Jie Tan

According to our database, Jie Tan authored at least 94 papers between 2011 and 2025.

Collaborative distances:

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

2025

Predicting Human Perceptions of Robot Performance during Navigation Tasks.

Qiping Zhang, Nathan Tsoi, Mofeed Nagib, Booyeon Choi, Jie Tan, Hao-Tien Lewis Chiang, Marynel Vázquez

ACM Trans. Hum. Robot Interact., June, 2025

Autonomous Mario Kart in the Wild: Lessons Learned From the Earth Rover Challenge at IROS 2024 [Competitions].

Xuesu Xiao, Jie Tan, Michael Cho, David Hsu, Dhruv Shah, Joanne Truong, Ted Xiao, Naoki Yokoyama, Wenhao Yu, Tingnan Zhang, Zhuo Xu, Santiago Pravisani, Niresh Dravin, Mohammad Alshamsi

IEEE Robotics Autom. Mag., June, 2025

Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining.

Yaru Niu, Yunzhe Zhang, Mingyang Yu, Changyi Lin, Chenhao Li, Yikai Wang, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Bingqing Chen, Jonathan Francis, Zhenzhen Li, Jie Tan, Ding Zhao

CoRR, June, 2025

LocoTouch: Learning Dexterous Quadrupedal Transport with Tactile Sensing.

Changyi Lin, Yuxin Ray Song, Boda Huo, Mingyang Yu, Yikai Wang, Shiqi Liu, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Yiyue Luo, Ding Zhao

CoRR, May, 2025

Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models.

Chen Wang, Fei Xia, Wenhao Yu, Tingnan Zhang, Ruohan Zhang, C. Karen Liu, Li Fei-Fei, Jie Tan, Jacky Liang

CoRR, April, 2025

Gemini Robotics: Bringing AI into the Physical World.

Gemini Robotics Team, Saminda Abeyruwan, Joshua Ainslie, Jean-Baptiste Alayrac, Montserrat Gonzalez Arenas, Travis Armstrong, Ashwin Balakrishna, Robert Baruch, Maria Bauzá, Michiel Blokzijl, Steven Bohez, Konstantinos Bousmalis, Anthony Brohan, Thomas Buschmann, Arunkumar Byravan, Serkan Cabi, Ken Caluwaerts, Federico Casarini, Oscar Chang, José Enrique Chen, Xi Chen, Hao-Tien Lewis Chiang, Krzysztof Choromanski, Davide D'Ambrosio, Sudeep Dasari, Todor Davchev, Coline Devin, Norman Di Palo, Tianli Ding, Adil Dostmohamed, Danny Driess, Yilun Du, Debidatta Dwibedi, Michael Elabd, Claudio Fantacci, Cody Fong, Erik Frey, Chuyuan Fu, Marissa Giustina, Keerthana Gopalakrishnan, Laura Graesser, Leonard Hasenclever, Nicolas Heess, Brandon Hernaez, Alexander Herzog, R. Alex Hofer, Jan Humplik, Atil Iscen, Mithun George Jacob, Deepali Jain, Ryan Julian, Dmitry Kalashnikov, M. Emre Karagozler, Stefani Karp, J. Chase Kew, Jerad Kirkland, Sean Kirmani, Yuheng Kuang, Thomas Lampe, Antoine Laurens, Isabel Leal, Alex X. Lee, Tsang-Wei Edward Lee, Jacky Liang, Yixin Lin, Sharath Maddineni, Anirudha Majumdar, Assaf Hurwitz Michaely, Robert Moreno, Michael Neunert, Francesco Nori, Carolina Parada, Emilio Parisotto, Peter Pastor, Acorn Pooley, Kanishka Rao, Krista Reymann, Dorsa Sadigh, Stefano Saliceti, Pannag Sanketi, Pierre Sermanet, Dhruv Shah, Mohit Sharma, Kathryn Shea, Charles Shu, Vikas Sindhwani, Sumeet Singh, Radu Soricut, Jost Tobias Springenberg, Rachel Sterneck, Razvan Surdulescu, Jie Tan, Jonathan Tompson, Vincent Vanhoucke, Jake Varley, Grace Vesom, Giulia Vezzani, Oriol Vinyals, Ayzaan Wahid, Stefan Welker

CoRR, March, 2025

QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment.

Yuyou Zhang, Yihang Yao, Shiqi Liu, Yaru Niu, Changyi Lin, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao

CoRR, March, 2025

A2Perf: Real-World Autonomous Agents Benchmark.

Ikechukwu Uchendu, Jason Jabbour, Korneel Van den Berghe, Joel Runevic, Matthew Stewart, Jeffrey Ma, Srivatsan Krishnan, Izzeddin Gur, Austin Huang, Colton Bishop, Paige Bailey, Wenjie Jiang, Ebrahim M. Songhori, Sergio Guadarrama, Jie Tan, Jordan K. Terry, Aleksandra Faust, Vijay Janapa Reddi

CoRR, March, 2025

2024

IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors Without Any Outdoor Experience.

Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu

IEEE Robotics Autom. Lett., May, 2024

Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning.

Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang

Mach. Learn., May, 2024

Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing.

Yuming Feng, Chuye Hong, Yaru Niu, Shiqi Liu, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao

CoRR, 2024

IPPON: Common Sense Guided Informative Path Planning for Object Goal Navigation.

Kaixian Qu, Jie Tan, Tingnan Zhang, Fei Xia, Cesar Dario Cadena Lerma, Marco Hutter

CoRR, 2024

Agile Continuous Jumping in Discontinuous Terrains.

Yuxiang Yang, Guanya Shi, Changyi Lin, Xiangyun Meng, Rosario Scalise, Mateo Guaman Castro, Wenhao Yu, Tingnan Zhang, Ding Zhao, Jie Tan, Byron Boots

CoRR, 2024

Gameplay Filters: Safe Robot Walking through Adversarial Imagination.

Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime F. Fisac

CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.

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

CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.

Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Maria Attarian, Maria Bauzá Villalonga, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan 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, Kenneth 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

Proceedings of the Robotics: Science and Systems XX, 2024

CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments.

Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor, Anuj Zore, Brian Ichter, Fei Xia, Jie Tan, Wenhao Yu, Dinesh Manocha

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators.

Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

The Design of the Barkour Benchmark for Robot Agility.

Wenhao Yu, Ken Caluwaerts, Atil Iscen, J. Chase Kew, Tingnan Zhang, Daniel Freeman, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Ofir Nachum, Ken Oslund, Francesco Romano, Fereshteh Sadeghi, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan, Kuang-Huei Lee

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

Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.

Zhuo Xu, Hao-Tien Lewis Chiang, Zipeng Fu, Mithun George Jacob, Tingnan Zhang, Tsang-Wei Edward Lee, Wenhao Yu, Connor Schenck, David Rendleman, Dhruv Shah, Fei Xia, Jasmine Hsu, Jonathan Hoech, Pete Florence, Sean Kirmani, Sumeet Singh, Vikas Sindhwani, Carolina Parada, Chelsea Finn, Peng Xu, Sergey Levine, Jie Tan

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination.

Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime Fernández Fisac

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

User preference optimization for control of ankle exoskeletons using sample efficient active learning.

Ung Hee Lee, Varun S. Shetty, Patrick W. Franks, Jie Tan, Georgios Evangelopoulos, Sehoon Ha, Elliott J. Rouse

Sci. Robotics, October, 2023

Creative Robot Tool Use with Large Language Models.

Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao

CoRR, 2023

Towards Inferring Users' Impressions of Robot Performance in Navigation Scenarios.

Qiping Zhang, Nathan Tsoi, Booyeon Choi, Jie Tan, Hao-Tien Lewis Chiang, Marynel Vázquez

CoRR, 2023

Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control.

Qiuhua Huang, Renke Huang, Tianzhixi Yin, Sohom Datta, Xueqing Sun, Z. Jason Hou, Jie Tan, Wenhao Yu, Yuan Liu, Xinya Li, Bruce Palmer, Ang Li, Xinda Ke, Marianna Vaiman, Song Wang, Yousu Chen

CoRR, 2023

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.

Joanne Taery Kim, Wenhao Yu, Yash Kothari, Jie Tan, Greg Turk, Sehoon Ha

CoRR, 2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning.

Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao

CoRR, 2023

Barkour: Benchmarking Animal-level Agility with Quadruped Robots.

Ken Caluwaerts, Atil Iscen, J. Chase Kew, Wenhao Yu, Tingnan Zhang, Daniel Freeman, Kuang-Huei Lee, Lisa Lee, Stefano Saliceti, Vincent Zhuang, Nathan Batchelor, Steven Bohez, Federico Casarini, José Enrique Chen, Omar Cortes, Erwin Coumans, Adil Dostmohamed, Gabriel Dulac-Arnold, Alejandro Escontrela, Erik Frey, Roland Hafner, Deepali Jain, Bauyrjan Jyenis, Yuheng Kuang, Tsang-Wei Edward Lee, Linda Luu, Ofir Nachum, Ken Oslund, Jason Powell, Diego Reyes, Francesco Romano, Fereshteh Sadeghi, Ron Sloat, Baruch Tabanpour, Daniel Zheng, Michael Neunert, Raia Hadsell, Nicolas Heess, Francesco Nori, Jeff Seto, Carolina Parada, Vikas Sindhwani, Vincent Vanhoucke, Jie Tan

CoRR, 2023

Learning and Adapting Agile Locomotion Skills by Transferring Experience.

Laura M. Smith, J. Chase Kew, Tianyu Li, Linda Luu, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Mnemosyne: Learning to Train Transformers with Transformers.

Deepali Jain, Krzysztof Marcin Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Continuous Versatile Jumping Using Learned Action Residuals.

Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

Proceedings of the Learning for Dynamics and Control Conference, 2023

On Designing a Learning Robot: Improving Morphology for Enhanced Task Performance and Learning.

Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu, Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari

IROS, 2023

Discovering Adaptable Symbolic Algorithms from Scratch.

Stephen Kelly, Daniel S. Park, Xingyou Song, Mitchell McIntire, Pranav Nashikkar, Ritam Guha, Wolfgang Banzhaf, Kalyanmoy Deb, Vishnu Naresh Boddeti, Jie Tan, Esteban Real

IROS, 2023

Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization.

Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On the Robustness of Safe Reinforcement Learning under Observational Perturbations.

Zuxin Liu, Zijian Guo, Zhepeng Cen, Huan Zhang, Jie Tan, Bo Li, Ding Zhao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling.

Joanne Taery Kim, Wenhao Yu, Jie Tan, Greg Turk, Sehoon Ha

Proceedings of the Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller.

Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

Proceedings of the Conference on Robot Learning, 2023

SayTap: Language to Quadrupedal Locomotion.

Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada

Proceedings of the Conference on Robot Learning, 2023

Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.

Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce N. Walker, Jie Tan, Greg Turk, Sehoon Ha

Proceedings of the Conference on Robot Learning, 2023

Language to Rewards for Robotic Skill Synthesis.

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

Proceedings of the Conference on Robot Learning, 2023

2022

Learning to Navigate Sidewalks in Outdoor Environments.

Maks Sorokin, Jie Tan, C. Karen Liu, Sehoon Ha

IEEE Robotics Autom. Lett., 2022

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning.

Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang

CoRR, 2022

Multi-objective evolution for Generalizable Policy Gradient Algorithms.

Juan Jose Garau Luis, Yingjie Miao, John D. Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust

CoRR, 2022

Safe Reinforcement Learning for Legged Locomotion.

Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu

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

PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations.

Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu

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

Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World.

Laura M. Smith, J. Chase Kew, Xue Bin Peng, Sehoon Ha, Jie Tan, Sergey Levine

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Learning Semantics-Aware Locomotion Skills from Human Demonstration.

Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots

Proceedings of the Conference on Robot Learning, 2022

Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation.

Xuesu Xiao, Tingnan Zhang, Krzysztof Marcin Choromanski, Tsang-Wei Edward Lee, Anthony G. Francis, Jake Varley, Stephen Tu, Sumeet Singh, Peng Xu, Fei Xia, Sven Mikael Persson, Dmitry Kalashnikov, Leila Takayama, Roy Frostig, Jie Tan, Carolina Parada, Vikas Sindhwani

Proceedings of the Conference on Robot Learning, 2022

2021

How to train your robot with deep reinforcement learning: lessons we have learned.

Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine

Int. J. Robotics Res., 2021

MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance.

Michael Luo, Ashwin Balakrishna, Brijen Thananjeyan, Suraj Nair, Julian Ibarz, Jie Tan, Chelsea Finn, Ion Stoica, Ken Goldberg

CoRR, 2021

Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery.

Yan Du, Qiuhua Huang, Renke Huang, Tianzhixi Yin, Jie Tan, Wenhao Yu, Xinya Li

CoRR, 2021

How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned.

Julian Ibarz, Jie Tan, Chelsea Finn, Mrinal Kalakrishnan, Peter Pastor, Sergey Levine

CoRR, 2021

Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning.

Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du

CoRR, 2021

Learning Agile Locomotion Skills with a Mentor.

Atil Iscen, George Yu, Alejandro Escontrela, Deepali Jain, Jie Tan, Ken Caluwaerts

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning.

Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Fast and Efficient Locomotion via Learned Gait Transitions.

Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Visual-Locomotion: Learning to Walk on Complex Terrains with Vision.

Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Adaptive Power System Emergency Control Using Deep Reinforcement Learning.

Qiuhua Huang, Renke Huang, Weituo Hao, Jie Tan, Rui Fan, Zhenyu Huang

IEEE Trans. Smart Grid, 2020

Learning Fast Adaptation With Meta Strategy Optimization.

Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha

IEEE Robotics Autom. Lett., 2020

Safe Reinforcement Learning for Emergency LoadShedding of Power Systems.

Thanh Long Vu, Sayak Mukherjee, Tim Yin, Renke Huang, Jie Tan, Qiuhua Huang

CoRR, 2020

Zero-Shot Terrain Generalization for Visual Locomotion Policies.

Alejandro Escontrela, George Yu, Peng Xu, Atil Iscen, Jie Tan

CoRR, 2020

Learning to be Safe: Deep RL with a Safety Critic.

Krishnan Srinivasan, Benjamin Eysenbach, Sehoon Ha, Jie Tan, Chelsea Finn

CoRR, 2020

Accelerated Deep Reinforcement Learning Based Load Shedding for Emergency Voltage Control.

Renke Huang, Yujiao Chen, Tianzhixi Yin, Xinya Li, Ang Li, Jie Tan, Qiuhua Huang

CoRR, 2020

Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation.

Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust

CoRR, 2020

Learning Agile Robotic Locomotion Skills by Imitating Animals.

Xue Bin Peng, Erwin Coumans, Tingnan Zhang, Tsang-Wei Edward Lee, Jie Tan, Sergey Levine

Proceedings of the Robotics: Science and Systems XVI, 2020

Learning Agile Locomotion via Adversarial Training.

Yujin Tang, Jie Tan, Tatsuya Harada

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning.

Xingyou Song, Yuxiang Yang, Krzysztof Choromanski, Ken Caluwaerts, Wenbo Gao, Chelsea Finn, Jie Tan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation.

Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha

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

Autonomous Control of a Tendon-driven Robotic Limb with Elastic Elements Reveals that Added Elasticity can Enhance Learning.

Ali Marjaninejad, Jie Tan, Francisco J. Valero Cuevas

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous.

Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust

Proceedings of the 4th Conference on Robot Learning, 2020

Learning to Walk in the Real World with Minimal Human Effort.

Sehoon Ha, Peng Xu, Zhenyu Tan, Sergey Levine, Jie Tan

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Adaptive Power System Emergency Control using Deep Reinforcement Learning.

Qiuhua Huang, Weituo Hao, Jie Tan, Rui Fan, Zhenyu Huang

CoRR, 2019

Learning to Walk Via Deep Reinforcement Learning.

Tuomas Haarnoja, Sehoon Ha, Aurick Zhou, Jie Tan, George Tucker, Sergey Levine

Proceedings of the Robotics: Science and Systems XV, 2019

Data Efficient Reinforcement Learning for Legged Robots.

Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Tingnan Zhang, Jie Tan, Vikas Sindhwani

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

NoRML: No-Reward Meta Learning.

Yuxiang Yang, Ken Caluwaerts, Atil Iscen, Jie Tan, Chelsea Finn

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Learning to dress: synthesizing human dressing motion via deep reinforcement learning.

Alexander Clegg, Wenhao Yu, Jie Tan, C. Karen Liu, Greg Turk

ACM Trans. Graph., 2018

Soft Actor-Critic Algorithms and Applications.

Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen, George Tucker, Sehoon Ha, Jie Tan, Vikash Kumar, Henry Zhu, Abhishek Gupta, Pieter Abbeel, Sergey Levine

CoRR, 2018

Sim-to-Real: Learning Agile Locomotion For Quadruped Robots.

Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, Vincent Vanhoucke

Proceedings of the Robotics: Science and Systems XIV, 2018

Optimizing Simulations with Noise-Tolerant Structured Exploration.

Krzysztof Choromanski, Atil Iscen, Vikas Sindhwani, Jie Tan, Erwin Coumans

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

Policies Modulating Trajectory Generators.

Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Learning Human Behaviors for Robot-Assisted Dressing.

Alexander Clegg, Wenhao Yu, Jie Tan, Charlie C. Kemp, Greg Turk, C. Karen Liu

CoRR, 2017

Preparing for the Unknown: Learning a Universal Policy with Online System Identification.

Wenhao Yu, Jie Tan, C. Karen Liu, Greg Turk

Proceedings of the Robotics: Science and Systems XIII, 2017

Learning to navigate cloth using haptics.

Alexander Clegg, Wenhao Yu, Zackory Erickson, Jie Tan, C. Karen Liu, Greg Turk

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Haptic simulation for robot-assisted dressing.

Wenhao Yu, Ariel Kapusta, Jie Tan, Charles C. Kemp, Greg Turk, C. Karen Liu

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Large-Scale Evolution of Image Classifiers.

Esteban Real, Sherry Moore, Andrew Selle, Saurabh Saxena, Yutaka I. Leon-Suematsu, Jie Tan, Quoc V. Le, Alexey Kurakin

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Locomotion synthesis in complex physically simulated environments.

Jie Tan

PhD thesis, 2016

Simulation-based design of dynamic controllers for humanoid balancing.

Jie Tan, Zhaoming Xie, Byron Boots, C. Karen Liu

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015

Animating human dressing.

Alexander Clegg, Jie Tan, Greg Turk, C. Karen Liu

ACM Trans. Graph., 2015

Computer Simulations Imply Forelimb-Dominated Underwater Flight in Plesiosaurs.

Shiqiu Liu, Adam S. Smith, Yuting Gu, Jie Tan, C. Karen Liu, Greg Turk

PLoS Comput. Biol., 2015

2014

Learning bicycle stunts.

Jie Tan, Yuting Gu, C. Karen Liu, Greg Turk

ACM Trans. Graph., 2014

2012

Soft body locomotion.

Jie Tan, Greg Turk, C. Karen Liu

ACM Trans. Graph., 2012

2011

Articulated swimming creatures.

Jie Tan, Yuting Gu, Greg Turk, C. Karen Liu

ACM Trans. Graph., 2011

Stable Proportional-Derivative Controllers.

Jie Tan, C. Karen Liu, Greg Turk

IEEE Computer Graphics and Applications, 2011