Publications

Notation * indicates co-first authors.

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
    arXiv preprint arXiv:2203.15112, 2022
    PDF
  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
    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

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)
    PDF Code Talk
  2. MAGIC: Multi-agent graph-attention communication
    Yaru Niu*, Rohan Paleja*, and Matthew Gombolay
    In Multi-Agent Interaction and Relational Reasoning (MAIR2) workshop, ICCV, 2021 (Best Paper Award)
    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 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