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ORCIDAndy Zeng 0001
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- affiliation: Google DeepMind, Mountain View, CA, USA
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2020 – today
- 2024
[j10]Kento Kawaharazuka, Tatsuya Matsushima, Shuhei Kurita, Chris Paxton, Andy Zeng, Tetsuya Ogata, Tadahiro Taniguchi:
Special issue on real-world robot applications of the foundation models. Adv. Robotics 38(18): 1231 (2024)- [j9]Kento Kawaharazuka
, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng:
Real-world robot applications of foundation models: a review. Adv. Robotics 38(18): 1232-1254 (2024) - [c50]Karthik Mahadevan, Jonathan Chien, Noah Brown, Zhuo Xu, Carolina Parada, Fei Xia, Andy Zeng, Leila Takayama, Dorsa Sadigh:
Generative Expressive Robot Behaviors using Large Language Models. HRI 2024: 482-491 - [c49]Yilun Du, Sherry Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson:
Video Language Planning. ICLR 2024 - [c48]Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter:
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. ICML 2024 - [c47]Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter:
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. ICML 2024 - [c46]Montserrat Gonzalez Arenas, Ted Xiao, Sumeet Singh, Vidhi Jain, Allen Z. Ren, Quan Vuong, Jake Varley, Alexander Herzog, Isabel Leal, Sean Kirmani, Mario Prats, Dorsa Sadigh, Vikas Sindhwani, Kanishka Rao, Jacky Liang, Andy Zeng:
How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies. ICRA 2024: 4340-4348 - [c45]Lihan Zha, Yuchen Cui, Li-Heng Lin, Minae Kwon, Montserrat Gonzalez Arenas, Andy Zeng, Fei Xia, Dorsa Sadigh:
Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections. ICRA 2024: 15172-15179 - [i50]Karthik Mahadevan, Jonathan Chien, Noah Brown, Zhuo Xu, Carolina Parada, Fei Xia, Andy Zeng, Leila Takayama, Dorsa Sadigh:
Generative Expressive Robot Behaviors using Large Language Models. CoRR abs/2401.14673 (2024) - [i49]Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng:
Real-World Robot Applications of Foundation Models: A Review. CoRR abs/2402.05741 (2024) - [i48]Soroush Nasiriany, Fei Xia, Wenhao Yu, Ted Xiao, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess, Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee, Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter:
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs. CoRR abs/2402.07872 (2024) - [i47]Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada:
Learning to Learn Faster from Human Feedback with Language Model Predictive Control. CoRR abs/2402.11450 (2024) - [i46]Jake Varley, Sumeet Singh, Deepali Jain, Krzysztof Choromanski, Andy Zeng, Somnath Basu Roy Chowdhury, Avinava Dubey, Vikas Sindhwani:
Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity. CoRR abs/2404.03570 (2024) - 2023
- [j8]Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas A. Funkhouser:
TidyBot: personalized robot assistance with large language models. Auton. Robots 47(8): 1087-1102 (2023) - [j7]Nutan Chen, Walterio W. Mayol-Cuevas, Maximilian Karl, Elie Aljalbout, Andy Zeng, Aurelio Cortese, Wolfram Burgard, Herke van Hoof:
Editorial: Language, affordance and physics in robot cognition and intelligent systems. Frontiers Robotics AI 10 (2023) - [j6]Zherong Pan, Andy Zeng, Yunzhu Li, Jingjin Yu, Kris Hauser:
Algorithms and Systems for Manipulating Multiple Objects. IEEE Trans. Robotics 39(1): 2-20 (2023) - [c44]Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. ACL (2) 2023: 747-761 - [c43]Yulong Li, Andy Zeng, Shuran Song:
Rearrangement Planning for General Part Assembly. CoRL 2023: 127-143 - [c42]Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montserrat Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia:
Language to Rewards for Robotic Skill Synthesis. CoRL 2023: 374-404 - [c41]Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar:
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. CoRL 2023: 661-682 - [c40]Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng:
Large Language Models as General Pattern Machines. CoRL 2023: 2498-2518 - [c39]Youngsun Wi, Mark Van der Merwe, Pete Florence, Andy Zeng, Nima Fazeli:
CALAMARI: Contact-Aware and Language conditioned spatial Action MApping for contact-RIch manipulation. CoRL 2023: 2753-2771 - [c38]Kevin Zakka, Philipp Wu, Laura M. Smith, Nimrod Gileadi, Taylor Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel:
RoboPianist: Dexterous Piano Playing with Deep Reinforcement Learning. CoRL 2023: 2975-2994 - [c37]Andy Zeng, Maria Attarian, Brian Ichter, Krzysztof Marcin Choromanski, Adrian Wong, Stefan Welker, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence:
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. ICLR 2023 - [c36]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. ICML 2023: 8469-8488 - [c35]Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, Andy Zeng:
Code as Policies: Language Model Programs for Embodied Control. ICRA 2023: 9493-9500 - [c34]Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard:
Visual Language Maps for Robot Navigation. ICRA 2023: 10608-10615 - [c33]Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas A. Funkhouser:
TidyBot: Personalized Robot Assistance with Large Language Models. IROS 2023: 3546-3553 - [c32]Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter:
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. NeurIPS 2023 - [c31]Andy Zeng, Brian Ichter, Fei Xia, Ted Xiao, Vikas Sindhwani:
Demonstrating Large Language Models on Robots. Robotics: Science and Systems 2023 - [i45]Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter:
Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. CoRR abs/2303.00855 (2023) - [i44]Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence:
PaLM-E: An Embodied Multimodal Language Model. CoRR abs/2303.03378 (2023) - [i43]Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard:
Audio Visual Language Maps for Robot Navigation. CoRR abs/2303.07522 (2023) - [i42]Kevin Zakka, Laura M. Smith, Nimrod Gileadi, Taylor A. Howell, Xue Bin Peng, Sumeet Singh, Yuval Tassa, Pete Florence, Andy Zeng, Pieter Abbeel:
RoboPianist: A Benchmark for High-Dimensional Robot Control. CoRR abs/2304.04150 (2023) - [i41]Jimmy Wu, Rika Antonova, Adam Kan, Marion Lepert, Andy Zeng, Shuran Song, Jeannette Bohg, Szymon Rusinkiewicz, Thomas A. Funkhouser:
TidyBot: Personalized Robot Assistance with Large Language Models. CoRR abs/2305.05658 (2023) - [i40]Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein:
Modular Visual Question Answering via Code Generation. CoRR abs/2306.05392 (2023) - [i39]Wenhao Yu, Nimrod Gileadi, Chuyuan Fu, Sean Kirmani, Kuang-Huei Lee, Montse Gonzalez Arenas, Hao-Tien Lewis Chiang, Tom Erez, Leonard Hasenclever, Jan Humplik, Brian Ichter, Ted Xiao, Peng Xu, Andy Zeng, Tingnan Zhang, Nicolas Heess, Dorsa Sadigh, Jie Tan, Yuval Tassa, Fei Xia:
Language to Rewards for Robotic Skill Synthesis. CoRR abs/2306.08647 (2023) - [i38]Yulong Li, Andy Zeng, Shuran Song:
General Part Assembly Planning. CoRR abs/2307.00206 (2023) - [i37]Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar:
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners. CoRR abs/2307.01928 (2023) - [i36]Suvir Mirchandani, Fei Xia, Pete Florence, Brian Ichter, Danny Driess, Montserrat Gonzalez Arenas, Kanishka Rao, Dorsa Sadigh, Andy Zeng:
Large Language Models as General Pattern Machines. CoRR abs/2307.04721 (2023) - [i35]Yilun Du, Mengjiao Yang, Pete Florence, Fei Xia, Ayzaan Wahid, Brian Ichter, Pierre Sermanet, Tianhe Yu, Pieter Abbeel, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Andy Zeng, Jonathan Tompson:
Video Language Planning. CoRR abs/2310.10625 (2023) - [i34]Lihan Zha, Yuchen Cui, Li-Heng Lin, Minae Kwon, Montserrat Gonzalez Arenas, Andy Zeng, Fei Xia, Dorsa Sadigh:
Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections. CoRR abs/2311.10678 (2023) - [i33]Chengshu Li, Jacky Liang, Andy Zeng, Xinyun Chen, Karol Hausman, Dorsa Sadigh, Sergey Levine, Li Fei-Fei, Fei Xia, Brian Ichter:
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator. CoRR abs/2312.04474 (2023) - 2022
- [j5]Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois Robert Hogan, Maria Bauzá, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle, Rachel M. Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian H. Taylor, Weber Liu, Thomas A. Funkhouser, Alberto Rodriguez:
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching. Int. J. Robotics Res. 41(7): 690-705 (2022) - [j4]Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas A. Funkhouser:
Learning Pneumatic Non-Prehensile Manipulation With a Mobile Blower. IEEE Robotics Autom. Lett. 7(3): 8471-8478 (2022) - [c30]Brian Ichter, Anthony Brohan, Yevgen Chebotar, Chelsea Finn, Karol Hausman, Alexander Herzog, Daniel Ho, Julian Ibarz, Alex Irpan, Eric Jang, Ryan Julian, Dmitry Kalashnikov, Sergey Levine, Yao Lu, Carolina Parada, Kanishka Rao, Pierre Sermanet, Alexander Toshev, Vincent Vanhoucke, Fei Xia, Ted Xiao, Peng Xu, Mengyuan Yan, Noah Brown, Michael Ahn, Omar Cortes, Nicolas Sievers, Clayton Tan, Sichun Xu, Diego Reyes, Jarek Rettinghouse, Jornell Quiambao, Peter Pastor, Linda Luu, Kuang-Huei Lee, Yuheng Kuang, Sally Jesmonth, Nikhil J. Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, Chuyuan Kelly Fu:
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances. CoRL 2022: 287-318 - [c29]Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Tomas Jackson, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter:
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRL 2022: 1769-1782 - [c28]Youngsun Wi, Andy Zeng, Pete Florence, Nima Fazeli:
VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects. CoRL 2022: 1806-1816 - [c27]Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola:
MIRA: Mental Imagery for Robotic Affordances. CoRL 2022: 1916-1927 - [c26]Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S. Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller:
Hybrid Random Features. ICLR 2022 - [c25]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. ICRA 2022: 2489-2496 - [c24]Aditya Ganapathi, Pete Florence, Jake Varley, Kaylee Burns, Ken Goldberg, Andy Zeng:
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning. ICRA 2022: 2656-2662 - [c23]Youngsun Wi, Pete Florence, Andy Zeng, Nima Fazeli:
VIRDO: Visio-tactile Implicit Representations of Deformable Objects. ICRA 2022: 3583-3590 - [c22]Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke, Ken Goldberg:
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research. IROS 2022: 251-257 - [c21]Sumeet Singh, Francis McCann Ramirez, Jacob Varley, Andy Zeng, Vikas Sindhwani:
Multiscale Sensor Fusion and Continuous Control with Neural CDEs. IROS 2022: 10897-10904 - [i32]Youngsun Wi, Pete Florence, Andy Zeng, Nima Fazeli:
VIRDO: Visio-tactile Implicit Representations of Deformable Objects. CoRR abs/2202.00868 (2022) - [i31]Aditya Ganapathi, Pete Florence, Jake Varley, Kaylee Burns, Ken Goldberg, Andy Zeng:
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning. CoRR abs/2203.01983 (2022) - [i30]Sumeet Singh, Francis McCann Ramirez, Jacob Varley, Andy Zeng, Vikas Sindhwani:
Multiscale Sensor Fusion and Continuous Control with Neural CDEs. CoRR abs/2203.08715 (2022) - [i29]Andy Zeng, Adrian Wong, Stefan Welker, Krzysztof Choromanski, Federico Tombari, Aveek Purohit, Michael S. Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence:
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language. CoRR abs/2204.00598 (2022) - [i28]Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas A. Funkhouser:
Learning Pneumatic Non-Prehensile Manipulation with a Mobile Blower. CoRR abs/2204.02390 (2022) - [i27]Ryan Hoque, Kaushik Shivakumar, Shrey Aeron, Gabriel Deza, Aditya Ganapathi, Adrian Wong, Johnny Lee, Andy Zeng, Vincent Vanhoucke, Ken Goldberg:
Learning to Fold Real Garments with One Arm: A Case Study in Cloud-Based Robotics Research. CoRR abs/2204.10297 (2022) - [i26]Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter:
Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRR abs/2207.05608 (2022) - [i25]Jacky Liang, Wenlong Huang, Fei Xia, Peng Xu, Karol Hausman, Brian Ichter, Pete Florence, Andy Zeng:
Code as Policies: Language Model Programs for Embodied Control. CoRR abs/2209.07753 (2022) - [i24]Youngsun Wi, Andy Zeng, Pete Florence, Nima Fazeli:
VIRDO++: Real-World, Visuo-tactile Dynamics and Perception of Deformable Objects. CoRR abs/2210.03701 (2022) - [i23]Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard:
Visual Language Maps for Robot Navigation. CoRR abs/2210.05714 (2022) - [i22]Yen-Chen Lin, Pete Florence, Andy Zeng, Jonathan T. Barron, Yilun Du, Wei-Chiu Ma, Anthony Simeonov, Alberto Rodriguez Garcia, Phillip Isola:
MIRA: Mental Imagery for Robotic Affordances. CoRR abs/2212.06088 (2022) - 2021
- [c20]Pete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson:
Implicit Behavioral Cloning. CoRL 2021: 158-168 - [c19]Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi:
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRL 2021: 537-546 - [c18]Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng:
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. ICRA 2021: 4568-4575 - [c17]Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas A. Funkhouser:
Spatial Intention Maps for Multi-Agent Mobile Manipulation. ICRA 2021: 8749-8756 - [c16]Alberto Camacho, Jacob Varley, Andy Zeng, Deepali Jain, Atil Iscen, Dmitry Kalashnikov:
Reward Machines for Vision-Based Robotic Manipulation. ICRA 2021: 14284-14290 - [i21]Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas A. Funkhouser:
Spatial Intention Maps for Multi-Agent Mobile Manipulation. CoRR abs/2103.12710 (2021) - [i20]Kevin Zakka, Andy Zeng, Pete Florence, Jonathan Tompson, Jeannette Bohg, Debidatta Dwibedi:
XIRL: Cross-embodiment Inverse Reinforcement Learning. CoRR abs/2106.03911 (2021) - [i19]Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin:
Learning to See before Learning to Act: Visual Pre-training for Manipulation. CoRR abs/2107.00646 (2021) - [i18]Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson:
Implicit Behavioral Cloning. CoRR abs/2109.00137 (2021) - [i17]Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust:
Multi-Task Learning with Sequence-Conditioned Transporter Networks. CoRR abs/2109.07578 (2021) - [i16]Krzysztof Choromanski, Haoxian Chen, Han Lin, Yuanzhe Ma, Arijit Sehanobish, Deepali Jain, Michael S. Ryoo, Jake Varley, Andy Zeng, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller:
Hybrid Random Features. CoRR abs/2110.04367 (2021) - 2020
- [j3]Masahiro Fujita, Yukiyasu Domae, Akio Noda, Gustavo Alfonso Garcia Ricardez, Tatsuya Nagatani, Andy Zeng, Shuran Song, Alberto Rodriguez, Albert J. Causo, I-Ming Chen, Tsukasa Ogasawara:
What are the important technologies for bin picking? Technology analysis of robots in competitions based on a set of performance metrics. Adv. Robotics 34(7-8): 560-574 (2020) - [j2]Shuran Song, Andy Zeng, Johnny Lee, Thomas A. Funkhouser:
Grasping in the Wild: Learning 6DoF Closed-Loop Grasping From Low-Cost Demonstrations. IEEE Robotics Autom. Lett. 5(3): 4978-4985 (2020) - [j1]Andy Zeng, Shuran Song, Johnny Lee, Alberto Rodriguez, Thomas A. Funkhouser:
TossingBot: Learning to Throw Arbitrary Objects With Residual Physics. IEEE Trans. Robotics 36(4): 1307-1319 (2020) - [c15]Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee:
Transporter Networks: Rearranging the Visual World for Robotic Manipulation. CoRL 2020: 726-747 - [c14]Shreeyak S. Sajjan, Matthew Moore, Mike Pan, Ganesh Nagaraja, Johnny Lee, Andy Zeng, Shuran Song:
Clear Grasp: 3D Shape Estimation of Transparent Objects for Manipulation. ICRA 2020: 3634-3642 - [c13]Yen-Chen Lin, Andy Zeng, Shuran Song, Phillip Isola, Tsung-Yi Lin:
Learning to See before Learning to Act: Visual Pre-training for Manipulation. ICRA 2020: 7286-7293 - [c12]Kevin Zakka, Andy Zeng, Johnny Lee, Shuran Song:
Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly. ICRA 2020: 9404-9410 - [c11]Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, Thomas A. Funkhouser:
Spatial Action Maps for Mobile Manipulation. Robotics: Science and Systems 2020 - [i15]Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, Thomas A. Funkhouser:
Spatial Action Maps for Mobile Manipulation. CoRR abs/2004.09141 (2020) - [i14]Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee:
Transporter Networks: Rearranging the Visual World for Robotic Manipulation. CoRR abs/2010.14406 (2020) - [i13]Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, Andy Zeng:
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks. CoRR abs/2012.03385 (2020)
2010 – 2019
- 2019
- [b1]Andy Zeng:
Learning Visual Affordances for Robotic Manipulation. Princeton University, USA, 2019 - [c10]Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions. Robotics: Science and Systems 2019 - [c9]Andy Zeng, Shuran Song, Johnny Lee, Alberto Rodriguez, Thomas A. Funkhouser:
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics. Robotics: Science and Systems 2019 - [i12]Andy Zeng, Shuran Song, Johnny Lee, Alberto Rodriguez, Thomas A. Funkhouser:
TossingBot: Learning to Throw Arbitrary Objects with Residual Physics. CoRR abs/1903.11239 (2019) - [i11]Zhenjia Xu, Jiajun Wu, Andy Zeng, Joshua B. Tenenbaum, Shuran Song:
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions. CoRR abs/1906.03853 (2019) - [i10]Shreeyak S. Sajjan, Matthew Moore, Mike Pan, Ganesh Nagaraja, Johnny Lee, Andy Zeng, Shuran Song:
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation. CoRR abs/1910.02550 (2019) - [i9]Kevin Zakka, Andy Zeng, Johnny Lee, Shuran Song:
Form2Fit: Learning Shape Priors for Generalizable Assembly from Disassembly. CoRR abs/1910.13675 (2019) - [i8]Shuran Song, Andy Zeng, Johnny Lee, Thomas A. Funkhouser:
Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations. CoRR abs/1912.04344 (2019) - 2018
- [c8]Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas A. Funkhouser:
Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View. CVPR 2018: 3847-3856 - [c7]Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois Robert Hogan, Maria Bauzá, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle, Rachel M. Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian H. Taylor, Weber Liu, Thomas A. Funkhouser, Alberto Rodriguez:
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching. ICRA 2018: 1-8 - [c6]Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, Thomas A. Funkhouser:
Learning Synergies Between Pushing and Grasping with Self-Supervised Deep Reinforcement Learning. IROS 2018: 4238-4245 - [i7]Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, Thomas A. Funkhouser:
Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning. CoRR abs/1803.09956 (2018) - 2017
- [c5]Angel X. Chang, Angela Dai, Thomas A. Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang:
Matterport3D: Learning from RGB-D Data in Indoor Environments. 3DV 2017: 667-676 - [c4]Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser:
Semantic Scene Completion from a Single Depth Image. CVPR 2017: 190-198 - [c3]Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, Thomas A. Funkhouser:
3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions. CVPR 2017: 199-208 - [c2]Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao:
Multi-view self-supervised deep learning for 6D pose estimation in the Amazon Picking Challenge. ICRA 2017: 1386-1383 - [i6]Angel X. Chang, Angela Dai, Thomas A. Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang:
Matterport3D: Learning from RGB-D Data in Indoor Environments. CoRR abs/1709.06158 (2017) - [i5]Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois Robert Hogan, Maria Bauzá, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle, Rachel M. Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian H. Taylor, Weber Liu, Thomas A. Funkhouser, Alberto Rodriguez:
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching. CoRR abs/1710.01330 (2017) - [i4]Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas A. Funkhouser:
Im2Pano3D: Extrapolating 360 Structure and Semantics Beyond the Field of View. CoRR abs/1712.04569 (2017) - 2016
- [i3]Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao:
3DMatch: Learning the Matching of Local 3D Geometry in Range Scans. CoRR abs/1603.08182 (2016) - [i2]Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker Jr., Alberto Rodriguez, Jianxiong Xiao:
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge. CoRR abs/1609.09475 (2016) - [i1]Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser:
Semantic Scene Completion from a Single Depth Image. CoRR abs/1611.08974 (2016) - 2015
- [c1]Andy Zeng, Vishnu Naresh Boddeti, Kris M. Kitani, Takeo Kanade:
Face Alignment Refinement. WACV 2015: 162-169
Coauthor Index
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