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Lantao Liu
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2020 – today
- 2024
- [j22]Weizhe Chen
, Roni Khardon, Lantao Liu
Adaptive Robotic Information Gathering via non-stationary Gaussian processes. Int. J. Robotics Res. 43(4): 405-436 (2024) - [j21]Junhong Xu
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains. Int. J. Robotics Res. 43(7): 1056-1080 (2024) - [j20]Junhong Xu
Boundary-aware value function generation for safe stochastic motion planning. Int. J. Robotics Res. 43(12): 1936-1958 (2024) - [c49]Timothy Sellers, Tingjun Lei, Chaomin Luo, Lantao Liu, Daniel W. Carruth:
Enhancing Human-Robot Cohesion through HAT Methods: A Crowd-Avoidance Model for Safety Aware Navigation. ICHMS 2024: 1-6 - [c48]Abe Leininger, Mahmoud Ali, Hassan Jardali, Lantao Liu:
Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation. ICRA 2024: 10925-10931 - [c47]Hassan Jardali, Mahmoud Ali, Lantao Liu:
Autonomous Mapless Navigation on Uneven Terrains. ICRA 2024: 13227-13233 - [c46]Zheng Chen, Zhiqi Zhang, Junsong Yuan, Yi Xu, Lantao Liu:
Show Your Face: Restoring Complete Facial Images from Partial Observations for VR Meeting. WACV 2024: 8673-8682 - [i52]Zheng Chen, Qingan Yan, Huangying Zhan, Changjiang Cai, Xiangyu Xu
PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields. CoRR abs/2401.00871 (2024) - [i51]Hassan Jardali, Mahmoud Ali, Lantao Liu:
Autonomous Mapless Navigation on Uneven Terrains. CoRR abs/2402.13443 (2024) - [i50]Junhong Xu, Kai Yin, Jason M. Gregory, Kris Hauser, Lantao Liu:
Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning. CoRR abs/2403.14956 (2024) - [i49]Abe Leininger, Mahmoud Ali, Hassan Jardali, Lantao Liu:
Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation. CoRR abs/2403.19010 (2024) - [i48]Weizhe Chen, Lantao Liu, Roni Khardon:
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. CoRR abs/2406.03669 (2024) - [i47]Mahmoud Ali, Durgakant Pushp, Zheng Chen, Lantao Liu:
Visual-Geometry GP-based Navigable Space for Autonomous Navigation. CoRR abs/2407.06545 (2024) - [i46]Durgakant Pushp, Junhong Xu, Zheng Chen, Lantao Liu:
Context-Generative Default Policy for Bounded Rational Agent. CoRR abs/2409.11604 (2024) - [i45]Youwei Yu, Junhong Xu, Lantao Liu:
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation. CoRR abs/2410.10766 (2024) - [i44]Md. Al-Masrur Khan, Zheng Chen, Lantao Liu:
C^2DA: Contrastive and Context-aware Domain Adaptive Semantic Segmentation. CoRR abs/2410.19748 (2024) - 2023
- [j19]Zheng Chen, Durgakant Pushp, Jason M. Gregory, Lantao Liu:
Pseudo-trilateral adversarial training for domain adaptive traversability prediction. Auton. Robots 47(8): 1155-1174 (2023) - [j18]Zheng Chen
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation. IEEE Robotics Autom. Lett. 8(4): 2054-2061 (2023) - [j17]Tingjun Lei
A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning. Sensors 23(11): 5103 (2023) - [c45]Runsheng Xu, Weizhe Chen, Hao Xiang, Xin Xia, Lantao Liu, Jiaqi Ma:
Model-Agnostic Multi-Agent Perception Framework. ICRA 2023: 1471-1478 - [c44]Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu:
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. ICRA 2023: 3008-3014 - [c43]Mahmoud Ali, Lantao Liu:
Light-Weight Pointcloud Representation with Sparse Gaussian Process. ICRA 2023: 4931-4937 - [c42]Mahmoud Ali, Lantao Liu:
GP-Frontier for Local Mapless Navigation. ICRA 2023: 10047-10053 - [c41]Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu:
IDA: Informed Domain Adaptive Semantic Segmentation. IROS 2023: 90-97 - [c40]Durgakant Pushp, Junhong Xu, Lantao Liu:
Coordination of Bounded Rational Drones Through Informed Prior Policy. IROS 2023: 6779-6786 - [c39]Ihab S. Mohamed, Mahmoud Ali, Lantao Liu:
GP-Guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments. IROS 2023: 7463-7470 - [c38]Mahmoud Ali, Hassan Jardali, Nicholas Roy, Lantao Liu:
Autonomous Navigation, Mapping and Exploration with Gaussian Processes. Robotics: Science and Systems 2023 - [i43]Mahmoud Ali, Lantao Liu:
Light-Weight Pointcloud Representation with Sparse Gaussian Process. CoRR abs/2301.11251 (2023) - [i42]Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu:
SePaint: Semantic Map Inpainting via Multinomial Diffusion. CoRR abs/2303.02737 (2023) - [i41]Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu:
IDA: Informed Domain Adaptive Semantic Segmentation. CoRR abs/2303.02741 (2023) - [i40]Weizhe Chen, Roni Khardon, Lantao Liu:
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes. CoRR abs/2306.01263 (2023) - [i39]Weizhe Chen, Lantao Liu:
Long-Term Autonomous Ocean Monitoring with Streaming Samples. CoRR abs/2306.06578 (2023) - [i38]Weizhe Chen, Lantao Liu:
Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning. CoRR abs/2306.09608 (2023) - [i37]Ihab S. Mohamed, Junhong Xu, Gaurav S. Sukhatme, Lantao Liu:
Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. CoRR abs/2306.12369 (2023) - [i36]Zheng Chen, Durgakant Pushp, Jason M. Gregory, Lantao Liu:
Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction. CoRR abs/2306.14370 (2023) - [i35]Ihab S. Mohamed, Mahmoud Ali, Lantao Liu:
GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments. CoRR abs/2307.04019 (2023) - [i34]Mahmoud Ali, Lantao Liu:
GP-Frontier for Local Mapless Navigation. CoRR abs/2307.11717 (2023) - [i33]Durgakant Pushp, Junhong Xu, Lantao Liu:
Coordination of Bounded Rational Drones through Informed Prior Policy. CoRR abs/2307.15798 (2023) - [i32]Durgakant Pushp, Zheng Chen, Chaomin Luo, Jason M. Gregory, Lantao Liu:
POVNav: A Pareto-Optimal Mapless Visual Navigator. CoRR abs/2310.14065 (2023) - 2022
- [j16]Sherif A. Zaid
From MPC-Based to End-to-End (E2E) Learning-Based Control Policy for Grid-Tied 3L-NPC Transformerless Inverter. IEEE Access 10: 57309-57326 (2022) - [j15]Abualkasim Bakeer
An Artificial Neural Network-Based Model Predictive Control for Three-Phase Flying Capacitor Multilevel Inverter. IEEE Access 10: 70305-70316 (2022) - [j14]Ihab S. Mohamed
Autonomous Navigation of AGVs in Unknown Cluttered Environments: Log-MPPI Control Strategy. IEEE Robotics Autom. Lett. 7(4): 10240-10247 (2022) - [j13]Tingjun Lei
Multitask Allocation Framework With Spatial Dislocation Collision Avoidance for Multiple Aerial Robots. IEEE Trans. Aerosp. Electron. Syst. 58(6): 5129-5140 (2022) - [c37]Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu:
Decision-Making Among Bounded Rational Agents. DARS 2022: 273-285 - [c36]Weizhe Chen, Lantao Liu:
Informative Planning in the Presence of Outliers. ICRA 2022: 5311-5318 - [c35]Durgakant Pushp, Swapnil Kalhapure, Kaushik Das, Lantao Liu:
UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation. IROS 2022: 1297-1304 - [c34]Weizhe Chen, Roni Khardon, Lantao Liu:
AK: Attentive Kernel for Information Gathering. Robotics: Science and Systems 2022 - [c33]Zheng Chen, Durgakant Pushp, Lantao Liu:
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation. Robotics: Science and Systems 2022 - [i31]Weizhe Chen, Runsheng Xu, Hao Xiang, Lantao Liu, Jiaqi Ma:
Model-Agnostic Multi-Agent Perception Framework. CoRR abs/2203.13168 (2022) - [i30]Ihab S. Mohamed
Autonomous Navigation of AGVs in Unknown Cluttered Environments: log-MPPI Control Strategy. CoRR abs/2203.16599 (2022) - [i29]Zheng Chen, Durgakant Pushp, Lantao Liu:
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation. CoRR abs/2204.09617 (2022) - [i28]Weizhe Chen, Roni Khardon, Lantao Liu:
AK: Attentive Kernel for Information Gathering. CoRR abs/2205.06426 (2022) - [i27]Durgakant Pushp, Swapnil Kalhapure, Kaushik Das, Lantao Liu:
UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation. CoRR abs/2209.11704 (2022) - [i26]Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu:
Decision-Making Among Bounded Rational Agents. CoRR abs/2210.08672 (2022) - [i25]Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu:
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. CoRR abs/2210.08679 (2022) - 2021
- [j12]Zheng Chen
Navigable Space Construction from Sparse Noisy Point Clouds. IEEE Robotics Autom. Lett. 6(3): 4720-4727 (2021) - [c32]Zheng Chen, Shi Bai, Lantao Liu:
Efficient Map Prediction via Low-Rank Matrix Completion. ICRA 2021: 13953-13959 - [i24]Parisa Boodaghi Malidarreh, Abualkasim Bakeer, Ihab S. Mohamed, Lantao Liu:
An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter. CoRR abs/2110.08101 (2021) - [i23]Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu:
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. CoRR abs/2111.00063 (2021) - [i22]Zheng Chen, Weizhe Chen, Shi Bai, Lantao Liu:
Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps. CoRR abs/2111.00067 (2021) - [i21]Zheng Chen, Shi Bai, Lantao Liu:
Efficient Map Prediction via Low-Rank Matrix Completion. CoRR abs/2111.00075 (2021) - [i20]Zheng Chen, Lantao Liu:
NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction. CoRR abs/2111.01127 (2021) - [i19]Weizhe Chen, Lantao Liu:
Informative Planning in the Presence of Outliers. CoRR abs/2111.01822 (2021) - [i18]Weizhe Chen, Lantao Liu:
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. CoRR abs/2111.01825 (2021) - [i17]Hussain Sarwar Khan, Ihab S. Mohamed, Kimmo Kauhaniemi, Lantao Liu:
Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications. CoRR abs/2111.03207 (2021) - [i16]Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu:
Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control. CoRR abs/2111.08748 (2021) - 2020
- [j11]Junhong Xu
State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning. IEEE Robotics Autom. Lett. 5(4): 5589-5596 (2020) - [c31]Qian Lou
AutoQ: Automated Kernel-Wise Neural Network Quantization. ICLR 2020 - [c30]Junhong Xu, Kai Yin, Lantao Liu:
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. IROS 2020: 2410-2416 - [c29]Junhong Xu, Kai Yin, Lantao Liu:
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. Robotics: Science and Systems 2020 - [i15]Junhong Xu, Kai Yin, Lantao Liu:
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. CoRR abs/2006.02008 (2020) - [i14]Junhong Xu, Kai Yin, Lantao Liu:
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. CoRR abs/2009.03733 (2020) - [i13]Malintha Fernando, Lantao Liu:
Swarming of Aerial Robots with Markov Random Field Optimization. CoRR abs/2010.06274 (2020)
2010 – 2019
- 2019
- [c28]Zheng Chen, Malintha Fernando
A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation. AIPR 2019: 1-7 - [c27]Weizhe Chen, Lantao Liu:
Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning. CDC 2019: 5716-5722 - [c26]Yufei Huang, Ji Gao, Dan Wang, Yong Liu, Zhengji Song, Jia Xu, Lantao Liu:
High Precision Spatiotemporal Datum Design Based on Ground Observation Position. CSPS 2019: 408-414 - [c25]Weizhe Chen, Lantao Liu:
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. Robotics: Science and Systems 2019 - [c24]Junhong Xu, Kai Yin, Lantao Liu:
Reachable Space Characterization of Markov Decision Processes with Time Variability. Robotics: Science and Systems 2019 - [i12]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Reachability and Differential based Heuristics for Solving Markov Decision Processes. CoRR abs/1901.00921 (2019) - [i11]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. CoRR abs/1901.01229 (2019) - [i10]Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu:
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. CoRR abs/1901.01977 (2019) - [i9]Qian Lou, Lantao Liu, Minje Kim, Lei Jiang:
AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. CoRR abs/1902.05690 (2019) - [i8]Junhong Xu, Kai Yin, Lantao Liu:
State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning. CoRR abs/1903.00948 (2019) - [i7]Zheng Chen, Lantao Liu:
Creating Navigable Space from Sparse Noisy Map Points. CoRR abs/1903.01503 (2019) - [i6]Junhong Xu, Kai Yin, Lantao Liu:
Reachable Space Characterization of Markov Decision Processes with Time Variability. CoRR abs/1905.09342 (2019) - 2018
- [j10]Kai-Chieh Ma, Lantao Liu, Hordur Kristinn Heidarsson, Gaurav S. Sukhatme:
Data-driven learning and planning for environmental sampling. J. Field Robotics 35(5): 643-661 (2018) - [j9]Lantao Liu
A Solution to Time-Varying Markov Decision Processes. IEEE Robotics Autom. Lett. 3(3): 1631-1638 (2018) - [c23]Chen Huang, Lantao Liu, Gaurav S. Sukhatme:
Learning to Act in Partially Structured Dynamic Environment. AAAI Spring Symposia 2018 - [c22]Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu:
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. IROS 2018: 1-9 - [c21]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. IROS 2018: 7063-7070 - [i5]Chen Huang, Kai Yin, Lantao Liu:
Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation. CoRR abs/1803.04057 (2018) - 2017
- [c20]Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme:
Informative planning and online learning with sparse Gaussian processes. ICRA 2017: 4292-4298 - [c19]Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme:
A spatio-temporal representation for the orienteering problem with time-varying profits. IROS 2017: 6785-6792 - [c18]Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme:
Reachability and Differential Based Heuristics for Solving Markov Decision Processes. ISRR 2017: 387-404 - [i4]Kai-Chieh Ma, Lantao Liu, Hordur Kristinn Heidarsson, Gaurav S. Sukhatme:
Data-Driven Learning and Planning for Environmental Sampling. CoRR abs/1702.01848 (2017) - 2016
- [c17]Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme:
An adaptive k-opt method for solving traveling salesman problem. CDC 2016: 6537-6543 - [c16]Kai-Chieh Ma, Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme:
Multi-robot Informative and Adaptive Planning for Persistent Environmental Monitoring. DARS 2016: 285-298 - [c15]Lantao Liu, Nathan Michael:
An MDP-based approximation method for goal constrained multi-MAV planning under action uncertainty. ICRA 2016: 56-62 - [c14]Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme:
An information-driven and disturbance-aware planning method for long-term ocean monitoring. IROS 2016: 2102-2108 - [i3]Lantao Liu, Gaurav S. Sukhatme:
Making Decisions with Spatially and Temporally Uncertain Data. CoRR abs/1605.01018 (2016) - [i2]Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme:
Informative Planning and Online Learning with Sparse Gaussian Processes. CoRR abs/1609.07560 (2016) - [i1]Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme:
A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits. CoRR abs/1611.08037 (2016) - 2015
- [j8]Lantao Liu, Nathan Michael, Dylan A. Shell:
Communication constrained task allocation with optimized local task swaps. Auton. Robots 39(3): 429-444 (2015) - 2014
- [j7]Lantao Liu, Dylan A. Shell, Nathan Michael:
From selfish auctioning to incentivized marketing. Auton. Robots 37(4): 417-430 (2014) - [c13]Vishnu R. Desaraju, Lantao Liu, Nathan Michael:
Multi-Vehicle Adaptive Planning with Online Estimated Cost Due to Disturbance Forces. IAS 2014: 321-334 - [c12]Lantao Liu, Nathan Michael, Dylan A. Shell:
Fully Decentralized Task Swaps with Optimized Local Searching. Robotics: Science and Systems 2014 - 2013
- [j6]Lantao Liu, Dylan A. Shell:
An anytime assignment algorithm: From local task swapping to global optimality. Auton. Robots 35(4): 271-286 (2013) - [j5]Lantao Liu, Dylan A. Shell:
Physically routing robots in a multi-robot network: Flexibility through a three-dimensional matching graph. Int. J. Robotics Res. 32(12): 1475-1494 (2013) - [c11]Lantao Liu, Dylan A. Shell:
Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing. Robotics: Science and Systems 2013 - [c10]Hanglong Zhan, Lianghuan Kang, Lantao Liu, Donggang Cao:
Scalable Resource Aggregation Service of an ErlangOTP PaaS Platform. SOSE 2013: 353-358 - 2012
- [j4]Lantao Liu, Dylan A. Shell:
Large-scale multi-robot task allocation via dynamic partitioning and distribution. Auton. Robots 33(3): 291-307 (2012) - [c9]Lantao Liu, Dylan A. Shell:
Multi-Robot Formation Morphing through a Graph Matching Problem. DARS 2012: 291-306 - [c8]Lantao Liu, Dylan A. Shell:
Tunable routing solutions for multi-robot navigation via the assignment problem: A 3D representation of the matching graph. ICRA 2012: 4800-4805 - [c7]Lantao Liu, Dylan A. Shell:
An efficient distributed topo-geometric spatial density estimation method for multi-robot systems. IROS 2012: 828-833 - [c6]Lantao Liu, Dylan A. Shell:
A Distributable and Computation-flexible Assignment Algorithm: From Local Task Swapping to Global Optimality. Robotics: Science and Systems 2012 - [c5]Lantao Liu, Dylan A. Shell:
Tackling task allocation uncertainty via a combinatorial method. SSRR 2012: 1-6 - 2011
- [j3]Sanmin Liu, Lantao Liu, Ugur Uzuner
HDX-Analyzer: a novel package for statistical analysis of protein structure dynamics. BMC Bioinform. 12(S-1): S43 (2011) - [j2]Lantao Liu, Dylan A. Shell:
Assessing optimal assignment under uncertainty: An interval-based algorithm. Int. J. Robotics Res. 30(7): 936-953 (2011) - [c4]Lantao Liu, Benjamin T. Fine, Dylan A. Shell, Andreas Klappenecker:
Approximate characterization of multi-robot swarm "shapes" in sublinear-time. ICRA 2011: 2886-2891 - [c3]Lantao Liu, Dylan A. Shell:
Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation. Robotics: Science and Systems 2011 - 2010
- [j1]Ugur Uzuner
Enzyme structure dynamics of xylanase I from Trichoderma longibrachiatum. BMC Bioinform. 11(S-6): S12 (2010) - [c2]Lantao Liu, Dylan A. Shell:
Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm. Robotics: Science and Systems 2010
2000 – 2009
- 2009
- [c1]Fuxiang Gao, Lantao Liu, Miao Li:
Design and Implementation of Network Resource Management System Based on SNMP. HIS (2) 2009: 341-344
Coauthor Index
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