Yaru Niu

According to our database, Yaru Niu authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

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

CoRR, 2024

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

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, Subramanya Nageshrao, Matthew C. Gombolay

CoRR, 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

COMPOSER: Scalable and Robust Modular Policies for Snake Robots.

Yuyou Zhang, Yaru Niu, Xingyu Liu, Ding Zhao

CoRR, 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, 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

CoRR, 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

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, Ding Zhao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

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

Learning Interpretable, High-Performing Policies for Autonomous Driving.

Rohan R. Paleja, Yaru Niu, Andrew Silva, Chace Ritchie, Sugju Choi, Matthew C. Gombolay

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Domain Knowledge Driven Pseudo Labels for Interpretable Goal-Conditioned Interactive Trajectory Prediction.

Lingfeng Sun, Chen Tang, Yaru Niu, Enna Sachdeva, Chiho Choi, Teruhisa Misu, Masayoshi Tomizuka, Wei Zhan

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

2021

Multi-Agent Graph-Attention Communication and Teaming.

Yaru Niu, Rohan R. Paleja, Matthew C. Gombolay

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Active Hierarchical Imitation and Reinforcement Learning.

Yaru Niu, Yijun Gu

CoRR, 2020

Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots.

Zhijun Zhang, Lingdong Kong, Yaru Niu, Ziang Liang

CoRR, 2020

Construction of a multi-echelon supply chain complex network evolution model and robustness analysis of cascading failure.

Junyan Sun, Jianming Tang, Weiping Fu, Zhirui Chen, Yaru Niu

Comput. Ind. Eng., 2020

2018

Analysis of Influencing Factors on Humanoid Robots' Emotion Expressions by Body Language.

Zhijun Zhang, Yaru Niu, Shangen Wu, Shuyang Lin, Lingdong Kong

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms.

Zhijun Zhang, Lingdong Kong, Yaru Niu

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2017

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