Andy Zeng

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Shuran SongStanford UniversityDirección de correo verificada de stanford.edu
Pete FlorenceSenior Research Scientist, Google DeepMindDirección de correo verificada de google.com
Thomas FunkhouserPrinceton University and GoogleDirección de correo verificada de cs.princeton.edu
Fei XiaResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Brian IchterResearch Scientist, Google BrainDirección de correo verificada de google.com
Johnny LeeGoogleDirección de correo verificada de google.com
Karol HausmanPhysical Intelligence, StanfordDirección de correo verificada de physicalintelligence.company
Igor MordatchGoogle DeepMindDirección de correo verificada de google.com
Matthias NießnerProfessor of Computer Science, Technical University of MunichDirección de correo verificada de tum.de
Jacky LiangGoogle DeepMindDirección de correo verificada de google.com
Dorsa SadighStanford UniversityDirección de correo verificada de cs.stanford.edu
Vincent VanhouckeDistinguished Engineer, WaymoDirección de correo verificada de google.com
Corey LynchFigure.aiDirección de correo verificada de figure.ai
Jimmy WuPrinceton UniversityDirección de correo verificada de cs.princeton.edu
Wolfram BurgardProfessor of Computer Science, Technical University of NurembergDirección de correo verificada de utn.de
Kevin ZakkaUC BerkeleyDirección de correo verificada de berkeley.edu
Jeannette BohgAssistant Professor, Stanford UniversityDirección de correo verificada de stanford.edu
Ken GoldbergProfessor, UC Berkeley and UCSFDirección de correo verificada de berkeley.edu
Daniel SeitaUniversity of Southern CaliforniaDirección de correo verificada de usc.edu
Danny DriessGoogle DeepMind

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Andy Zeng

Research Scientist, Google DeepMind

Dirección de correo verificada de google.com - Página principal

Robotics Machine Learning Computer Vision


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Matterport3D: Learning from RGB-D Data in Indoor Environments A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ... IEEE International Conference on 3D Vision (3DV), 2017	2093	2017
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances M Ahn, A Brohan, N Brown, Y Chebotar, O Cortes, B David, C Finn, C Fu, ... Conference on Robot Learning (CoRL), 2022	1889*	2022
PaLM-E: An Embodied Multimodal Language Model D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ... International Conference on Machine Learning (ICML), 2023	1585	2023
Semantic Scene Completion from a Single Depth Image S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	1438	2017
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions A Zeng, S Song, M Nießner, M Fisher, J Xiao, T Funkhouser IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	1202	2017
Inner Monologue: Embodied Reasoning through Planning with Language Models W Huang, F Xia, T Xiao, H Chan, J Liang, P Florence, A Zeng, J Tompson, ... Conference on Robot Learning (CoRL), 2022	870	2022
Code as Policies: Language Model Programs for Embodied Control J Liang, W Huang, F Xia, P Xu, K Hausman, B Ichter, P Florence, A Zeng IEEE International Conference on Robotics and Automation (ICRA), 2023	824	2023
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching A Zeng, S Song, KT Yu, E Donlon, FR Hogan, M Bauza, D Ma, O Taylor, ... The International Journal of Robotics Research (IJRR), 2018	807*	2018
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning A Zeng, S Song, S Welker, J Lee, A Rodriguez, T Funkhouser IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018	693	2018
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge A Zeng, KT Yu, S Song, D Suo, E Walker, A Rodriguez, J Xiao IEEE International Conference on Robotics and Automation (ICRA), 2017	578	2017
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language A Zeng, M Attarian, B Ichter, K Choromanski, A Wong, S Welker, ... International Conference on Learning Representations (ICLR), 2023	513	2023
Transporter Networks: Rearranging the Visual World for Robotic Manipulation A Zeng, P Florence, J Tompson, S Welker, J Chien, M Attarian, ... Conference on Robot Learning (CoRL), 2020	468	2020
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics A Zeng, S Song, J Lee, A Rodriguez, T Funkhouser Robotics: Science and Systems (RSS), 2019	462	2019
Implicit Behavioral Cloning P Florence, C Lynch, A Zeng, O Ramirez, A Wahid, L Downs, A Wong, ... Conference on Robot Learning (CoRL), 2021	384	2021
Visual Language Maps for Robot Navigation C Huang, O Mees, A Zeng, W Burgard IEEE International Conference on Robotics and Automation (ICRA), 2023	357	2023
TidyBot: Personalized Robot Assistance with Large Language Models J Wu, R Antonova, A Kan, M Lepert, A Zeng, S Song, J Bohg, ... arXiv preprint arXiv:2305.05658, 2023	320	2023
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation SS Sajjan, M Moore, M Pan, G Nagaraja, J Lee, A Zeng, S Song IEEE International Conference on Robotics and Automation (ICRA), 2020	260	2020
Language to rewards for robotic skill synthesis W Yu, N Gileadi, C Fu, S Kirmani, KH Lee, MG Arenas, HTL Chiang, ... arXiv preprint arXiv:2306.08647, 2023	250	2023
Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations S Song, A Zeng, J Lee, T Funkhouser IEEE Robotics and Automation Letters (RA-L), 2020	248	2020
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks D Seita, P Florence, J Tompson, E Coumans, V Sindhwani, K Goldberg, ... IEEE International Conference on Robotics and Automation (ICRA), 2021	193	2021

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