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ORCIDYaru Niu
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2020 – today
- 2024
[j3]Haohong Lin
, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao:
Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. IEEE Robotics Autom. Lett. 9(5): 4639-4646 (2024)- [c9]Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao:
COMPOSER: Scalable and Robust Modular Policies for Snake Robots. ICRA 2024: 10800-10806 - [c8]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. IROS 2024: 6877-6884 - [i14]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) - [i13]Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu:
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR abs/2405.08816 (2024) - [i12]Yuming Feng, Chuye Hong, Yaru Niu, Shiqi Liu, Yuxiang Yang, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao:
Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing. CoRR abs/2411.07104 (2024) - 2023
- [c7]Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao:
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. AISTATS 2023: 2677-2703 - [c6]Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang:
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. IROS 2023: 1023-1030 - [i11]Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang:
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. CoRR abs/2303.05193 (2023) - [i10]Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - [i9]Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao:
COMPOSER: Scalable and Robust Modular Policies for Snake Robots. CoRR abs/2310.00871 (2023) - [i8]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) - [i7]Rohan R. Paleja, Letian Chen, Yaru Niu, Andrew Silva, Zhaoxin Li, Songan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric Tseng, Yan Wang, Subramanya Nageshrao, Matthew C. Gombolay:
Interpretable Reinforcement Learning for Robotics and Continuous Control. CoRR abs/2311.10041 (2023) - [i6]Haohong Lin, Wenhao Ding, Zuxin Liu, Yaru Niu, Jiacheng Zhu, Yuming Niu, Ding Zhao:
Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. CoRR abs/2311.10747 (2023) - 2022
- [c5]Lingfeng Sun, Chen Tang, Yaru Niu, Enna Sachdeva, Chiho Choi, Teruhisa Misu, Masayoshi Tomizuka, Wei Zhan:
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction. IROS 2022: 13034-13041 - [c4]Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay:
Learning Interpretable, High-Performing Policies for Autonomous Driving. Robotics: Science and Systems 2022 - [i5]Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay:
Learning Interpretable, High-Performing Policies for Continuous Control Problems. CoRR abs/2202.02352 (2022) - [i4]Lingfeng Sun, Chen Tang, Yaru Niu, Enna Sachdeva, Chiho Choi, Teruhisa Misu, Masayoshi Tomizuka, Wei Zhan:
Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction. CoRR abs/2203.15112 (2022) - [i3]Mengdi Xu, Peide Huang, Yaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry Lam, Bo Li, Ding Zhao:
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. CoRR abs/2210.12262 (2022) - 2021
- [c3]Yaru Niu, Rohan R. Paleja, Matthew C. Gombolay:
Multi-Agent Graph-Attention Communication and Teaming. AAMAS 2021: 964-973 - 2020
- [j2]Junyan Sun, Jianming Tang, Weiping Fu, Zhirui Chen, Yaru Niu:
Construction of a multi-echelon supply chain complex network evolution model and robustness analysis of cascading failure. Comput. Ind. Eng. 144: 106457 (2020) - [i2]Zhijun Zhang, Lingdong Kong, Yaru Niu, Ziang Liang:
Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots. CoRR abs/2008.06899 (2020) - [i1]Yaru Niu, Yijun Gu:
Active Hierarchical Imitation and Reinforcement Learning. CoRR abs/2012.07330 (2020)
2010 – 2019
- 2018
- [c2]Zhijun Zhang, Lingdong Kong, Yaru Niu:
A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms. ISNN 2018: 757-767 - [c1]Zhijun Zhang, Yaru Niu, Shangen Wu, Shuyang Lin, Lingdong Kong:
Analysis of Influencing Factors on Humanoid Robots' Emotion Expressions by Body Language. ISNN 2018: 775-785 - 2017
- [j1]Caiyan Deng, Yaru Niu, Baoming Gong, Yong Liu, Dongpo Wang:
Numerical assessment of fatigue design curve of welded T-joint improved by high-frequency mechanical impact (HFMI) treatment. Adv. Eng. Softw. 114: 154-162 (2017)
Coauthor Index
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