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. 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
3. 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