Journal Publications
[J13] Xiaoran Zha, Yonghao Gui, Yaosuo Xue, Hong Wang and Mengxue Hou, “Probability Density Function Based Control on Frequency of Grid Systems,” in IEEE Transactions on Control Systems Technology, under review.
[J12] Renke Wang, Mengxue Hou and Ningshi Yao, “Robust Co-Design of Scheduling and Control for Lighter-than-Air Agents with Heterogeneous Resources”, in International Journal of Robust and Nonlinear Control, under review.
[J11] Jiankuo Cui, Mengxue Hou, Zheng Peng, Ying Wang, Jun-Hong Cui, “Hamiltonian based AUV navigation using adaptive finite-time trajectory tracking control,” in Ocean Engineering, 320, 120329, 2025.
[J10] Yingke Li, Mengxue Hou, Enlu Zhou and Fumin Zhang, “Dynamic Event-triggered Integrated Task and Motion Planning for Process-aware Source Seeking,” in Autonomous Robots, 48, no. 8: 1-20, 2024.
[J9] Mengxue Hou, Enlu Zhou, Tony X. Lin and Fumin Zhang,“Mori-Zwanzig Approach for Belief Abstraction with Application to Belief Space Planning,” in Autonomous Robots, 49, no. 1: 1-23, 2025.
[J8] Zixiang Mao, Mengxue Hou and Zhongsheng Hou, “Model-free adaptive bipartite consensus control for unknown heterogeneous nonlinear MASs with different input delays,” in International Journal of Systems Science, 1-16, 2024.
[J7] Zunyao Yang, Mengxue Hou, Zhongsheng Hou and Shangtai Jin, “Disturbance Observer Dynamic Linearization-Based Model-Free Adaptive Control for Discrete-Time Nonlinear Systems,” in IEEE Transactions on Cybernetics, 1-14, 2024.
[J6] Xueming Zhang, Mengxue Hou and Zhongsheng Hou, “Data-Driven High-Order Point-to-Point ILC With Higher Computational Efficiency,” in IEEE Transactions on Automation Science and Engineering, pp. 1-16, 2024.
[J5] Meriam Ouerghi, Mengxue Hou and Fumin Zhang, “Laplacian Regularized Motion Tomography for Underwater Vehicle Flow Mapping with Sporadic Localization Measurements“, in Autonomous Robots, 48 (10), 2024.
[J4] Haoyan Zhai, Mengxue Hou, Fumin Zhang and Haomin Zhou “Method of Evolving Junction on Optimal Path Planning in Flows Fields“, in Autonomous Robots, 1-19, 2022.
[J3] Mengxue Hou, Sungjin Cho, Haomin Zhou, Catherine R. Edwards and Fumin Zhang, “Bounded Cost Path Planning for Underwater Vehicles Assisted by a Time-Invariant Partitioned Flow Field Model“, in Frontiers in Robotics and AI (8), 2021.
[J2] Mengxue Hou, Qiuyang Tao and Fumin Zhang, “Human Pointing Motion during Interaction with an Autonomous Blimp“, in Scientific Reports, 12, 11402, 2022.
[J1] Meriam Ouerghi, Sean Maxon, Mengxue Hou and Fumin Zhang, “Improved trajectory tracing of underwater vehicles for flow field mapping“, in International Journal of Intelligent Robotics and Applications, 1-17, 2021.
Conference Proceedings
[C24] Ruochu Yang, Yu Zhou and Mengxue Hou, “ Interleaved LLM and Motion Planning for Scalable Multi-Object Collection in Large Scene Graphs”, in 2026 IEEE International Conference on Robotics and Automation (ICRA), under review.
[C23] Zongyao Liu, Ruochu Yang and Mengxue Hou, “An Active Perception Strategy for Underwater Vehicle Navigation based on Belief Space Planning”, in 2025 OCEAN’S Great Lakes, Chicago, IL, 2025, pp. 1-6.
[C22] Yu Zhou and Mengxue Hou, “Uncertainty-aware 3D Gaussian Splatting (3DGS) Underwater Robotic Perception,” in 2025 OCEAN’S Great Lakes, Chicago, IL, 2025, pp. 1-6.
[C21] Likai Pei, Yu Zhou, Xingtian Wang, Xueji Zhao, Wanxin Huang, Boyang Cheng, Halid Mulaosmanovic, Stefan Duenkel, Dominik Kleimaier, Sven Beyer, Kai Ni, Mengxue Hou, Michael Niemier and Ningyuan Cao, “Towards Uncertaintyaware Robotic Perception via Mixed-signal BNN Engine Leveraging Probabilistic Quantum Tunneling”, in 2025 62nd ACM/IEEE Design Automation Conference, San Francisco, CA, pp. 1-7.
[C20] Yu Zhou, Ruochu Yang and Mengxue Hou, “Flow Field Estimation in Underwater Vehicle Navigation using Sporadic Image Observations”, in 22nd International Conference on Ubiquitous Robots, College Station, TX, USA, Jun. 2025, pp. 579-584.
[C19] Xiaoran Zha and Mengxue Hou, “A Mori–Zwanzig Formalism based Estimation Approach for Dynamic Obstacle Avoidance”, in 22nd International Conference on Ubiquitous Robots, College Station, TX, USA, Jun. 2025, pp. 464-469.
[C18] Ruoshi Liu, Huy Ha, Mengxue Hou, Shuran Song and Carl Vondrick,“Self-Improving Autonomous Underwater Manipulation”, in 2025 IEEE International Conference on Robotics and Automation (ICRA), Atlanta, GA, pp. 16915-16922.
[C17] Shaojun Ma, Mengxue Hou, Xiaojing Ye, Haomin Zhou, “High-dimensional Optimal Density Control with Wasserstein Metric Matching“, in 2023 Conference on Decision and Control (CDC),Singapore, Dec. 2023, pp. 6813-6818.
[C16] Ruochu Yang, Mengxue Hou, Chad Lembke, Catherine R. Edwards, Fumin Zhang, “Real-time Autonomous Glider Navigation Software“, in Proc. of MTS/IEEE OCEANS’ 23, Limerick, UK, Jun. 2023, in press.
[C15] Mengxue Hou, Yingke Li, Fumin Zhang, Shreyas Sundaram, Shaoshuai Mou, “An Interleaved Algorithm for Integration of Robotic Task and Motion Planning“, in 2023 American Control Conference (ACC), San Diego, CA, USA, Jun. 2023, pp. 539-544.
[C14] Yingke Li, Mengxue Hou, Enlu Zhou and Fumin Zhang, ”Dynamic Event-triggered Integrated Task and Motion Planning for Process-aware Source Seeking”, in 2023 American Control Conference (ACC), San Diego, CA, USA, Jun. 2023, pp. 527-532.
[C13] Ruochu Yang, Mengxue Hou, Chad Lembke, Catherine R. Edwards and Fumin Zhang, ”Anomaly Detection of Underwater Gliders Verified by Deployment Data“, in 2023 IEEE Underwater Technology (UT), Tokyo, Japan, Mar. 2023, pp. 1-10.
[C12] Mengxue Hou, Tony X. Lin, Haomin Zhou, Wei Zhang, Catherine R. Edwards and Fumin Zhang, ”Belief Space Partitioning for Symbolic Motion Planning, ” in 2021 IEEE International Conference on Robotics and Automation (ICRA), Xi’an, China, Jun. 2021, pp. 8245-8251.
[C11] Sravya Kondrakunta, Venkatsampath R. Gogineni, Michael Cox, Demetris Coleman, Xiabao Tan, Tony Lin, Mengxue Hou, Fumin Zhang, Frank McQuarrie, and Catherine R. Edwards, ”The Rational Selection of Goal Operations and the Integration of Search Strategies with Goal-driven Marine Autonomy,” in Proceedings of the Ninth Annual Conference on Advances in Cognitive Systems, 2021.
[C10] Qiuyang Tao, Mengxue Hou and Fumin Zhang, ”Modeling and Identification of Coupled Translational and Rotational Motion of Underactuated Indoor Miniature Autonomous Blimps,” in 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV), Dec. 2020, pp. 339-344.
[C9] Tony X. Lin, Mengxue Hou, Catherine R. Edwards, Michael Cox and Fumin Zhang, ”Bounded Cost HTN Planning for Marine Autonomy,” in Global Oceans 2020: Singapore – U.S. Gulf Coast, Oct. 2020, pp. 1-6.
[C8] Ziqiao Zhang, Mengxue Hou, Fumin Zhang, and Catherine R. Edwards, ”An LSTM based Kalman Filter for Spatio-temporal Ocean Currents Assimilation,” in Proc. of ACM International Conference on Underwater Networks and Systems, Atlanta, US, Oct. 2019, pp. 1-7.
[C7] Mengxue Hou, Haoyan Zhai, Haomin Zhou and Fumin Zhang, ”Partitioning Ocean Flow Field for Underwater Vehicle Path Planning,” in Proc. of MTS\IEEE OCEANS’ 19, Marseille, France, Jun. 2019, pp. 1-8. (best student paper/poster award)
[C6] Mengxue Hou, Qiuyang Tao, Paul Varnell and Fumin Zhang, ”Modeling Pointing Tasks in Human-Blimp Interactions,” in Proc. of the 3rd IEEE Conference on Control Technology and Applications (CCTA), Hong Kong, China, Aug. 2019, pp. 73-78.
[C5] Mengxue Hou, Shijie Liu, Fumin Zhang and Catherine R. Edwards, ”Path Tracking Error Analysis for Underwater Glider Navigation in a Spatially and Temporally Varying Flow Field”, in Proc. of MTS\IEEE OCEANS’ 18, Charleston, US, Oct. 2018, pp. 1-6.
[C4] Mengxue Hou, Shijie Liu, Fumin Zhang and Catherine R. Edwards, ”A Combined Path Planning and Path Following Method for Underwater Glider Navigation in a Strong, Dynamic Flow Field”, in Proc. of MTS\IEEE OCEANS’ 18, Kobe, Japan, May. 2018, pp. 1-8.
[C3] Qiuyang Tao, Jaeseok Cha, Mengxue Hou and Fumin Zhang, ”Parameter Identification of Blimp Dynamics through Swinging Motion”, in Proc. of International Conference on Control, Automation, Robotics and Vision (ICRAV), Singapore, Nov. 2018, pp. 1186-1191.
[C2] Mengxue Hou and Shangtai Jin, ”Simulation Comparison among Three Data-Driven Control Methods for the Planar Manipulator”, in Proc. of 10th Asian Control Conference (ASCC), Sabah, Malaysia, May. 2015, pp. 1-6.
[C1] Shangtai Jin and Mengxue Hou, ”An Improved Full-Form-Dynamic-Linearization based MFAC for a Class of Nonlinear Systems”, in Proc. of 34th Chinese Control Conference(CCC), Hangzhou, China, Jul. 2015, pp. 3045-3050.