Notation * indicates equal contributions.


  1. COMPOSER: Scalable and Robust Modular Policies for Snake Robots
    Yuyou ZhangYaru NiuXingyu LiuDing Zhao
    In International Conference on Robotics and Automation (ICRA), 2024
    Abridged in CoRL 2023 Workshop on Learning for Soft Robots: Hard Challenges for Soft Systems (Spotlight)
  2. Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving
    Haohong LinWenhao DingZuxin LiuYaru NiuJiacheng Zhu, Yuming Niu, Ding Zhao
    Robotics and Automation Letters (RA-L), 2024
    Abridged in Machine Learning for Autonomous Driving Symposium


  1. GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning
    In International Conference on Intelligent Robots and Systems (IROS), 2023
    Abridged in ICRA 2023 Workshop on Representing and Manipulating Deformable Objects [PDF] [Spotlight Talk]
  2. Interpretable Reinforcement Learning for Robotics and Continuous Control
    Rohan Paleja*Letian Chen*Yaru Niu*Andrew SilvaZhaoxin LiSongan Zhang, Chace Ritchie, Sugju Choi, Kimberlee Chestnut Chang, Hongtei Eric TsengYan Wang, Subramanya Nageshrao, Matthew Gombolay
    arXiv preprint, 2023
  3. The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
    Lingdong KongYaru NiuShaoyuan XieHanjiang Hu, et al.
    arXiv preprint, 2023
  4. Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables
    Mengdi XuPeide HuangYaru Niu, Visak Kumar, Jielin Qiu, Chao Fang, Kuan-Hui Lee, Xuewei Qi, Henry LamBo LiDing Zhao
    In International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
    In 5th Symposium on Advances in Approximate Bayesian Inference


  1. 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 TomizukaWei Zhan
    In International Conference on Intelligent Robots and Systems (IROS), 2022
  2. Adaptable and Scalable Multi-Agent Graph-Attention Communication
    Yaru Niu
    Committee:  Matthew Gombolay Ayanna Howard Sonia Chernova
    Master’s Thesis, Georgia Institute of Technology, 2022
  3. Learning Interpretable, High-Performing Policies for Autonomous Driving
    Rohan Paleja*Yaru Niu*Andrew Silva, Chace Ritchie, Sugju Choi, Matthew Gombolay
    In Robotics: Science and Systems (RSS), 2022


  1. Multi-Agent Graph-Attention Communication and Teaming
    In International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021 (Oral)
    Best Paper Award at ICCV 2021 Mair2 Workshop [PDF] [Spotlight Talk]


  1. Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots
    Zhijun ZhangLingdong KongYaru Niu, Ziang Liang
    arXiv preprint, 2020


  1. Real-Time Whole-Body Imitation by Humanoid Robots and Task-Oriented Teleoperation using an Analytical Mapping Method and Quantitative Evaluation
    Zhijun Zhang*Yaru Niu*, Ziyi Yan, Shuyang Lin
    Applied Sciences, 2018
  2. Analysis of Influencing Factors on Humanoid Robots’ Emotion Expressions by Body Language
    Zhijun ZhangYaru Niu, Shangen Wu, Shuyang Lin, Lingdong Kong
    In International Symposium on Neural Networks, 2018
  3. A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms
    In International Symposium on Neural Networks 2018