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2020 – today
- 2024
[j2]Jianlan Luo
, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine:
Multistage Cable Routing Through Hierarchical Imitation Learning. IEEE Trans. Robotics 40: 1476-1491 (2024)- [c20]Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine:
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data. ICLR 2024 - [c19]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [i24]Fangchen Liu, Kuan Fang, Pieter Abbeel, Sergey Levine:
MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting. CoRR abs/2403.03174 (2024) - [i23]Olivia Y. Lee, Annie Xie, Kuan Fang, Karl Pertsch, Chelsea Finn:
Affordance-Guided Reinforcement Learning via Visual Prompting. CoRR abs/2407.10341 (2024) - [i22]Jan Brüdigam, Ali-Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru, Stefan Sosnowski, Jiuguang Wang, Sandra Hirche, Simon Le Cleac'h:
Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation. CoRR abs/2408.01258 (2024) - [i21]Vivek Myers, Bill Chunyuan Zheng, Oier Mees, Sergey Levine, Kuan Fang:
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation. CoRR abs/2408.16228 (2024) - [i20]Grace Tang, Swetha Rajkumar, Yifei Zhou, Homer Rich Walke, Sergey Levine, Kuan Fang:
KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data. CoRR abs/2409.14066 (2024) - [i19]Andrew Goldberg, Kavish Kondap, Tianshuang Qiu, Zehan Ma, Letian Fu, Justin Kerr, Huang Huang, Kaiyuan Chen, Kuan Fang, Ken Goldberg:
Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset. CoRR abs/2409.17126 (2024) - 2023
- [c18]Homer Rich Walke, Kevin Black, Tony Z. Zhao, Quan Vuong, Chongyi Zheng, Philippe Hansen-Estruch, Andre Wang He, Vivek Myers, Moo Jin Kim, Max Du, Abraham Lee, Kuan Fang, Chelsea Finn, Sergey Levine:
BridgeData V2: A Dataset for Robot Learning at Scale. CoRL 2023: 1723-1736 - [c17]Vivek Myers, Andre Wang He, Kuan Fang, Homer Rich Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRL 2023: 3894-3908 - [c16]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks. IROS 2023: 1-8 - [i18]Chongyi Zheng, Benjamin Eysenbach, Homer Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine:
Stabilizing Contrastive RL: Techniques for Offline Goal Reaching. CoRR abs/2306.03346 (2023) - [i17]Vivek Myers, Andre He, Kuan Fang, Homer Walke, Philippe Hansen-Estruch, Ching-An Cheng, Mihai Jalobeanu, Andrey Kolobov, Anca D. Dragan, Sergey Levine:
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control. CoRR abs/2307.00117 (2023) - [i16]Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine:
Multi-Stage Cable Routing through Hierarchical Imitation Learning. CoRR abs/2307.08927 (2023) - [i15]Homer Walke, Kevin Black, Abraham Lee, Moo Jin Kim, Maximilian Du, Chongyi Zheng, Tony Z. Zhao, Philippe Hansen-Estruch, Quan Vuong, Andre He, Vivek Myers, Kuan Fang, Chelsea Finn, Sergey Levine:
BridgeData V2: A Dataset for Robot Learning at Scale. CoRR abs/2308.12952 (2023) - 2022
- [c15]Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine:
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. CoRL 2022: 106-117 - [c14]Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine:
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. IROS 2022: 4076-4083 - [i14]Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine:
Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space. CoRR abs/2205.08129 (2022) - [i13]Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine:
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks. CoRR abs/2210.06601 (2022) - [i12]Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg:
Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks. CoRR abs/2211.06134 (2022) - 2021
- [c13]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. ICLR 2021 - [c12]Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu:
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations. Robotics: Science and Systems 2021 - [c11]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. Robotics: Science and Systems 2021 - [i11]Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu:
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations. CoRR abs/2104.01542 (2021) - [i10]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Discovering Generalizable Skills via Automated Generation of Diverse Tasks. CoRR abs/2106.13935 (2021) - 2020
- [j1]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning task-oriented grasping for tool manipulation from simulated self-supervision. Int. J. Robotics Res. 39(2-3) (2020) - [c10]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. ICRA 2020: 7278-7285 - [i9]RuiXing Wang, Kuan Fang, RiKang Zhou, Zhan Shen, LiWen Fan:
SERank: Optimize Sequencewise Learning to Rank Using Squeeze-and-Excitation Network. CoRR abs/2006.04084 (2020) - [i8]Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Adaptive Procedural Task Generation for Hard-Exploration Problems. CoRR abs/2007.00350 (2020) - [i7]Kuan Fang, Long Zhao, Zhan Shen, RuiXing Wang, RiKang Zhou, LiWen Fan:
Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine. CoRR abs/2008.03917 (2020)
2010 – 2019
- 2019
- [c9]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRL 2019: 42-52 - [c8]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CVPR 2019: 538-547 - [i6]Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese:
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks. CoRR abs/1903.03878 (2019) - [i5]Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese:
KETO: Learning Keypoint Representations for Tool Manipulation. CoRR abs/1910.11977 (2019) - [i4]Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei:
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. CoRR abs/1910.13395 (2019) - 2018
- [c7]Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim:
Demo2Vec: Reasoning Object Affordances From Online Videos. CVPR 2018: 2139-2147 - [c6]Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Silvio Savarese, Mrinal Kalakrishnan:
Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. ICRA 2018: 3516-3523 - [c5]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. Robotics: Science and Systems 2018 - [c4]Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese:
Recurrent Autoregressive Networks for Online Multi-object Tracking. WACV 2018: 466-475 - [i3]Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese:
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision. CoRR abs/1806.09266 (2018) - 2017
- [i2]Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Mrinal Kalakrishnan:
Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation. CoRR abs/1710.06422 (2017) - [i1]Kuan Fang, Yu Xiang, Silvio Savarese:
Recurrent Autoregressive Networks for Online Multi-Object Tracking. CoRR abs/1711.02741 (2017) - 2016
- [c3]Saumitro Dasgupta, Kuan Fang, Kevin Chen, Silvio Savarese:
DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes. CVPR 2016: 616-624 - 2015
- [c2]Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng:
RadixBoost: A hardware acceleration structure for scalable radix sort on graphic processors. ISCAS 2015: 1174-1177 - 2013
- [c1]Kuan Fang, Yufei Ni, Jiayuan He, Zonghui Li, Shuai Mu, Yangdong Deng:
FastLanes: An FPGA accelerated GPU microarchitecture simulator. ICCD 2013: 241-248
Coauthor Index
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last updated on 2024-11-13 23:51 CET by the dblp team
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