Numerical assessment of fatigue design curve of welded T-joint improved by high-frequency mechanical impact (HFMI) treatment. - Caiyan Deng; Yaru Niu; Baoming Gong; Yong Liu; Dongpo Wang (Adv. Eng. Softw., 2017)

A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms. - Zhijun Zhang 003; Lingdong Kong; Yaru Niu (ISNN, 2018)

Analysis of Influencing Factors on Humanoid Robots' Emotion Expressions by Body Language. - Zhijun Zhang 003; Yaru Niu; Shangen Wu; Shuyang Lin; Lingdong Kong (ISNN, 2018)

Construction of a multi-echelon supply chain complex network evolution model and robustness analysis of cascading failure. - Junyan Sun; Jianming Tang 004; Weiping Fu; Zhirui Chen; Yaru Niu (Comput. Ind. Eng., 2020)

Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots. - Zhijun Zhang 003; Lingdong Kong; Yaru Niu; Ziang Liang (CoRR, 2020)

Active Hierarchical Imitation and Reinforcement Learning. - Yaru Niu; Yijun Gu (CoRR, 2020)

Multi-Agent Graph-Attention Communication and Teaming. - Yaru Niu; Rohan R. Paleja; Matthew C. Gombolay (AAMAS, 2021)

Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction. - Lingfeng Sun; Chen Tang 001; Yaru Niu; Enna Sachdeva; Chiho Choi; Teruhisa Misu; Masayoshi Tomizuka; Wei Zhan (IROS, 2022)

Learning Interpretable, High-Performing Policies for Autonomous Driving. - Rohan R. Paleja; Yaru Niu; Andrew Silva; Chace Ritchie; Sugju Choi; Matthew C. Gombolay (Robotics: Science and Systems, 2022)

Learning Interpretable, High-Performing Policies for Continuous Control Problems. - Rohan R. Paleja; Yaru Niu; Andrew Silva; Chace Ritchie; Sugju Choi; Matthew C. Gombolay (CoRR, 2022)

Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables. - Mengdi Xu; Peide Huang; Yaru Niu; Visak Kumar; Jielin Qiu; Chao Fang; Kuan-Hui Lee; Xuewei Qi; Henry Lam; Bo Li 026; Ding Zhao (AISTATS, 2023)

GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning. - Yaru Niu; Shiyu Jin; Zeqing Zhang; Jiacheng Zhu; Ding Zhao; Liangjun Zhang (IROS, 2023)

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. - Lingdong Kong; Yaru Niu; Shaoyuan Xie; Hanjiang Hu; Lai Xing Ng; Benoit R. Cottereau; Ding Zhao; Liangjun Zhang; Hesheng Wang 001; Wei Tsang Ooi; Ruijie Zhu 002; Ziyang Song; et al. (CoRR, 2023)

Creative Robot Tool Use with Large Language Models. - Mengdi Xu; Peide Huang; Wenhao Yu 003; Shiqi Liu 005; Xilun Zhang; Yaru Niu; Tingnan Zhang; Fei Xia 002; Jie Tan 001; Ding Zhao (CoRR, 2023)

Interpretable Reinforcement Learning for Robotics and Continuous Control. - 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 075; Subramanya Nageshrao; et al. (CoRR, 2023)

Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving. - Haohong Lin; Wenhao Ding; Zuxin Liu; Yaru Niu; Jiacheng Zhu; Yuming Niu; Ding Zhao (CoRR, 2023)

COMPOSER: Scalable and Robust Modular Policies for Snake Robots. - Yuyou Zhang; Yaru Niu; Xingyu Liu 001; Ding Zhao (ICRA, 2024)

LocoMan: Advancing Versatile Quadrupedal Dexterity with Lightweight Loco-Manipulators. - Changyi Lin; Xingyu Liu 001; Yuxiang Yang 007; Yaru Niu; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Byron Boots; Ding Zhao (IROS, 2024)

The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. - 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 026; Ziwei Liu 002; et al. (CoRR, 2024)

Learning Multi-Agent Loco-Manipulation for Long-Horizon Quadrupedal Pushing. - Yuming Feng; Chuye Hong; Yaru Niu; Shiqi Liu 005; Yuxiang Yang 007; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Ding Zhao (CoRR, 2024)

Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving. - Haohong Lin; Wenhao Ding; Zuxin Liu; Yaru Niu; Jiacheng Zhu; Yuming Niu; Ding Zhao (IEEE Robotics Autom. Lett., 2024)

QuietPaw: Learning Quadrupedal Locomotion with Versatile Noise Preference Alignment. - Yuyou Zhang; Yihang Yao; Shiqi Liu; Yaru Niu; Changyi Lin; Yuxiang Yang; Wenhao Yu 003; Tingnan Zhang; Jie Tan 001; Ding Zhao (CoRR, 2025)

Human2LocoMan: Learning Versatile Quadrupedal Manipulation with Human Pretraining. - Yaru Niu; Yunzhe Zhang; Mingyang Yu; Changyi Lin; Chenhao Li; Yikai Wang; Yuxiang Yang 007; Wenhao Yu 003; Tingnan Zhang; Bingqing Chen; Jonathan Francis; Zhenzhen Li; et al. (CoRR, 2025)