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Precise robot manipulations require rich spatial information in imitation learning.
“Multi-View 3D Object Detection Network for Autonomous Driving”
Xiaozhi Chen et al · 1915
Earlier work this paper cites.
“3D ShapeNets: A Deep Representation for Volumetric Shapes”
Zhirong Wu et al · 1920
Earlier work this paper cites.
“ALVINN: An Autonomous Land Vehicle in a Neural Network”
Dean Pomerleau · 1988
Earlier work this paper cites.
“Learning Structured Output Representation using Deep Conditional Generative Models”
Kihyuk Sohn, Honglak Lee and Xinchen Yan · 2015
Earlier work this paper cites.
“Deep Residual Learning for Image Recognition”
Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun · 2016
Earlier work this paper cites.
“Vehicle Detection from 3D Lidar Using Fully Convolutional Network”
Bo Li, Tianlei Zhang and Tian Xia · 2016
Earlier work this paper cites.
“ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes”
Angela Dai et al · 2017
Earlier work this paper cites.
“PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation”
Charles Qi, Hao Su, Kaichun Mo and Leonidas Guibas · 2017
Earlier work this paper cites.
“OctNet: Learning Deep 3D Representations at High Resolutions”
Gernot Riegler, Ali Osman and Andreas Geiger · 2017
Earlier work this paper cites.
“Attention is All You Need”
Ashish Vaswani et al · 2017
Earlier work this paper cites.
“O-CNN: Octree-Based Convolutional Neural Networks for 3D Shape Analysis”
Peng-Shuai Wang et al · 2017
Earlier work this paper cites.
“3D Semantic Segmentation with Submanifold Sparse Convolutional Networks”
Benjamin Graham, Martin Engelcke and Laurens Van · 2018
Earlier work this paper cites.
“RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation”
Ajay Mandlekar et al · 2018
Earlier work this paper cites.
“Vision-Based Multi-Task Manipulation for Inexpensive Robots using End-to-End Learning from Demonstration”
Rouhollah Rahmatizadeh, Pooya Abolghasemi, Ladislau Bölöni and Sergey Levine · 2018
Earlier work this paper cites.
“Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation”
Tianhao Zhang et al · 2018
Earlier work this paper cites.
“VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection”
Yin Zhou and Oncel Tuzel · 2018
Earlier work this paper cites.
“4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks”
Christopher Choy, JunYoung Gwak and Silvio Savarese · 2019
Earlier work this paper cites.
“On the Continuity of Rotation Representations in Neural Networks”
Yi Zhou et al · 2019
Earlier work this paper cites.
“Denoising Diffusion Probabilistic Models”
Jonathan Ho, Ajay Jain and Pieter Abbeel · 2020
Earlier work this paper cites.
“RLBench: The Robot Learning Benchmark & Learning Environment”
Stephen James, Zicong Ma, David Arrojo and Andrew Davison · 2020
Earlier work this paper cites.
“MVTN: Multi-View Transformation Network for 3D Shape Recognition”
Abdullah Hamdi, Silvio Giancola and Bernard Ghanem · 2021
Earlier work this paper cites.
“BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning”
Eric Jang et al · 2021
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“What Matters in Learning from Offline Human Demonstrations for Robot Manipulation”
Ajay Mandlekar et al · 2021
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“NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis”
Ben Mildenhall et al · 2021
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“3D Object Detection with PointFormer”
Xuran Pan et al · 2021
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“Denoising Diffusion Implicit Models”
Jiaming Song, Chenlin Meng and Stefano Ermon · 2021
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“Contact-Graspnet: Efficient 6-DoF Grasp Generation in Cluttered Scenes”
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel and Dieter Fox · 2021
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“AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains”
Hao-Shu Fang et al · 2023
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“Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation”
Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios and Katerina Fragkiadaki · 2023
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“RVT: Robotic View Transformer for 3D Object Manipulation”
Ankit Goyal et al · 2023
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“Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition”
Huy Ha, Pete Florence and Shuran Song · 2023
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“LIV: Language-Image Representations and Rewards for Robotic Control”
Yecheng Ma et al · 2023
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“VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training”
Yecheng Ma et al · 2023
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“Point Transformer”
Hengshuang Zhao et al · 2021
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“Reinforcement Learning with Neural Radiance Fields”
Danny Driess et al · 2022
Cited alongside, same era.
“Instruction-Driven History-Aware Policies for Robotic Manipulations”
Pierre-Louis Guhur et al · 2022
Cited alongside, same era.
“Coarse-to-Fine Q-Attention: Efficient Learning for Visual Robotic Manipulation via Discretisation”
Stephen James, Kentaro Wada, Tristan Laidlow and Andrew Davison · 2022
Cited alongside, same era.
“Planning with Diffusion for Flexible Behavior Synthesis”
Michael Janner, Yilun Du, Joshua Tenenbaum and Sergey Levine · 2022
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“CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks”
Oier Mees, Lukas Hermann, Erick Rosete-Beas and Wolfram Burgard · 2022
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“Where are We in the Search for an Artificial Visual Cortex for Embodied Intelligence?”
Arjun Majumdar et al · 2023
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“Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation”
William Shen et al · 2023
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“Octo: An Open-Source Generalist Robot Policy”, 2023
Octo Team et al · 2023
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“ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation”
Zhou Xian et al · 2023
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“FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models”
Jianglong Ye, Naiyan Wang and Xiaolong Wang · 2023
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“GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields”
Yanjie Ze et al · 2023
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“A Universal Semantic-Geometric Representation for Robotic Manipulation”
Tong Zhang et al · 2023
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“Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware”
Tony Zhao, Vikash Kumar, Sergey Levine and Chelsea Finn · 2023
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“Learning generalizable manipulation policies with object-centric 3d representations”
Yifeng Zhu, Zhenyu Jiang, Peter Stone and Yuke Zhu · 2023
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“RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control”
Brianna Zitkovich et al · 2023
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“RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot”
Hao-Shu Fang et al · 2024
Closest in time.
“AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild”
Hongjie Fang et al · 2024
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“Open X-Embodiment: Robotic Learning Datasets and RT-X Models”
Abhishek Padalkar et al · 2024
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“DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation”
Chen Wang et al · 2024
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“3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations”
Yanjie Ze et al · 2024
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