Publications

Notation * indicates equal contributions.

2023

  1. GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning
    Yaru Niu, Shiyu Jin*, Zeqing Zhang*, Jiacheng Zhu, Ding Zhao, and Liangjun Zhang
    In submission, 2023
    Abridged in ICRA 2023 Workshop on Representing and Manipulating Deformable Objects [PDF]
    PDF Webpage Talk Video
  2. 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, and Ding Zhao
    In International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
    PDF Webpage

2022

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

2021

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

2020

  1. Modification of Gesture-Determined-Dynamic Function with Consideration of Margins for Motion Planning of Humanoid Robots
    Zhijun Zhang, Lingdong Kong,  Yaru Niu, and Ziang Liang
    arXiv preprint arXiv:2008.06899, 2020
    PDF

2018

  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, and Shuyang Lin
    Applied Sciences, 2018
    HTML PDF Code Video
  2. Analysis of Influencing Factors on Humanoid Robots’ Emotion Expressions by Body Language
    Zhijun Zhang,  Yaru Niu, Shangen Wu, Shuyang Lin, and Lingdong Kong
    In International Symposium on Neural Networks, 2018
    HTML PDF
  3. A Time-Varying-Constrained Motion Generation Scheme for Humanoid Robot Arms
    Zhijun Zhang, Lingdong Kong, and Yaru Niu
    In International Symposium on Neural Networks 2018
    HTML PDF