Publications

2024

  1. CIMRL: Combining IMitiation and Reinforcement Learning for Safe Autonomous Driving
    Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, and 1 more author
    arXiv e-prints 2024
  2. Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation
    Youwei Yu, Junhong Xu, and Lantao Liu
    Conference on Robot Learning 2024
  3. Context-Generative Default Policy for Bounded Rational Agent
    Durgakant Pushp, Junhong Xu, Zheng Chen, and 1 more author
    International Conference on Intelligent Robots and Systems (IROS) 2024
  4. Boundary-aware value function generation for safe stochastic motion planning
    Junhong Xu, Kai Yin, Jason M Gregory, and 2 more authors
    The International Journal of Robotics Research 2024
  5. Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains
    Junhong Xu, Kai Yin, Zheng Chen, and 3 more authors
    The International Journal of Robotics Research 2024

2023

  1. Towards efficient MPPI trajectory generation with unscented guidance: U-MPPI control strategy
    Ihab S Mohamed, Junhong Xu, Gaurav Sukhatme, and 1 more author
    arXiv preprint arXiv:2306.12369 2023
  2. Coordination of Bounded Rational Drones through Informed Prior Policy
    Durgakant Pushp, Junhong Xu, and Lantao Liu
    International Conference on Intelligent Robots and Systems (IROS) 2023
  3. Causal Inference for De-biasing Motion Estimation from Robotic Observational Data
    Junhong Xu, Kai Yin, Jason Gregory, and 1 more author
    International Conference on Robotics and Automation 2023

2022

  1. Decision-Making Among Bounded Rational Agents
    Junhong Xu, Kai Yin, and Lantao Liu
    International Symposium on Distributed Autonomous Robotic Systems 2022

2021

  1. A data-efficient reinforcement learning method based on local Koopman operators
    Lixing Song, Junheng Wang, and Junhong Xu
    In 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) 2021

2020

  1. Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles
    Junhong Xu, Kai Yin, and Lantao Liu
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020
  2. Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
    Junhong Xu, Kai Yin, and Lantao Liu
    Robotics: Science and Systems 2020
  3. State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning
    Junhong Xu, Kai Yin, and Lantao Liu
    IEEE Robotics and Automation Letters 2020

2019

  1. Reachable Space Characterization of Markov Decision Processes with Time Variability
    Junhong Xu, Kai Yin, and Lantao Liu
    Robotics: Science and Systems 2019
  2. Automated Labeling for Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning on Big Data
    Junhong Xu, Shangyue Zhu, Hanqing Guo, and 1 more author
    IEEE Transactions on Big Data 2019

2018

  1. Shared multi-task imitation learning for indoor self-navigation
    Junhong Xu, Qiwei Liu, Hanging Guo, and 3 more authors
    In 2018 IEEE global communications conference (GLOBECOM) 2018
  2. Indoor Multi-Sensory Self-Supervised Autonomous Mobile Robotic Navigation
    Junhong Xu, Hanqing Guo, and Shaoen Wu
    In 2018 IEEE International Conference on Industrial Internet (ICII) 2018

2017

  1. Avoidance of Manual Labeling in Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning
    Junhong Xu, Shangyue Zhu, Hanqing Guo, and 1 more author
    arXiv preprint arXiv:1709.07911 2017