Lantao Liu

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 99

Top Venues

CoRR

ICRA

IROS

Robotics: Science and Systems

Publications

Abe Leininger, Mahmoud Ali, Hassan Jardali, Lantao Liu
Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation. ICRA (2024)
Mahmoud Ali, Durgakant Pushp, Zheng Chen, Lantao Liu
Visual-Geometry GP-based Navigable Space for Autonomous Navigation. CoRR (2024)
Weizhe Chen, Lantao Liu, Roni Khardon
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering. CoRR (2024)
Junhong Xu, Kai Yin, Zheng Chen, Jason M. Gregory, Ethan A. Stump, Lantao Liu
Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains. Int. J. Robotics Res. 43 (7) (2024)
Zheng Chen, Qingan Yan, Huangying Zhan, Changjiang Cai, Xiangyu Xu, Yuzhong Huang, Weihan Wang, Ziyue Feng, Lantao Liu, Yi Xu
PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields. CoRR (2024)
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)
Hassan Jardali, Mahmoud Ali, Lantao Liu
Autonomous Mapless Navigation on Uneven Terrains. ICRA (2024)
Junhong Xu, Kai Yin, Jason M. Gregory, Kris Hauser, Lantao Liu
Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning. CoRR (2024)
Abe Leininger, Mahmoud Ali, Hassan Jardali, Lantao Liu
Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation. CoRR (2024)
Weizhe Chen, Roni Khardon, Lantao Liu
Adaptive Robotic Information Gathering via non-stationary Gaussian processes. Int. J. Robotics Res. 43 (4) (2024)
Hassan Jardali, Mahmoud Ali, Lantao Liu
Autonomous Mapless Navigation on Uneven Terrains. CoRR (2024)
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)
Ihab S. Mohamed, Junhong Xu, Gaurav S. Sukhatme, Lantao Liu
Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy. CoRR (2023)
Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. ICRA (2023)
Zheng Chen, Durgakant Pushp, Jason M. Gregory, Lantao Liu
Pseudo-trilateral adversarial training for domain adaptive traversability prediction. Auton. Robots 47 (8) (2023)
Mahmoud Ali, Lantao Liu
Light-Weight Pointcloud Representation with Sparse Gaussian Process. ICRA (2023)
Durgakant Pushp, Zheng Chen, Chaomin Luo, Jason M. Gregory, Lantao Liu
POVNav: A Pareto-Optimal Mapless Visual Navigator. CoRR (2023)
Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu
IDA: Informed Domain Adaptive Semantic Segmentation. CoRR (2023)
Zheng Chen, Zhengming Ding, Jason M. Gregory, Lantao Liu
IDA: Informed Domain Adaptive Semantic Segmentation. IROS (2023)
Weizhe Chen, Lantao Liu
Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning. CoRR (2023)
Zheng Chen, Durgakant Pushp, Jason M. Gregory, Lantao Liu
Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction. CoRR (2023)
Durgakant Pushp, Junhong Xu, Lantao Liu
Coordination of Bounded Rational Drones through Informed Prior Policy. CoRR (2023)
Weizhe Chen, Roni Khardon, Lantao Liu
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes. CoRR (2023)
Ihab S. Mohamed, Mahmoud Ali, Lantao Liu
GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments. CoRR (2023)
Tingjun Lei, Pradeep Chintam, Chaomin Luo, Lantao Liu, Gene Eu Jan
A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning. Sensors 23 (11) (2023)
Mahmoud Ali, Lantao Liu
GP-Frontier for Local Mapless Navigation. CoRR (2023)
Ihab S. Mohamed, Mahmoud Ali, Lantao Liu
GP-Guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments. IROS (2023)
Zheng Chen, Zhengming Ding, David J. Crandall, Lantao Liu
Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation. IEEE Robotics Autom. Lett. 8 (4) (2023)
Weizhe Chen, Lantao Liu
Long-Term Autonomous Ocean Monitoring with Streaming Samples. CoRR (2023)
Mahmoud Ali, Lantao Liu
Light-Weight Pointcloud Representation with Sparse Gaussian Process. CoRR (2023)
Runsheng Xu, Weizhe Chen, Hao Xiang, Xin Xia, Lantao Liu, Jiaqi Ma
Model-Agnostic Multi-Agent Perception Framework. ICRA (2023)
Mahmoud Ali, Lantao Liu
GP-Frontier for Local Mapless Navigation. ICRA (2023)
Durgakant Pushp, Junhong Xu, Lantao Liu
Coordination of Bounded Rational Drones Through Informed Prior Policy. IROS (2023)
Mahmoud Ali, Hassan Jardali, Nicholas Roy, Lantao Liu
Autonomous Navigation, Mapping and Exploration with Gaussian Processes. Robotics: Science and Systems (2023)
Zheng Chen, Deepak Duggirala, David Crandall, Lei Jiang, Lantao Liu
SePaint: Semantic Map Inpainting via Multinomial Diffusion. CoRR (2023)
Weizhe Chen, Roni Khardon, Lantao Liu
AK: Attentive Kernel for Information Gathering. CoRR (2022)
Zheng Chen, Durgakant Pushp, Lantao Liu
CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation. CoRR (2022)
Weizhe Chen, Lantao Liu
Informative Planning in the Presence of Outliers. ICRA (2022)
Ihab S. Mohamed, Kai Yin, Lantao Liu
Autonomous Navigation of AGVs in Unknown Cluttered Environments: Log-MPPI Control Strategy. IEEE Robotics Autom. Lett. 7 (4) (2022)
Ihab S. Mohamed, Kai Yin, Lantao Liu
Autonomous Navigation of AGVs in Unknown Cluttered Environments: log-MPPI Control Strategy. CoRR (2022)
Weizhe Chen, Runsheng Xu, Hao Xiang, Lantao Liu, Jiaqi Ma
Model-Agnostic Multi-Agent Perception Framework. CoRR (2022)
Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu
Decision-Making Among Bounded Rational Agents. DARS (2022)
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)
Junhong Xu, Kai Yin, Jason M. Gregory, Lantao Liu
Causal Inference for De-biasing Motion Estimation from Robotic Observational Data. CoRR (2022)
Weizhe Chen, Roni Khardon, Lantao Liu
AK: Attentive Kernel for Information Gathering. Robotics: Science and Systems (2022)
Tingjun Lei, Chaomin Luo, Timothy Sellers, Ying Wang, Lantao Liu
Multitask Allocation Framework With Spatial Dislocation Collision Avoidance for Multiple Aerial Robots. IEEE Trans. Aerosp. Electron. Syst. 58 (6) (2022)
Junhong Xu, Durgakant Pushp, Kai Yin, Lantao Liu
Decision-Making Among Bounded Rational Agents. CoRR (2022)
Abualkasim Bakeer, Ihab S. Mohamed, Parisa Boodaghi Malidarreh, Intissar Hattabi, Lantao Liu
An Artificial Neural Network-Based Model Predictive Control for Three-Phase Flying Capacitor Multilevel Inverter. IEEE Access 10 (2022)
Durgakant Pushp, Swapnil Kalhapure, Kaushik Das, Lantao Liu
UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation. CoRR (2022)
Durgakant Pushp, Swapnil Kalhapure, Kaushik Das, Lantao Liu
UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation. IROS (2022)
Sherif A. Zaid, Ihab S. Mohamed, Abualkasim Bakeer, Lantao Liu, Hani Albalawi, Mohamed E. Tawfiq, Ahmed M. Kassem
From MPC-Based to End-to-End (E2E) Learning-Based Control Policy for Grid-Tied 3L-NPC Transformerless Inverter. IEEE Access 10 (2022)
Zheng Chen, Shi Bai, Lantao Liu
Efficient Map Prediction via Low-Rank Matrix Completion. ICRA (2021)
Weizhe Chen, Lantao Liu
Informative Planning in the Presence of Outliers. CoRR (2021)
Weizhe Chen, Lantao Liu
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. CoRR (2021)
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 (2021)
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 (2021)
Zheng Chen, Shi Bai, Lantao Liu
Efficient Map Prediction via Low-Rank Matrix Completion. CoRR (2021)
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 (2021)
Zheng Chen, Zhengming Ding, David Crandall, Lantao Liu
Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation. CoRR (2021)
Zheng Chen, Lantao Liu
Navigable Space Construction from Sparse Noisy Point Clouds. IEEE Robotics Autom. Lett. 6 (3) (2021)
Zheng Chen, Lantao Liu
NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction. CoRR (2021)
Zheng Chen, Weizhe Chen, Shi Bai, Lantao Liu
Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps. CoRR (2021)
Junhong Xu, Kai Yin, Lantao Liu
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. CoRR (2020)
Junhong Xu, Kai Yin, Lantao Liu
Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles. IROS (2020)
Junhong Xu, Kai Yin, Lantao Liu
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. Robotics: Science and Systems (2020)
Qian Lou, Feng Guo, Minje Kim, Lantao Liu, Lei Jiang
AutoQ: Automated Kernel-Wise Neural Network Quantization. ICLR (2020)
Junhong Xu, Kai Yin, Lantao Liu
State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning. IEEE Robotics Autom. Lett. 5 (4) (2020)
Malintha Fernando, Lantao Liu
Swarming of Aerial Robots with Markov Random Field Optimization. CoRR (2020)
Junhong Xu, Kai Yin, Lantao Liu
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes. CoRR (2020)
Weizhe Chen, Lantao Liu
Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning. CDC (2019)
Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. CoRR (2019)
Qian Lou, Lantao Liu, Minje Kim, Lei Jiang
AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices. CoRR (2019)
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)
Weizhe Chen, Lantao Liu
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning. Robotics: Science and Systems (2019)
Junhong Xu, Kai Yin, Lantao Liu
Reachable Space Characterization of Markov Decision Processes with Time Variability. Robotics: Science and Systems (2019)
Zheng Chen, Lantao Liu
Creating Navigable Space from Sparse Noisy Map Points. CoRR (2019)
Junhong Xu, Kai Yin, Lantao Liu
State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning. CoRR (2019)
Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
Reachability and Differential based Heuristics for Solving Markov Decision Processes. CoRR (2019)
Junhong Xu, Kai Yin, Lantao Liu
Reachable Space Characterization of Markov Decision Processes with Time Variability. CoRR (2019)
Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. CoRR (2019)
Zheng Chen, Malintha Fernando, Lantao Liu
A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation. AIPR (2019)
Shoubhik Debnath, Gaurav S. Sukhatme, Lantao Liu
Accelerating Goal-Directed Reinforcement Learning by Model Characterization. IROS (2018)
Chen Huang, Lantao Liu, Gaurav S. Sukhatme
Learning to Act in Partially Structured Dynamic Environment. AAAI Spring Symposia (2018)
Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times. IROS (2018)
Lantao Liu, Gaurav S. Sukhatme
A Solution to Time-Varying Markov Decision Processes. IEEE Robotics Autom. Lett. 3 (3) (2018)
Kai-Chieh Ma, Lantao Liu, Hordur Kristinn Heidarsson, Gaurav S. Sukhatme
Data-driven learning and planning for environmental sampling. J. Field Robotics 35 (5) (2018)
Chen Huang, Kai Yin, Lantao Liu
Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation. CoRR (2018)
Shoubhik Debnath, Lantao Liu, Gaurav S. Sukhatme
Reachability and Differential Based Heuristics for Solving Markov Decision Processes. ISRR (2017)
Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme
A spatio-temporal representation for the orienteering problem with time-varying profits. IROS (2017)
Kai-Chieh Ma, Lantao Liu, Hordur Kristinn Heidarsson, Gaurav S. Sukhatme
Data-Driven Learning and Planning for Environmental Sampling. CoRR (2017)
Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme
Informative planning and online learning with sparse Gaussian processes. ICRA (2017)
Lantao Liu, Nathan Michael
An MDP-based approximation method for goal constrained multi-MAV planning under action uncertainty. ICRA (2016)
Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme
An information-driven and disturbance-aware planning method for long-term ocean monitoring. IROS (2016)
Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme
An adaptive k-opt method for solving traveling salesman problem. CDC (2016)
Kai-Chieh Ma, Lantao Liu, Gaurav S. Sukhatme
Informative Planning and Online Learning with Sparse Gaussian Processes. CoRR (2016)
Kai-Chieh Ma, Zhibei Ma, Lantao Liu, Gaurav S. Sukhatme
Multi-robot Informative and Adaptive Planning for Persistent Environmental Monitoring. DARS (2016)
Zhibei Ma, Kai Yin, Lantao Liu, Gaurav S. Sukhatme
A Spatio-Temporal Representation for the Orienteering Problem with Time-Varying Profits. CoRR (2016)
Lantao Liu, Gaurav S. Sukhatme
Making Decisions with Spatially and Temporally Uncertain Data. CoRR (2016)
Lantao Liu, Nathan Michael, Dylan A. Shell
Communication constrained task allocation with optimized local task swaps. Auton. Robots 39 (3) (2015)
Lantao Liu, Nathan Michael, Dylan A. Shell
Fully Decentralized Task Swaps with Optimized Local Searching. Robotics: Science and Systems (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lantao Liu