 订阅
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Hierarchical Diffusion Policy for Kinematics-Aware Multi-Task robotic Manipulation
Hierarchical Diffusion Policy for Kinematics-Aware Multi-Tas...
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IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Ma, Xiao Patidar, Sumit Haughton, Iain James, Stephen Dyson Robot Learning Lab London England
This paper introduces Hierarchical Diffusion Policy (HDP), a hierarchical agent for multi-task robotic manipulation. HDP factorises a manipulation policy into a hierarchical structure: a high-level task-planning agent... 详细信息
来源: 评论
Continuous Control with Coarse-to-fine Reinforcement learning  8
Continuous Control with Coarse-to-fine Reinforcement Learnin...
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8th Conference on robot learning, CoRL 2024
作者: Seo, Younggyo Uruç, Jafar James, Stephen Dyson Robot Learning Lab United Kingdom
Despite recent advances in improving the sample-efficiency of reinforcement learning (RL) algorithms, designing an RL algorithm that can be practically deployed in real-world environments remains a challenge. In this ... 详细信息
来源: 评论
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark  8
BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
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8th Conference on robot learning, CoRL 2024
作者: Chernyadev, Nikita Backshall, Nicholas Ma, Xiao Lu, Yunfan Seo, Younggyo James, Stephen Dyson Robot Learning Lab United Kingdom
We introduce BiGym, a new benchmark and learning environment for mobile bi-manual demo-driven robotic manipulation. BiGym features 40 diverse tasks set in home environments, ranging from simple target reaching to comp... 详细信息
来源: 评论
Generative Image as Action Models  8
Generative Image as Action Models
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8th Conference on robot learning, CoRL 2024
作者: Shridhar, Mohit Lo, Yat Long James, Stephen Dyson Robot Learning Lab United Kingdom
Image-generation diffusion models have been fine-tuned to unlock new capabilities such as image-editing and novel view synthesis. Can we similarly unlock image-generation models for visuomotor control? We present GENI... 详细信息
来源: 评论
Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-Language Models
Dream2Real: Zero-Shot 3D Object Rearrangement with Vision-La...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Kapelyukh, Ivan Ren, Yifei Alzugaray, Ignacio Johns, Edward Imperial Coll London Robot Learning Lab London England Dyson Robot Lab London England
We introduce Dream2Real, a robotics framework which integrates vision-language models (VLMs) trained on 2D data into a 3D object rearrangement pipeline. This is achieved by the robot autonomously constructing a 3D rep... 详细信息
来源: 评论
Real-time Mapping of Physical Scene Properties with an Autonomous robot Experimenter  6
Real-time Mapping of Physical Scene Properties with an Auton...
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6th Conference on robot learning (CoRL)
作者: Haughton, Iain Sucar, Edgar Mouton, Andre Johns, Edward Davison, Andrew J. Dyson Technol Ltd Malmesbury England Imperial Coll Dyson Robot Lab London England Imperial Coll Robot Learning Lab London England
Neural fields can be trained from scratch to represent the shape and appearance of 3D scenes efficiently. It has also been shown that they can densely map correlated properties such as semantics, via sparse interactio... 详细信息
来源: 评论
Redundancy-Aware Action Spaces for robot learning
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IEEE robotICS AND AUTOMATION LETTERS 2024年 第8期9卷 6912-6919页
作者: Mazzaglia, Pietro Backshall, Nicholas Ma, Xiao James, Stephen Univ Ghent DLab B-9052 Ghent Belgium Dyson Robot Learning Lab London SW7 2AZ England
Joint space and task space control are the two dominant action modes for controlling robot arms within the robot learning literature. Actions in joint space provide precise control over the robot's pose, but tend ... 详细信息
来源: 评论
DALL-E-Bot: Introducing Web-Scale Diffusion Models to robotics
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IEEE robotICS AND AUTOMATION LETTERS 2023年 第7期8卷 3956-3963页
作者: Kapelyukh, Ivan Vosylius, Vitalis Johns, Edward Imperial Coll London Robot Learning Lab London SW7 2AZ England Imperial Coll London Dyson Robot Lab London SW7 2AZ England
We introduce the first work to explore web-scale diffusion models for robotics. DALL-E-Bot enables a robot to rearrange objects in a scene, by first inferring a text description of those objects, then generating an im... 详细信息
来源: 评论
Language-Conditioned Path Planning  7
Language-Conditioned Path Planning
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7th Conference on robot learning (CoRL)
作者: Xie, Amber Lee, Youngwoon Abbeel, Pieter James, Stephen Univ Calif Berkeley Berkeley CA 94720 USA Dyson Robot Learning Lab London England
Contact is at the core of robotic manipulation. At times, it is desired (e.g. manipulation and grasping), and at times, it is harmful (e.g. when avoiding obstacles). However, traditional path planning algorithms focus... 详细信息
来源: 评论
Multi-View Masked World Models for Visual robotic Manipulation  40
Multi-View Masked World Models for Visual Robotic Manipulati...
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40th International Conference on Machine learning, ICML 2023
作者: Seo, Younggyo Kim, Junsu James, Stephen Lee, Kimin Shin, Jinwoo Abbeel, Pieter KAIST Korea Republic of Dyson Robot Learning Lab Google Research UC Berkeley United States
Visual robotic manipulation research and applications often use multiple cameras, or views, to better perceive the world. How else can we utilize the richness of multi-view data? In this paper, we investigate how to l... 详细信息
来源: 评论