Kuan Fang

According to our database, Kuan Fang authored at least 34 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multistage Cable Routing Through Hierarchical Imitation Learning.

Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine

IEEE Trans. Robotics, 2024

Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset.

Andrew Goldberg, Kavish Kondap, Tianshuang Qiu, Zehan Ma, Letian Fu, Justin Kerr, Huang Huang, Kaiyuan Chen, Kuan Fang, Ken Goldberg

CoRR, 2024

KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data.

Grace Tang, Swetha Rajkumar, Yifei Zhou, Homer Rich Walke, Sergey Levine, Kuan Fang

CoRR, 2024

Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation.

Vivek Myers, Bill Chunyuan Zheng, Oier Mees, Sergey Levine, Kuan Fang

CoRR, 2024

Jacta: A Versatile Planner for Learning Dexterous and Whole-body Manipulation.

Jan Brüdigam, Ali-Adeeb Abbas, Maks Sorokin, Kuan Fang, Brandon Hung, Maya Guru, Stefan Sosnowski, Jiuguang Wang, Sandra Hirche, Simon Le Cleac'h

CoRR, 2024

Affordance-Guided Reinforcement Learning via Visual Prompting.

Olivia Y. Lee, Annie Xie, Kuan Fang, Karl Pertsch, Chelsea Finn

CoRR, 2024

MOKA: Open-Vocabulary Robotic Manipulation through Mark-Based Visual Prompting.

Fangchen Liu, Kuan Fang, Pieter Abbeel, Sergey Levine

CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data.

Chongyi Zheng, Benjamin Eysenbach, Homer Rich Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multi-Stage Cable Routing through Hierarchical Imitation Learning.

Jianlan Luo, Charles Xu, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine

CoRR, 2023

Stabilizing Contrastive RL: Techniques for Offline Goal Reaching.

Chongyi Zheng, Benjamin Eysenbach, Homer Walke, Patrick Yin, Kuan Fang, Ruslan Salakhutdinov, Sergey Levine

CoRR, 2023

Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible Tasks.

Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg

IROS, 2023

BridgeData V2: A Dataset for Robot Learning at Scale.

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

Proceedings of the Conference on Robot Learning, 2023

Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control.

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

Proceedings of the Conference on Robot Learning, 2023

2022

Active Task Randomization: Learning Visuomotor Skills for Sequential Manipulation by Proposing Feasible and Novel Tasks.

Kuan Fang, Toki Migimatsu, Ajay Mandlekar, Li Fei-Fei, Jeannette Bohg

CoRR, 2022

Planning to Practice: Efficient Online Fine-Tuning by Composing Goals in Latent Space.

Kuan Fang, Patrick Yin, Ashvin Nair, Sergey Levine

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks.

Kuan Fang, Patrick Yin, Ashvin Nair, Homer Walke, Gengchen Yan, Sergey Levine

Proceedings of the Conference on Robot Learning, 2022

2021

Discovering Generalizable Skills via Automated Generation of Diverse Tasks.

Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations.

Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yuke Zhu

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Adaptive Procedural Task Generation for Hard-Exploration Problems.

Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Learning task-oriented grasping for tool manipulation from simulated self-supervision.

Kuan Fang, Yuke Zhu, Animesh Garg, Andrey Kurenkov, Viraj Mehta, Li Fei-Fei, Silvio Savarese

Int. J. Robotics Res., 2020

Beyond Lexical: A Semantic Retrieval Framework for Textual SearchEngine.

Kuan Fang, Long Zhao, Zhan Shen, RuiXing Wang, RiKang Zhou, LiWen Fan

CoRR, 2020

SERank: Optimize Sequencewise Learning to Rank Using Squeeze-and-Excitation Network.

RuiXing Wang, Kuan Fang, RiKang Zhou, Zhan Shen, LiWen Fan

CoRR, 2020

KETO: Learning Keypoint Representations for Tool Manipulation.

Zengyi Qin, Kuan Fang, Yuke Zhu, Li Fei-Fei, Silvio Savarese

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks.

Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation.

Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Recurrent Autoregressive Networks for Online Multi-object Tracking.

Kuan Fang, Yu Xiang, Xiaocheng Li, Silvio Savarese

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Multi-Task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Silvio Savarese, Mrinal Kalakrishnan

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Demo2Vec: Reasoning Object Affordances From Online Videos.

Kuan Fang, Te-Lin Wu, Daniel Yang, Silvio Savarese, Joseph J. Lim

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Recurrent Autoregressive Networks for Online Multi-Object Tracking.

Kuan Fang, Yu Xiang, Silvio Savarese

CoRR, 2017

Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation.

Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Mrinal Kalakrishnan

CoRR, 2017

2016

DeLay: Robust Spatial Layout Estimation for Cluttered Indoor Scenes.

Saumitro Dasgupta, Kuan Fang, Kevin Chen, Silvio Savarese

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

RadixBoost: A hardware acceleration structure for scalable radix sort on graphic processors.

Xingyu Liu, Shikai Li, Kuan Fang, Yufei Ni, Zonghui Li, Yangdong Deng

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

2013

FastLanes: An FPGA accelerated GPU microarchitecture simulator.

Kuan Fang, Yufei Ni, Jiayuan He, Zonghui Li, Shuai Mu, Yangdong Deng

Proceedings of the 2013 IEEE 31st International Conference on Computer Design, 2013