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ORCIDWenhao Yu 0003
Person information
- affiliation: Georgia Institute of Technology, School of Interactive Computing, Atlanta, GA, USA
- affiliation: Robotics at Google, Mountain View, CA, USA
Other persons with the same name
- Wenhao Yu — disambiguation page
- Wenhao Yu 0001
![[0000-0003-1521-2674]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1521-2674")
— China University of Geosciences, State Key Laboratory of Resources and Environmental Information System, Wuhan, China (and 1 more) - Wenhao Yu 0002 — University of Notre Dame, Department of Computer Science and Engineering, IN, USA
- Wenhao Yu 0004 — Shanghai Jiao Tong University, Shanghai Key Laboratory of Intelligent Sensing and Recognition, China
- Wenhao Yu 0005 — Dalian University of Technology, College of Computer Science and Technology, China
- Wenhao Yu 0006 — Tsinghua University, School of Vehicle and Mobility, Beijing, China
- Wenhao Yu 0007 — Shanghai Normal University, School of Education, China
- Wenhao Yu 0008 — Tsinghua University, Boulder, CO, USA (and 1 more)
- Wenhao Yu 0009 — Fudan University, Academy for Engineering and Technology, Shanghai, China
- Wenhao Yu 0010 — University of Science and Technology of China (USTC), Hefei, China
- Wenhao Yu 0011 — Tencent AI Lab
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2020 – today
- 2024
[j10]Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang:
Efficient learning of power grid voltage control strategies via model-based deep reinforcement learning. Mach. Learn. 113(5): 2675-2700 (2024)- [j9]Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu:
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors Without Any Outdoor Experience. IEEE Robotics Autom. Lett. 9(5): 4798-4805 (2024) - [c32]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:
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. ICLR 2024 - [c31]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 - [c30]Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao:
Gradient shaping for multi-constraint safe reinforcement learning. L4DC 2024: 25-39 - [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]Adarsh Jagan Sathyamoorthy, Kasun Weerakoon, Mohamed Elnoor, Anuj Zore, Brian Ichter, Fei Xia, Jie Tan, Wenhao Yu, Dinesh Manocha:
CoNVOI: Context-aware Navigation using Vision Language Models in Outdoor and Indoor Environments. CoRR abs/2403.15637 (2024) - [i45]Changyi Lin, Xingyu Liu, Yuxiang Yang, Yaru Niu, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots, Ding Zhao:
LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. CoRR abs/2403.18197 (2024) - [i44]Duy Phuong Nguyen, Kai-Chieh Hsu, Wenhao Yu, Jie Tan, Jaime F. Fisac:
Gameplay Filters: Safe Robot Walking through Adversarial Imagination. CoRR abs/2405.00846 (2024) - [i43]Sehoon Ha, Joonho Lee, Michiel van de Panne, Zhaoming Xie, Wenhao Yu, Majid Khadiv:
Learning-based legged locomotion; state of the art and future perspectives. CoRR abs/2406.01152 (2024) - [i42]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:
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs. CoRR abs/2407.07775 (2024) - [i41]Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao:
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning. CoRR abs/2407.14653 (2024) - [i40]Yuxiang Yang, Guanya Shi, Changyi Lin, Xiangyun Meng, Rosario Scalise, Mateo Guaman Castro, Wenhao Yu, Tingnan Zhang, Ding Zhao, Jie Tan, Byron Boots:
Agile Continuous Jumping in Discontinuous Terrains. CoRR abs/2409.10923 (2024) - 2023
- [c29]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 - [c28]Joanne Taery Kim, Wenhao Yu, Yash Kothari, Bruce Walker, Jie Tan, Greg Turk, Sehoon Ha:
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. CoRL 2023: 2288-2303 - [c27]Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. CoRL 2023: 2791-2806 - [c26]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRL 2023: 3556-3570 - [c25]Joanne Taery Kim, Wenhao Yu, Jie Tan, Greg Turk, Sehoon Ha:
How to Train Your Guide Dog: Wayfinding and Safe Navigation with Human-Robot Modeling. HRI (Companion) 2023: 221-225 - [c24]Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constrained Decision Transformer for Offline Safe Reinforcement Learning. ICML 2023: 21611-21630 - [c23]He Li, Tingnan Zhang, Wenhao Yu, Patrick M. Wensing:
Versatile Real-Time Motion Synthesis via Kino-Dynamic MPC With Hybrid-Systems DDP. ICRA 2023: 9988-9994 - [c22]Zixian Zang, Maxime Kawawa-Beaudan, Wenhao Yu, Tingnan Zhang, Avideh Zakhor:
Perceptive Hexapod Legged Locomotion for Climbing Joist Environments. IROS 2023: 2738-2745 - [c21]He Li, Wenhao Yu, Tingnan Zhang, Patrick M. Wensing:
A Unified Perspective on Multiple Shooting In Differential Dynamic Programming. IROS 2023: 9978-9985 - [c20]Chengxiang Zhao, Wenhao Yu, Xiaohan Ma, Yuzhuang Zhao, Boqi Li, Weida Wang, Jia Hu, Hong Wang, Ding Zhao:
Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance. ITSC 2023: 2376-2383 - [c19]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Continuous Versatile Jumping Using Learned Action Residuals. L4DC 2023: 770-782 - [c18]Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. NeurIPS 2023 - [i39]Zuxin Liu, Zijian Guo, Yihang Yao, Zhepeng Cen, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constrained Decision Transformer for Offline Safe Reinforcement Learning. CoRR abs/2302.07351 (2023) - [i38]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Continuous Versatile Jumping Using Learned Action Residuals. CoRR abs/2304.08663 (2023) - [i37]Joanne Truong, April Zitkovich, Sonia Chernova, Dhruv Batra, Tingnan Zhang, Jie Tan, Wenhao Yu:
IndoorSim-to-OutdoorReal: Learning to Navigate Outdoors without any Outdoor Experience. CoRR abs/2305.01098 (2023) - [i36]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:
Barkour: Benchmarking Animal-level Agility with Quadruped Robots. CoRR abs/2305.14654 (2023) - [i35]Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada:
SayTap: Language to Quadrupedal Locomotion. CoRR abs/2306.07580 (2023) - [i34]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) - [i33]Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao:
Datasets and Benchmarks for Offline Safe Reinforcement Learning. CoRR abs/2306.09303 (2023) - [i32]Yuxiang Yang, Guanya Shi, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller. CoRR abs/2306.09557 (2023) - [i31]Joanne Taery Kim, Wenhao Yu, Yash Kothari, Jie Tan, Greg Turk, Sehoon Ha:
Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism. CoRR abs/2306.14055 (2023) - [i30]He Li, Wenhao Yu, Tingnan Zhang, Patrick M. Wensing:
A Unified Perspective on Multiple Shooting In Differential Dynamic Programming. CoRR abs/2309.07872 (2023) - [i29]Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao:
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning. CoRR abs/2310.03718 (2023) - [i28]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:
Toward Intelligent Emergency Control for Large-scale Power Systems: Convergence of Learning, Physics, Computing and Control. CoRR abs/2310.05021 (2023) - [i27]Mengdi Xu, Peide Huang, Wenhao Yu, Shiqi Liu, Xilun Zhang, Yaru Niu, Tingnan Zhang, Fei Xia, Jie Tan, Ding Zhao:
Creative Robot Tool Use with Large Language Models. CoRR abs/2310.13065 (2023) - [i26]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:
RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches. CoRR abs/2311.01977 (2023) - [i25]Yihang Yao, Zuxin Liu, Zhepeng Cen, Peide Huang, Tingnan Zhang, Wenhao Yu, Ding Zhao:
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning. CoRR abs/2312.15127 (2023) - 2022
- [j8]Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters:
Robot Learning From Randomized Simulations: A Review. Frontiers Robotics AI 9: 799893 (2022) - [c17]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRL 2022: 2205-2214 - [c16]Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel:
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. IROS 2022: 25-32 - [c15]Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu:
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. IROS 2022: 1447-1454 - [c14]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. IROS 2022: 2454-2461 - [c13]He Li, Wenhao Yu, Tingnan Zhang, Patrick M. Wensing:
Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using Hybrid Kinodynamic Model Predictive Control. IROS 2022: 11971-11977 - [i24]Tsung-Yen Yang, Tingnan Zhang, Linda Luu, Sehoon Ha, Jie Tan, Wenhao Yu:
Safe Reinforcement Learning for Legged Locomotion. CoRR abs/2203.02638 (2022) - [i23]Alejandro Escontrela, Xue Bin Peng, Wenhao Yu, Tingnan Zhang, Atil Iscen, Ken Goldberg, Pieter Abbeel:
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions. CoRR abs/2203.15103 (2022) - [i22]Yuxiang Yang, Xiangyun Meng, Wenhao Yu, Tingnan Zhang, Jie Tan, Byron Boots:
Learning Semantics-Aware Locomotion Skills from Human Demonstration. CoRR abs/2206.13631 (2022) - [i21]Kuang-Huei Lee, Ofir Nachum, Tingnan Zhang, Sergio Guadarrama, Jie Tan, Wenhao Yu:
PI-ARS: Accelerating Evolution-Learned Visual-Locomotion with Predictive Information Representations. CoRR abs/2207.13224 (2022) - [i20]He Li, Tingnan Zhang, Wenhao Yu, Patrick M. Wensing:
Zero-Shot Retargeting of Learned Quadruped Locomotion Policies Using Hybrid Kinodynamic Model Predictive Control. CoRR abs/2209.14123 (2022) - [i19]He Li, Tingnan Zhang, Wenhao Yu, Patrick M. Wensing:
Versatile Real-Time Motion Synthesis via Kino-Dynamic MPC with Hybrid-Systems DDP. CoRR abs/2209.14138 (2022) - [i18]Ramij Raja Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, Yuan Liu, Qiuhua Huang:
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning. CoRR abs/2212.02715 (2022) - 2021
- [j7]Maks Sorokin, Wenhao Yu, Sehoon Ha, C. Karen Liu:
Learning Human Search Behavior from Egocentric Visual Inputs. Comput. Graph. Forum 40(2): 389-398 (2021) - [c12]Wenhao Yu, Deepali Jain, Alejandro Escontrela, Atil Iscen, Peng Xu, Erwin Coumans, Sehoon Ha, Jie Tan, Tingnan Zhang:
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision. CoRL 2021: 1291-1302 - [c11]Ioannis Exarchos, Yifeng Jiang, Wenhao Yu, C. Karen Liu:
Policy Transfer via Kinematic Domain Randomization and Adaptation. ICRA 2021: 45-51 - [c10]Wenhao Yu, C. Karen Liu, Greg Turk:
Protective Policy Transfer. ICRA 2021: 10595-10602 - [c9]Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho:
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing. IROS 2021: 176-182 - [i17]Renke Huang, Yujiao Chen, Tianzhixi Yin, Qiuhua Huang, Jie Tan, Wenhao Yu, Xinya Li, Ang Li, Yan Du:
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning. CoRR abs/2101.05317 (2021) - [i16]Yunbo Zhang, Wenhao Yu, C. Karen Liu, Charles C. Kemp, Greg Turk:
Learning to Manipulate Amorphous Materials. CoRR abs/2103.02533 (2021) - [i15]Fabio Muratore, Fabio Ramos, Greg Turk, Wenhao Yu, Michael Gienger, Jan Peters:
Robot Learning from Randomized Simulations: A Review. CoRR abs/2111.00956 (2021) - [i14]Yan Du, Qiuhua Huang, Renke Huang, Tianzhixi Yin, Jie Tan, Wenhao Yu, Xinya Li:
Physics-informed Evolutionary Strategy based Control for Mitigating Delayed Voltage Recovery. CoRR abs/2111.14352 (2021) - 2020
- [j6]Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha:
Learning Fast Adaptation With Meta Strategy Optimization. IEEE Robotics Autom. Lett. 5(2): 2950-2957 (2020) - [j5]Yunbo Zhang, Wenhao Yu, C. Karen Liu, Charlie C. Kemp, Greg Turk:
Learning to manipulate amorphous materials. ACM Trans. Graph. 39(6): 189:1-189:11 (2020) - [i13]Ioannis Exarchos, Yifeng Jiang, Wenhao Yu, C. Karen Liu:
Policy Transfer via Kinematic Domain Randomization and Adaptation. CoRR abs/2011.01891 (2020) - [i12]Maks Sorokin, Wenhao Yu, Sehoon Ha, C. Karen Liu:
Learning Human Search Behavior from Egocentric Visual Inputs. CoRR abs/2011.03618 (2020) - [i11]Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho:
COCOI: Contact-aware Online Context Inference for Generalizable Non-planar Pushing. CoRR abs/2011.11270 (2020) - [i10]Wenhao Yu, C. Karen Liu, Greg Turk:
Protective Policy Transfer. CoRR abs/2012.06662 (2020)
2010 – 2019
- 2019
- [j4]Ariel Kapusta, Zackory Erickson, Henry M. Clever, Wenhao Yu, C. Karen Liu, Greg Turk, Charles C. Kemp:
Personalized collaborative plans for robot-assisted dressing via optimization and simulation. Auton. Robots 43(8): 2183-2207 (2019) - [c8]Wenhao Yu, C. Karen Liu, Greg Turk:
Policy Transfer with Strategy Optimization. ICLR (Poster) 2019 - [c7]Yunbo Zhang, Wenhao Yu, Greg Turk:
Learning Novel Policies For Tasks. ICML 2019: 7483-7492 - [c6]Wenhao Yu, Visak C. V. Kumar, Greg Turk, C. Karen Liu:
Sim-to-Real Transfer for Biped Locomotion. IROS 2019: 3503-3510 - [i9]Wenhao Yu, Visak C. V. Kumar, Greg Turk, C. Karen Liu:
Sim-to-Real Transfer for Biped Locomotion. CoRR abs/1903.01390 (2019) - [i8]Yunbo Zhang, Wenhao Yu, Greg Turk:
Learning Novel Policies For Tasks. CoRR abs/1905.05252 (2019) - [i7]Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha:
Learning Fast Adaptation with Meta Strategy Optimization. CoRR abs/1909.12995 (2019) - 2018
- [j3]Wenhao Yu, Greg Turk, C. Karen Liu:
Learning symmetric and low-energy locomotion. ACM Trans. Graph. 37(4): 144 (2018) - [j2]Alexander Clegg, Wenhao Yu, Jie Tan, C. Karen Liu, Greg Turk:
Learning to dress: synthesizing human dressing motion via deep reinforcement learning. ACM Trans. Graph. 37(6): 179 (2018) - [i6]Wenhao Yu, Greg Turk, C. Karen Liu:
Learning Symmetry and Low-energy Locomotion. CoRR abs/1801.08093 (2018) - [i5]Wenhao Yu, C. Karen Liu, Greg Turk:
Policy Transfer with Strategy Optimization. CoRR abs/1810.05751 (2018) - 2017
- [c5]Wenhao Yu, Ariel Kapusta, Jie Tan, Charles C. Kemp, Greg Turk, C. Karen Liu:
Haptic simulation for robot-assisted dressing. ICRA 2017: 6044-6051 - [c4]Zackory Erickson, Alexander Clegg, Wenhao Yu, Greg Turk, C. Karen Liu, Charles C. Kemp:
What does the person feel? Learning to infer applied forces during robot-assisted dressing. ICRA 2017: 6058-6065 - [c3]Alexander Clegg, Wenhao Yu, Zackory Erickson, Jie Tan, C. Karen Liu, Greg Turk:
Learning to navigate cloth using haptics. IROS 2017: 2799-2805 - [c2]Wenhao Yu, Jie Tan, C. Karen Liu, Greg Turk:
Preparing for the Unknown: Learning a Universal Policy with Online System Identification. Robotics: Science and Systems 2017 - [i4]Wenhao Yu, C. Karen Liu, Greg Turk:
Preparing for the Unknown: Learning a Universal Policy with Online System Identification. CoRR abs/1702.02453 (2017) - [i3]Alexander Clegg, Wenhao Yu, Zackory Erickson, C. Karen Liu, Greg Turk:
Learning to Navigate Cloth using Haptics. CoRR abs/1703.06905 (2017) - [i2]Alexander Clegg, Wenhao Yu, Jie Tan, Charlie C. Kemp, Greg Turk, C. Karen Liu:
Learning Human Behaviors for Robot-Assisted Dressing. CoRR abs/1709.07033 (2017) - [i1]Wenhao Yu, Greg Turk, C. Karen Liu:
Multi-task Learning with Gradient Guided Policy Specialization. CoRR abs/1709.07979 (2017) - 2016
- [j1]Yunfei Bai, Wenhao Yu, C. Karen Liu:
Dexterous Manipulation of Cloth. Comput. Graph. Forum 35(2): 523-532 (2016) - [c1]Ariel Kapusta, Wenhao Yu, Tapomayukh Bhattacharjee, C. Karen Liu, Greg Turk, Charles C. Kemp:
Data-driven haptic perception for robot-assisted dressing. RO-MAN 2016: 451-458
Coauthor Index
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