JOURNAL & CONFERENCE PUBLICATIONS

2024 and Preprints

  1. "Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy."
    Ihab S Mohamed, Junhong Xu, Gaurav Sukhatme, Lantao Liu.
    https://arxiv.org/abs/2306.12369

  2. "SePaint: Semantic Map Inpainting via Multinomial Diffusion."
    Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu.
    https://arxiv.org/abs/2303.02737

  3. "PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields"
    Zheng Chen, Qingan Yan, Huangying Zhan, Changjiang Cai, Xiangyu Xu, Yuzhong Huang, Weihan Wang, Ziyue Feng, Lantao Liu, Yi Xu
    https://arxiv.org/abs/2401.00871

  4. "Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning."
    Junhong Xu, Kai Yin, Jason M. Gregory, Kris Hauser, Lantao Liu.
    International Journal of Robotics Research (IJRR).

  5. "Autonomous Mapless Navigation on Uneven Terrains."
    Hassan Jardali, Mahmoud Ali, Lantao Liu.
    IEEE International Conference on Robotics and Automation (ICRA).

  6. "Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation."
    Abe Leininger, Mahmoud Ali, Hassan Jardali, and Lantao Liu.
    IEEE International Conference on Robotics and Automation (ICRA).

  7. "Show Your Face: Restoring Complete Facial Images from Partial Observations for VR Meeting."
    Zheng Chen, Zhiqi Zhang, Junsong Yuan, Yi Xu, Lantao Liu.
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) .

  8. "Kernel-based Diffusion Approximated Markov Decision Processes for Autonomous Navigation and Control on Unstructured Terrains."
    Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu.
    International Journal of Robotics Research (IJRR).

2023

  1. "Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes."
    Weizhe Chen, Roni Khardon, Lantao Liu.
    International Journal of Robotics Research (IJRR).

  2. "Autonomous Navigation, Mapping and Exploration with Gaussian Processes."
    Mahmoud Ali, Hassan Jardali, Nicholas Roy, Lantao Liu.
    Robotics: Science and Systems (RSS).

  3. "Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction."
    Zheng Chen, Durgakant Pushp, Jason Gregory, Lantao Liu
    Autonomous Robots (AURO).

  4. "Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation."
    Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu.
    IEEE Robotics and Automation Letters (RA-L).

  5. "POVNav: A Pareto-Optimal Mapless Visual Navigator."
    Durgakant Pushp, Zheng Chen, Chaomin Luo, Jason Gregory, Lantao Liu.
    International Symposium on Experimental Robotics (ISER).

  6. "IDA: Informed Domain Adaptive Semantic Segmentation."
    Zheng Chen, Zhengming Ding, Jason Gregory, Lantao Liu.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

  7. "GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments."
    Ihab S. Mohamed, Mahmoud Ali, Lantao Liu.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

  8. "Coordination of Bounded Rational Drones through Informed Prior Policy."
    Durgakant Pushp, Junhong Xu, Lantao Liu.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

  9. "GP-Frontier for Local Mapless Navigation."
    Mahmoud Ali, Lantao Liu.
    IEEE International Conference on Robotics and Automation (ICRA).

  10. "Model-Agnostic Multi-Agent Perception Framework."
    Runsheng Xu, Weizhe Chen, Hao Xiang, Lantao Liu, Jiaqi Ma.
    IEEE International Conference on Robotics and Automation (ICRA).

  11. "Light-Weight Pointcloud Representation with Sparse Gaussian Process."
    Mahmoud Ali, Lantao Liu.
    IEEE International Conference on Robotics and Automation (ICRA).

  12. "Causal Inference for De-biasing Motion Estimation from Robotic Observational Data."
    Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu.
    IEEE International Conference on Robotics and Automation (ICRA).

2022

  1. "AK: Attentive Kernel for Information Gathering."
    Weizhe Chen, Roni Khardon, Lantao Liu.
    Robotics: Science and Systems (RSS).
    Best Student Paper Award

  2. "CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation."
    Zheng Chen, Durgakant Pushp, Lantao Liu.
    Robotics: Science and Systems (RSS).

  3. "Autonomous Navigation of AGVs in Unknown Cluttered Environments: log-MPPI Control Strategy."
    Ihab S. Mohamed, Kai Yin, Lantao Liu.
    IEEE Robotics and Automation Letters (RA-L).

  4. "UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation."
    Durgakant Pushp, Swapnil Kalhapure, Kaushik Das, Lantao Liu.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

  5. "Decision-Making Among Bounded Rational Agents."
    Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu.
    International Symposium on Distributed Autonomous Robotic Systems (DARS).

  6. "Multi-task Allocation Framework with Spatial Dislocation Collision Avoidance for Multiple Aerial Robots."
    Tingjun Lei, Chaomin Luo, Timothy Sellers, Ying Wang, Lantao Liu.
    IEEE Transactions on Aerospace and Electronic Systems (TAES).

  7. "An Informative Planning-based Multi-layer Robot Navigation System as Applied in a Poultry Barn."
    Tingjun Lei, Guoming Li, Chaomin Luo, Li Zhang, Lantao Liu, Richard Gates.
    Journal of Intelligence & Robotics.

  8. "An Artificial Neural Network-Based Model Predictive Control for Three-Phase Flying Capacitor Multilevel Inverter."
    Abualkasim Bakeer, Ihab S Mohamed, Parisa Boodaghi Malidarreh, Intissar Hattabi, Lantao Liu.
    IEEE Access 10 (2022): 70305-70316.

  9. "Informative Planning in the Presence of Outliers."
    Weizhe Chen, Lantao Liu.
    IEEE International Conference on Robotics and Automation (ICRA).

2021

  1. "Navigable Space Construction from Sparse Noisy Point Clouds."
    Zheng Chen, Lantao Liu
    IEEE Robotics and Automation Letters (RA-L).

  2. "Efficient Map Prediction via Low-Rank Matrix Completion."
    Zheng Chen, Shi Bai, Lantao Liu
    IEEE International Conference on Robotics and Automation (ICRA).

  3. "Information-Driven Path Planning."
    Shi Bai, Tixiao Shan, Fanfei Chen, Lantao Liu, Brendan Englot
    Journal of Current Robotics Reports (Invited).

  4. "Bounded Rationality for Multi-Agent Motion Planning and Behavior Learning."
    Junhong Xu, Kai Yin, Lantao Liu
    NeurIPS Workshop on Learning and Decision-Making with Strategic Feedback (StratML'21).

  5. "NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction."
    Zheng Chen, Lantao Liu
    NeurIPS Workshop on Machine Learning for Autonomous Driving.

  6. "From MPC-Based to End-to-End (E2E) Learning-Based Control Policy for Grid-Tied 3L-NPC Transformerless Inverter."
    Sherif A Zaid, Ihab S Mohamed, Abualkasim Bakeer, Lantao Liu, Hani Albalawi, Mohamed E Tawfiq, Ahmed M Kassem.
    IEEE Access.

  7. "Artificial Neural Network based Voltage Control of DC-DC Converter for DC Microgrid Applications."
    HUssain Sarwar Khan, Ihab S. Mohamad, Kimmo Kauhaniemi, Lantao Liu
    The 6th IEEE Workshop on the Electronic Grid (eGrid 2021).

2020

  1. "Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes"
    Junhong Xu, Kai Yin, Lantao Liu
    Robotics: Science and Systems (RSS). Virtual Conference, 2020.

  2. "State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning"
    Junhong Xu, Kai Yin, Lantao Liu
    IEEE Robotics and Automation Letters (RA-L). 2020.

  3. "An Online Planning Algorithm for Uncertain and Dynamic Environment with the Presence of Other Mobile Vehicles"
    Junhong Xu, Kai Yin, Lantao Liu
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2020.

  4. "Swarming of Aerial Robots with Markov Random Field Optimization."
    Malintha Fernando, Lantao Liu
    Arxiv: https://arxiv.org/abs/2010.06274

  5. "AutoQ: Automated Kernel-Wise Neural Network Quantization"
    Qian Lou, Feng Guo, Minje Kim, Lantao Liu, Lei Jiang
    International Conference on Learning Representations (ICLR). Virtual Conference, 2020.

2019

  1. "Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning"
    Weizhe Chen, Lantao Liu
    Robotics: Science and Systems (RSS). Messe Freiburg, Germany, 2019.

  2. "Reachable Space Characterization of Markov Decision Processes with Time Variability"
    Junhong Xu, Kai Yin, Lantao Liu
    Robotics: Science and Systems (RSS). Messe Freiburg, Germany, 2019.

  3. "Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning"
    Weizhe Chen, Lantao Liu.
    IEEE Conference on Decision and Control (CDC). Nice, France, 2019.

  4. "Formation Control and Navigation of a Quadrotor Swarm"
    Malintha Fernando, Lantao Liu
    International Conference on Unmanned Aircraft Systems (ICUAS). Atlanta, GA, 2019.

  5. "A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation"
    Zheng Chen, Malintha Fernando, Lantao Liu
    48th Annual IEEE Applied Imagery and Pattern Recognition (AIPR) Workshop: Cognition, Collaboration, and Cloud. Washington, D.C., 2019.

  6. "Action Learning for Coral Detection and Species Classification"
    Junhong Xu, Lantao Liu
    (PDF) The OCEANS Conference. Seattle, WA, 2019.

  7. "Long-Term Autonomous Ocean Monitoring with Streaming Samples"
    Weizhe Chen, Lantao Liu
    (PDF) The OCEANS Conference. Seattle, WA, 2019.

2018

  1. "A Solution to Time-Varying Markov Decision Processes"
    Lantao Liu, Gaurav S. Sukhatme
    (Arxiv) IEEE Robotics and Automation Letters (RA-L). vol.3, no. 3. pp. 1631-1638, 2018.

  2. "Accelerating Goal-Directed Reinforcement Learning by Model Characterization"
    Shoubhik Debnath, Gaurav Sukhatme, Lantao Liu.
    (Arxiv) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Madrid, Spain, 2018.

  3. "Learning to Act in Partially Structured Dynamic Environment"
    Chen Huang, Lantao Liu, Gaurav Sukhatme.
    (PDF) AAAI 2018 Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy (SIRLE). Stanford University, CA. 2018.

  4. "Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times"
    Shoubhik Debnath, Lantao Liu, Gaurav Sukhatme.
    (Arxiv) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Madrid, Spain, 2018.

  5. "Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation"
    Chen Huang, Kai Yin, Lantao Liu.
    (Arxiv) The OCEANS Conference. Charleston, SC. 2018.

2017

  1. "Data-Driven Learning and Planning for Environmental Sampling"
    Kai-Chieh Ma, Lantao Liu, Hordur K. Heidarsson, Gaurav S. Sukhatme
    (Arxiv. Journal of Field Robotics (JFR). Nov 2017)

  2. "A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits"
    Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme
    (Arxiv. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Vancouver, Canada. Sept 2017.)

  3. "Reachability and Differential based Heuristics for Solving Markov Decision Processes"
    Shoubhik Debnath, Lantao Liu, Gaurav Sukhatme.
    (Arxiv. International Symposium on Robotics Research (ISRR). Chile, 2017.)

  4. "Informative Planning and Online Learning with Sparse Gaussian Processes"
    Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme
    (Arxiv. IEEE International Conference on Robotics and Automation (ICRA). Singapore. May 2017)


Publications before VAIL is established

2016

  1. "An Information-Driven and Disturbance-Aware Planning Method for Long-Term Ocean Monitoring"
    Best Application Paper Award Finalist, also Best Student Paper Award Finalist
    Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme.
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016). Deajeon, Korea. Oct, 2016.
    (PDF)

  2. "Multi-Robot Informative and Adaptive Planning for Persistent Environmental Monitoring"
    Kai-Chieh Ma, Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme.
    International Symposium on Distributed Autonomous Robotic Systems (DARS). London, UK. Nov 2016.
    (PDF)

  3. "An Adaptive k-opt Method for Solving Traveling Salesman Problem"
    Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme.
    IEEE Conference on Decision and Control (CDC 2016). Las Vegas, NV. Dec, 2016
    (PDF)

  4. "An MDP-based Approximation Method for Goal Constrained Multi-MAV Planning under Action Uncertainty"
    Lantao Liu, Nathan Michael.
    IEEE International Conference on Robotics and Automation (ICRA). Stockholm, Sweden. May, 2016.
    (PDF)

  5. "Multi-Robot Informative Planning for Long Term Ocean Monitoring"
    Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme.
    IEEE International Conference on Robotics and Automation (ICRA) Workshop: AI for Long-term Autonomy. Stockholm, Sweden. May, 2016.
    (PDF)

2015

  1. "Communication Constrained Task Allocation with Optimized Local Task Swaps"
    Lantao Liu, Nathan Michael, Dylan Shell
    Autonomous Robots (AURO). vol. 39, no. 3, pp. 429-444, 2015
    (Download from Springer)

2014

  1. "From Selfish Auctioning to Incentivized Marketing"
    Lantao Liu, Dylan Shell, Nathan Michael
    Autonomous Robots (AURO). vol. 37, no. 4, pp. 417-430, 2014.
    (Manuscript) (Download from Springer)

  2. "Fully Decentralized Task Swaps with Optimized Local Searching"
    Lantao Liu, Nathan Michael, Dylan Shell
    2014 Robotics: Science and Systems Conference (RSS). Berkeley, California. July 2014.
    (PDF)

  3. "Multi-Vehicle Adaptive Planning with Online Estimated Cost due to Disturbances"
    Vishnu R. Desaraju, Lantao Liu, Nathan Michael
    International Conference on Intelligent Autonomous Systems (IAS). Padova, Italy. July 2014.
    (PDF)

  4. "Energy-Aware Aerial Vehicle Deployment via Bipartite Graph Matching"
    Lantao Liu, Nathan Michael
    International Conference on Unmanned Aircraft Systems (ICUAS). Orlando, Florida. May 2014.
    (PDF)

2013

  1. "Physically Routing Robots in a Multi-robot Network: Flexibility through a Three Dimensional Matching Graph"
    Lantao Liu, Dylan Shell
    International Journal of Robotics Research (IJRR). vol. 32, no. 12, pp. 1475-1494, 2013.
    (Manuscript) (Download from Sage)

  2. "An Anytime Assignment Algorithm: From Local Task Swapping to Global Optimality"
    Lantao Liu, Dylan Shell
    Autonomous Robots (AURO). vol. 35, no. 4, pp 271-286. 2013.
    (Manuscript) (Download from Springer)

  3. "Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing"
    Lantao Liu, Dylan Shell
    2013 Robotics: Science and Systems Conference (RSS). Berlin, Germany. June 2013.
    (PDF) (Download code)

  4. "Comparative Genomic Analysis of the Endosymbionts of Herbivorous Insects Reveals Eco-environmental Adaptations: Biotechnology Applications"
    Weibing Shi, Shangxian Xie, Su Sun, Xueyan Chen, Xin Zhou, Lantao Liu, Peng Gao, Nikos C. Kyprides, En-Gyu No, Joshua S. Yuan.
    PLoS Genetics. vol. 9, no. 1. 2013.
    (Text PDF)

  5. "Application of an Improved Proteomics Method for Abundant Protein Cleanup: Molecular and Genomic Mechanisms Study in Plant Defense"
    Yixiang Zhang, Peng Gao, Zhuo Xing, Shumei Jin, Zhide Chen, Lantao Liu, Nasie Constantino, Xinwang Wang, Weibing Shi, Susie Y. Dai, Joshua S. Yuan.
    Molecular and Cellular Proteomics. vol. 12, no. 11, pp. 3431-3442. 2013.
    (PDF)

2012

  1. "Large-Scale Multi-Robot Task Allocation via Dynamic Partitioning and Distribution"
    Lantao Liu, Dylan Shell
    Autonomous Robots (AURO). vol. 33, no. 3, pp 291-307. 2012.
    (Manuscript) (Download from Springer)

  2. "A Distributable and Computation-Flexible Assignment Algorithm: From Local Task Swapping to Global Optimality"
    Lantao Liu, Dylan Shell
    2012 Robotics: Science and Systems Conference (RSS). Sydney, Australia. July 2012.
    (PDF) (Download code)

  3. "Multi-robot Formation Morphing through a Graph Matching Problem"
    Best Student Paper Runner-up Award
    Lantao Liu, Dylan Shell
    International Symposium on Distributed Autonomous Robotic Systems (DARS). Baltimore, MD. Nov 2012.
    (PDF)

  4. "An Efficient Distributed Topo-Geometric Spatial Density Estimation Method for Multi-Robot Systems"
    Lantao Liu, Dylan Shell
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Algarve, Portugal. Oct 2012.
    (PDF)

  5. "Tunable Routing Solutions for Multi-Robot Navigation via the Assignment Problem: A 3D Representation of the Matching Graph"
    Lantao Liu, Dylan Shell.
    IEEE International Conference on Robotics and Automation (ICRA). Saint Paul, Minnesota. May 2012.
    (PDF)

  6. "Tackling Task Allocation Uncertainty via a Combinatorial Method"
    Lantao Liu, Dylan Shell
    IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR). College Station, TX. Nov 2012.
    (PDF)

2011

  1. "Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm"
    Lantao Liu, Dylan Shell
    International Journal of Robotics Research (IJRR). vol. 30, no. 7, pp 936-953. 2011.
    (Manuscript) (Download from Sage) (Download code)

  2. "Multi-level Partitioning and Distribution of the Assignment Problem for Large-scale Multi-robot Task Allocation"
    Lantao Liu, Dylan Shell
    2011 Robotics: Science and Systems Conference (RSS). Los Angeles, California. Jun 2011.
    (PDF)

  3. "Approximate Characterization of Multi-Robot Swarm 'Shapes' in Sublinear-Time"
    Lantao Liu, Benjamin Fine, Dylan Shell, Andreas Klappenecker
    IEEE International Conference on Robotics and Automation (ICRA). Shanghai, China. May 2011.
    (PDF)

  4. "HDX-Analyzer: A Novel Package for Statistical Analysis of Protein Structure Dynamics"
    Lantao Liu, Sanmin Liu (co-first), Ugur Uzunner, Xin Zhou, Manxi Gu, Weibing Shi, Yixiang Zhang, Susie Y. Dai, and Joshua S. Yuan.
    Journal of BMC Bioinformatics. 2011, 12(S1):S43
    (Text PDF) (Download code)

2010

  1. "Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm"
    Lantao Liu, Dylan Shell
    2010 Robotics: Science and Systems Conference (RSS). Zaragoza, Spain. Jun 2010.
    (PDF) (Download code)

  2. "Task Insertion and Reassignment in Networked Robots for Topological Morphing"
    Lantao Liu, Dylan Shell
    IEEE International Conference on Robotics and Automation--Workshop of Network Science and Systems. Anchorage, Alaska. May 2010.
    (PDF)

  3. "Enzyme Structure Dynamics of Xylanase I from Trichoderma longibrachiatum"
    Ugur Uzuner, Weibing Shi, Lantao Liu, Sanmin Liu, Susie Y. Dai, Joshua S. Yuan.
    Journal of BMC Bioinformatics. 2010, 11(S6):S12
    (Text PDF)

Referred Abstracts and Posters

  1. Tractography using Reinforcement Learning and Adaptive-Expanding Graphs.
    Tingyi Wanyan, Lantao Liu, Eleftherios Garyfallidis.
    International Symposium on Biomedical Imaging (ISBI). Washington DC. Apr 2018.

  2. A Hierarchical Informative Path Planning Method for Ocean Monitoring.
    Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme
    The 1st Southern California Robotics Symposium (SCR). San Diego, CA. Apr 2016.

  3. "Toward the Desired Performance for Multi-robot Task Allocation"
    Lantao Liu<
    IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR). Sweden. 2013.

  4. Distribute the Task Swapping Assignment Method under Communication Constraints
    Lantao Liu, Dylan Shell
    The 2012 Symposium on Emerging Topics in Control and Modeling: Networked Systems (CMNS). Urbana-Champaign, IL. Oct 2012.

  5. Novel Software Package for HDX Mass Spectrometry Analysis
    Lantao Liu, Xin Zhou, Ugur Uzuner, Susie Dai, Joshua Yuan
    The 7th Annual MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. Jonesboro, AR. Feb 2010.

  6. Structure Dynamics Analysis of Xylanases
    Ugur Uzuner, Weibing Shi, Lantao Liu, Susie Dai, Joshua Yuan
    The 7th Annual MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. Jones- boro, AR. Feb 2010.

  7. Structure Dynamics Analysis of Cellulase Enzymes
    Weibing Shi, Yingxiang Zhang, Lantao Liu, Susie Dai, Joshua Yuan
    The 7th Annual MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. Jonesboro, AR. Feb 2010.

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