Wenhao Yu

114 papers A* 14A 14B 1Misc 8Journal 69Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
Agile Continuous Jumping in Discontinuous Terrains.
ICRA
Yuxiang Yang, Guanya Shi, Changyi Lin, Xiangyun Meng, Rosario Scalise, Mateo Guaman Castro, Wenhao Yu, Tingnan Zhang, Ding Zhao, Jie Tan, Byron Boots
2025 J jnl
Autonomous Mario Kart in the Wild: Lessons Learned From the Earth Rover Challenge at IROS 2024 [Competitions].
IEEE Robotics Autom. Mag.
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
2025 A* conf
Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models.
ICRA
Chen Wang, Fei Xia, Wenhao Yu, Tingnan Zhang, Ruohan Zhang, C. Karen Liu, Li Fei-Fei, Jie Tan, Jacky Liang
2025 J jnl
Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models.
CoRR
Chen Wang, Fei Xia, Wenhao Yu, Tingnan Zhang, Ruohan Zhang, C. Karen Liu, Li Fei-Fei, Jie Tan, Jacky Liang
2025 J jnl
Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining.
CoRR
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
2025 J jnl
Humanoid Locomotion and Manipulation: Current Progress and Challenges in Control, Planning, and Learning.
CoRR
Zhaoyuan Gu, Junheng Li, Wenlan Shen, Wenhao Yu, Zhaoming Xie, Stephen McCrory, Xianyi Cheng, Abdulaziz Shamsah, Robert J. Griffin, C. Karen Liu, Abderrahmane Kheddar, Xue Bin Peng, Yuke Zhu, Guanya Shi, Quan Nguyen, Gordon Cheng, Huijun Gao, Ye Zhao
2025 J jnl
Learning-based legged locomotion: State of the art and future perspectives.
Int. J. Robotics Res.
Sehoon Ha, Joonho Lee, Michiel van de Panne, Zhaoming Xie, Wenhao Yu, Majid Khadiv
2025 J jnl
LocoTouch: Learning Dexterous Quadrupedal Transport with Tactile Sensing.
CoRR
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
2025 A conf
QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment.
IROS
Yuyou Zhang, Yihang Yao, Shiqi Liu, Yaru Niu, Changyi Lin, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2025 J jnl
QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment.
CoRR
Yuyou Zhang, Yihang Yao, Shiqi Liu, Yaru Niu, Changyi Lin, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2025 A* conf
Vision Language Models are In-Context Value Learners.
ICLR
Yecheng Jason Ma, Joey Hejna, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia
2024 J jnl
Agile Continuous Jumping in Discontinuous Terrains.
CoRR
Yuxiang Yang, Guanya Shi, Changyi Lin, Xiangyun Meng, Rosario Scalise, Mateo Guaman Castro, Wenhao Yu, Tingnan Zhang, Ding Zhao, Jie Tan, Byron Boots
2024 A conf
CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments.
IROS
Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor, Anuj Zore, Brian Ichter, Fei Xia, Jie Tan, Wenhao Yu, Dinesh Manocha
2024 J jnl
CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments.
CoRR
Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor, Anuj Zore, Brian Ichter, Fei Xia, Jie Tan, Wenhao Yu, Dinesh Manocha
2024 J jnl
Datasets and Benchmarks for Offline Safe Reinforcement Learning.
J. Data-centric Mach. Learn. Res.
Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2024 J jnl
Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning.
Mach. Learn.
Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang
2024 Misc conf
Gameplay Filters: Robust Zero-Shot Safety through Adversarial Imagination.
CoRL
Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime Fernández Fisac
2024 J jnl
Gameplay Filters: Safe Robot Walking through Adversarial Imagination.
CoRR
Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime F. Fisac
2024 — conf
Gradient shaping for multi-constraint safe reinforcement learning.
L4DC
Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
2024 J jnl
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors Without Any Outdoor Experience.
IEEE Robotics Autom. Lett.
Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu
2024 J jnl
Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing.
CoRR
Yuming Feng, Chuye Hong, Yaru Niu, Shiqi Liu, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2024 — conf
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
Robotics: Science and Systems
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
2024 J jnl
Learning to Learn Faster from Human Feedback with Language Model Predictive Control.
CoRR
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
2024 J jnl
Learning-based legged locomotion; state of the art and future perspectives.
CoRR
Sehoon Ha, Joonho Lee, Michiel van de Panne, Zhaoming Xie, Wenhao Yu, Majid Khadiv
2024 A conf
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators.
IROS
Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao
2024 J jnl
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators.
CoRR
Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao
2024 Misc conf
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.
CoRL
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
2024 J jnl
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.
CoRR
Hao-Tien Lewis Chiang, Zhuo Xu, 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
2024 A* conf
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning.
NeurIPS
Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
2024 J jnl
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning.
CoRR
Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
2024 A* conf
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.
ICML
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
2024 J jnl
PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs.
CoRR
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
2024 A* conf
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.
ICLR
Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao
2024 A conf
The Design of the Barkour Benchmark for Robot Agility.
IROS
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
2024 A conf
Versatile Locomotion Skills for Hexapod Robots.
IROS
Tomson Qu, Dichen Li, Avideh Zakhor, Wenhao Yu, Tingnan Zhang
2024 J jnl
Versatile Locomotion Skills for Hexapod Robots.
CoRR
Tomson Qu, Dichen Li, Avideh Zakhor, Wenhao Yu, Tingnan Zhang
2024 J jnl
Vision Language Models are In-Context Value Learners.
CoRR
Yecheng Jason Ma, Joey Hejna, Ayzaan Wahid, Chuyuan Fu, Dhruv Shah, Jacky Liang, Zhuo Xu, Sean Kirmani, Peng Xu, Danny Driess, Ted Xiao, Jonathan Tompson, Osbert Bastani, Dinesh Jayaraman, Wenhao Yu, Tingnan Zhang, Dorsa Sadigh, Fei Xia
2023 A conf
A Unified Perspective on Multiple Shooting In Differential Dynamic Programming.
IROS
He Li, Wenhao Yu, Tingnan Zhang, Patrick M. Wensing
2023 J jnl
A Unified Perspective on Multiple Shooting In Differential Dynamic Programming.
CoRR
He Li, Wenhao Yu, Tingnan Zhang, Patrick M. Wensing
2023 J jnl
Barkour: Benchmarking Animal-level Agility with Quadruped Robots.
CoRR
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
2023 Misc conf
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller.
CoRL
Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots
2023 J jnl
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller.
CoRR
Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots
2023 A* conf
Constrained Decision Transformer for Offline Safe Reinforcement Learning.
ICML
Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023 J jnl
Constrained Decision Transformer for Offline Safe Reinforcement Learning.
CoRR
Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023 A* conf
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.
NeurIPS
Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023 J jnl
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.
CoRR
Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
2023 — conf
Continuous Versatile Jumping Using Learned Action Residuals.
L4DC
Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots
2023 J jnl
Continuous Versatile Jumping Using Learned Action Residuals.
CoRR
Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots
2023 J jnl
Creative Robot Tool Use with Large Language Models.
CoRR
Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao
2023 J jnl
Datasets and Benchmarks for Offline Safe Reinforcement Learning.
CoRR
Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
2023 — conf
Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance.
ITSC
Chengxiang Zhao, Wenhao Yu, Xiaohan Ma, Yuzhuang Zhao, Boqi Li, Weida Wang, Jia Hu, Hong Wang, Ding Zhao
2023 J jnl
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning.
CoRR
Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao
2023 — conf
How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling.
HRI (Companion)
Joanne Taery Kim, Wenhao Yu, Jie Tan, Greg Turk, Sehoon Ha
2023 J jnl
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any Outdoor Experience.
CoRR
Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu
2023 Misc conf
Language to Rewards for Robotic Skill Synthesis.
CoRL
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
2023 J jnl
Language to Rewards for Robotic Skill Synthesis.
CoRR
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
2023 A conf
Perceptive Hexapod Legged Locomotion for Climbing Joist Environments.
IROS
Zixian Zang, Maxime Kawawa-Beaudan, Wenhao Yu, Tingnan Zhang, Avideh Zakhor
2023 J jnl
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches.
CoRR
Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao
2023 Misc conf
SayTap: Language to Quadrupedal Locomotion.
CoRL
Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada
2023 J jnl
SayTap: Language to Quadrupedal Locomotion.
CoRR
Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada
2023 J jnl
Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control.
CoRR
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
2023 Misc conf
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.
CoRL
Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce N. Walker, Jie Tan, Greg Turk, Sehoon Ha
2023 J jnl
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism.
CoRR
Joanne Taery Kim, Wenhao Yu, Yash Kothari, Jie Tan, Greg Turk, Sehoon Ha
2023 A* conf
Versatile Real-Time Motion Synthesis via Kino-Dynamic MPC With Hybrid-Systems DDP.
ICRA
He Li, Tingnan Zhang, Wenhao Yu, Patrick M. Wensing
2022 A conf
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions.
IROS
Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel
2022 J jnl
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions.
CoRR
Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel
2022 J jnl
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning.
CoRR
Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang
2022 Misc conf
Learning Semantics-Aware Locomotion Skills from Human Demonstration.
CoRL
Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots
2022 J jnl
Learning Semantics-Aware Locomotion Skills from Human Demonstration.
CoRR
Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots
2022 A conf
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations.
IROS
Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu
2022 J jnl
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations.
CoRR
Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu
2022 J jnl
Robot Learning From Randomized Simulations: A Review.
Frontiers Robotics AI
Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
2022 A conf
Safe Reinforcement Learning for Legged Locomotion.
IROS
Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu
2022 J jnl
Safe Reinforcement Learning for Legged Locomotion.
CoRR
Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu
2022 J jnl
Versatile Real-Time Motion Synthesis via Kino-Dynamic MPC with Hybrid-Systems DDP.
CoRR
He Li, Tingnan Zhang, Wenhao Yu, Patrick M. Wensing
2022 A conf
Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using Hybrid Kinodynamic Model Predictive Control.
IROS
He Li, Wenhao Yu, Tingnan Zhang, Patrick M. Wensing
2022 J jnl
Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using Hybrid Kinodynamic Model Predictive Control.
CoRR
He Li, Tingnan Zhang, Wenhao Yu, Patrick M. Wensing
2021 A conf
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing.
IROS
Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho
2021 J jnl
Learning Human Search Behavior from Egocentric Visual Inputs.
Comput. Graph. Forum
Maks Sorokin, Wenhao Yu, Sehoon Ha, C. Karen Liu
2021 J jnl
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning.
CoRR
Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du
2021 J jnl
Learning to Manipulate Amorphous Materials.
CoRR
Yunbo Zhang, Wenhao Yu, C. Karen Liu, Charles C. Kemp, Greg Turk
2021 J jnl
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery.
CoRR
Yan Du, Qiuhua Huang, Renke Huang, Tianzhixi Yin, Jie Tan, Wenhao Yu, Xinya Li
2021 A* conf
Policy Transfer via Kinematic Domain Randomization and Adaptation.
ICRA
Ioannis Exarchos, Yifeng Jiang, Wenhao Yu, C. Karen Liu
2021 A* conf
Protective Policy Transfer.
ICRA
Wenhao Yu, C. Karen Liu, Greg Turk
2021 J jnl
Robot Learning from Randomized Simulations: A Review.
CoRR
Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters
2021 Misc conf
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision.
CoRL
Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang
2020 J jnl
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing.
CoRR
Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho
2020 J jnl
Learning Fast Adaptation With Meta Strategy Optimization.
IEEE Robotics Autom. Lett.
Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha
2020 J jnl
Learning Human Search Behavior from Egocentric Visual Inputs.
CoRR
Maks Sorokin, Wenhao Yu, Sehoon Ha, C. Karen Liu
2020 J jnl
Learning to manipulate amorphous materials.
ACM Trans. Graph.
Yunbo Zhang, Wenhao Yu, C. Karen Liu, Charlie C. Kemp, Greg Turk
2020 — —
Learning to walk using deep reinforcement learning and transfer learning.
Wenhao Yu
2020 J jnl
Policy Transfer via Kinematic Domain Randomization and Adaptation.
CoRR
Ioannis Exarchos, Yifeng Jiang, Wenhao Yu, C. Karen Liu
2020 J jnl
Protective Policy Transfer.
CoRR
Wenhao Yu, C. Karen Liu, Greg Turk
2019 J jnl
Learning Fast Adaptation with Meta Strategy Optimization.
CoRR
Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha
2019 A* conf
Learning Novel Policies For Tasks.
ICML
Yunbo Zhang, Wenhao Yu, Greg Turk
2019 J jnl
Learning Novel Policies For Tasks.
CoRR
Yunbo Zhang, Wenhao Yu, Greg Turk
2019 J jnl
Personalized collaborative plans for robot-assisted dressing via optimization and simulation.
Auton. Robots
Ariel Kapusta, Zackory Erickson, Henry M. Clever, Wenhao Yu, C. Karen Liu, Greg Turk, Charles C. Kemp
2019 — conf
Policy Transfer with Strategy Optimization.
ICLR (Poster)
Wenhao Yu, C. Karen Liu, Greg Turk
2019 A conf
Sim-to-Real Transfer for Biped Locomotion.
IROS
Wenhao Yu, Visak C. V. Kumar, Greg Turk, C. Karen Liu
2019 J jnl
Sim-to-Real Transfer for Biped Locomotion.
CoRR
Wenhao Yu, Visak C. V. Kumar, Greg Turk, C. Karen Liu
2018 J jnl
Learning Symmetry and Low-energy Locomotion.
CoRR
Wenhao Yu, Greg Turk, C. Karen Liu
2018 J jnl
Learning symmetric and low-energy locomotion.
ACM Trans. Graph.
Wenhao Yu, Greg Turk, C. Karen Liu
2018 J jnl
Learning to dress: synthesizing human dressing motion via deep reinforcement learning.
ACM Trans. Graph.
Alexander Clegg, Wenhao Yu, Jie Tan, C. Karen Liu, Greg Turk
2018 J jnl
Policy Transfer with Strategy Optimization.
CoRR
Wenhao Yu, C. Karen Liu, Greg Turk
2017 A* conf
Haptic simulation for robot-assisted dressing.
ICRA
Wenhao Yu, Ariel Kapusta, Jie Tan, Charles C. Kemp, Greg Turk, C. Karen Liu
2017 J jnl
Learning Human Behaviors for Robot-Assisted Dressing.
CoRR
Alexander Clegg, Wenhao Yu, Jie Tan, Charlie C. Kemp, Greg Turk, C. Karen Liu
2017 J jnl
Learning to Navigate Cloth using Haptics.
CoRR
Alexander Clegg, Wenhao Yu, Zackory Erickson, C. Karen Liu, Greg Turk
2017 A conf
Learning to navigate cloth using haptics.
IROS
Alexander Clegg, Wenhao Yu, Zackory Erickson, Jie Tan, C. Karen Liu, Greg Turk
2017 J jnl
Multi-task Learning with Gradient Guided Policy Specialization.
CoRR
Wenhao Yu, Greg Turk, C. Karen Liu
2017 — conf
Preparing for the Unknown: Learning a Universal Policy with Online System Identification.
Robotics: Science and Systems
Wenhao Yu, Jie Tan, C. Karen Liu, Greg Turk
2017 J jnl
Preparing for the Unknown: Learning a Universal Policy with Online System Identification.
CoRR
Wenhao Yu, C. Karen Liu, Greg Turk
2017 A* conf
What does the person feel? Learning to infer applied forces during robot-assisted dressing.
ICRA
Zackory Erickson, Alexander Clegg, Wenhao Yu, Greg Turk, C. Karen Liu, Charles C. Kemp
2016 B conf
Data-driven haptic perception for robot-assisted dressing.
RO-MAN
Ariel Kapusta, Wenhao Yu, Tapomayukh Bhattacharjee, C. Karen Liu, Greg Turk, Charles C. Kemp
2016 J jnl
Dexterous Manipulation of Cloth.
Comput. Graph. Forum
Yunfei Bai, Wenhao Yu, C. Karen Liu