Lantao Liu

Orcid: 0000-0002-6796-6817

According to our database1, Lantao Liu authored at least 86 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Adaptive Robotic Information Gathering via non-stationary Gaussian processes.
Int. J. Robotics Res., 2024

Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation.
CoRR, 2024

Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning.
CoRR, 2024

Autonomous Mapless Navigation on Uneven Terrains.
CoRR, 2024

PlanarNeRF: Online Learning of Planar Primitives with Neural Radiance Fields.
CoRR, 2024

Show Your Face: Restoring Complete Facial Images from Partial Observations for VR Meeting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Pseudo-trilateral adversarial training for domain adaptive traversability prediction.
Auton. Robots, December, 2023

Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation.
IEEE Robotics Autom. Lett., April, 2023

A Convex Optimization Approach to Multi-Robot Task Allocation and Path Planning.
Sensors, 2023

POVNav: A Pareto-Optimal Mapless Visual Navigator.
CoRR, 2023

Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy.
CoRR, 2023

Long-Term Autonomous Ocean Monitoring with Streaming Samples.
CoRR, 2023

SePaint: Semantic Map Inpainting via Multinomial Diffusion.
CoRR, 2023

Autonomous Navigation, Mapping and Exploration with Gaussian Processes.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Coordination of Bounded Rational Drones Through Informed Prior Policy.
IROS, 2023

GP-Guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments.
IROS, 2023

IDA: Informed Domain Adaptive Semantic Segmentation.
IROS, 2023

Causal Inference for De-biasing Motion Estimation from Robotic Observational Data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Model-Agnostic Multi-Agent Perception Framework.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

GP-Frontier for Local Mapless Navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Light-Weight Pointcloud Representation with Sparse Gaussian Process.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Multitask Allocation Framework With Spatial Dislocation Collision Avoidance for Multiple Aerial Robots.
IEEE Trans. Aerosp. Electron. Syst., 2022

Autonomous Navigation of AGVs in Unknown Cluttered Environments: Log-MPPI Control Strategy.
IEEE Robotics Autom. Lett., 2022

Model-Agnostic Multi-Agent Perception Framework.
CoRR, 2022

From MPC-Based to End-to-End (E2E) Learning-Based Control Policy for Grid-Tied 3L-NPC Transformerless Inverter.
IEEE Access, 2022

An Artificial Neural Network-Based Model Predictive Control for Three-Phase Flying Capacitor Multilevel Inverter.
IEEE Access, 2022

CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

AK: Attentive Kernel for Information Gathering.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Informative Planning in the Presence of Outliers.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Decision-Making Among Bounded Rational Agents.
Proceedings of the Distributed Autonomous Robotic Systems - 16th International Symposium, 2022

2021
Navigable Space Construction from Sparse Noisy Point Clouds.
IEEE Robotics Autom. Lett., 2021

Kernel-based Diffusion Approximated Markov Decision Processes for Off-Road Autonomous Navigation and Control.
CoRR, 2021

Artificial Neural Network-Based Voltage Control of DC/DC Converter for DC Microgrid Applications.
CoRR, 2021

NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction.
CoRR, 2021

Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps.
CoRR, 2021

Polyline Based Generative Navigable Space Segmentation for Autonomous Visual Navigation.
CoRR, 2021

An Artificial Neural Network-Based Model Predictive Control for Three-phase Flying Capacitor Multi-Level Inverter.
CoRR, 2021

Efficient Map Prediction via Low-Rank Matrix Completion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning.
IEEE Robotics Autom. Lett., 2020

Swarming of Aerial Robots with Markov Random Field Optimization.
CoRR, 2020

Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes.
Proceedings of the Robotics: Science and Systems XVI, 2020

Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

AutoQ: Automated Kernel-Wise Neural Network Quantization.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Creating Navigable Space from Sparse Noisy Map Points.
CoRR, 2019

State-Continuity Approximation of Markov Decision Processes via Finite Element Analysis for Autonomous System Planning.
CoRR, 2019

AutoQB: AutoML for Network Quantization and Binarization on Mobile Devices.
CoRR, 2019

Reachable Space Characterization of Markov Decision Processes with Time Variability.
Proceedings of the Robotics: Science and Systems XV, 2019

Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning.
Proceedings of the Robotics: Science and Systems XV, 2019

High Precision Spatiotemporal Datum Design Based on Ground Observation Position.
Proceedings of the Communications, Signal Processing, and Systems, 2019

Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Visual Feature based Obstacle Avoidance Method for Autonomous Navigation.
Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

2018
A Solution to Time-Varying Markov Decision Processes.
IEEE Robotics Autom. Lett., 2018

Data-driven learning and planning for environmental sampling.
J. Field Robotics, 2018

Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation.
CoRR, 2018

Accelerating Goal-Directed Reinforcement Learning by Model Characterization.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning to Act in Partially Structured Dynamic Environment.
Proceedings of the 2018 AAAI Spring Symposia, 2018

2017
Reachability and Differential Based Heuristics for Solving Markov Decision Processes.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

A spatio-temporal representation for the orienteering problem with time-varying profits.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Informative planning and online learning with sparse Gaussian processes.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Making Decisions with Spatially and Temporally Uncertain Data.
CoRR, 2016

An information-driven and disturbance-aware planning method for long-term ocean monitoring.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

An MDP-based approximation method for goal constrained multi-MAV planning under action uncertainty.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Multi-robot Informative and Adaptive Planning for Persistent Environmental Monitoring.
Proceedings of the Distributed Autonomous Robotic Systems, 2016

An adaptive k-opt method for solving traveling salesman problem.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Communication constrained task allocation with optimized local task swaps.
Auton. Robots, 2015

2014
From selfish auctioning to incentivized marketing.
Auton. Robots, 2014

Fully Decentralized Task Swaps with Optimized Local Searching.
Proceedings of the Robotics: Science and Systems X, 2014

Multi-Vehicle Adaptive Planning with Online Estimated Cost Due to Disturbance Forces.
Proceedings of the Intelligent Autonomous Systems 13, 2014

2013
Physically routing robots in a multi-robot network: Flexibility through a three-dimensional matching graph.
Int. J. Robotics Res., 2013

An anytime assignment algorithm: From local task swapping to global optimality.
Auton. Robots, 2013

Scalable Resource Aggregation Service of an ErlangOTP PaaS Platform.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

Optimal Market-based Multi-Robot Task Allocation via Strategic Pricing.
Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

2012
Large-scale multi-robot task allocation via dynamic partitioning and distribution.
Auton. Robots, 2012

Tackling task allocation uncertainty via a combinatorial method.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2012

A Distributable and Computation-flexible Assignment Algorithm: From Local Task Swapping to Global Optimality.
Proceedings of the Robotics: Science and Systems VIII, 2012

An efficient distributed topo-geometric spatial density estimation method for multi-robot systems.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Tunable routing solutions for multi-robot navigation via the assignment problem: A 3D representation of the matching graph.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Multi-Robot Formation Morphing through a Graph Matching Problem.
Proceedings of the Distributed Autonomous Robotic Systems, 2012

2011
Assessing optimal assignment under uncertainty: An interval-based algorithm.
Int. J. Robotics Res., 2011

HDX-Analyzer: a novel package for statistical analysis of protein structure dynamics.
BMC Bioinform., 2011

Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation.
Proceedings of the Robotics: Science and Systems VII, 2011

Approximate characterization of multi-robot swarm "shapes" in sublinear-time.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2010
Enzyme structure dynamics of xylanase I from Trichoderma longibrachiatum.
BMC Bioinform., 2010

2009
Design and Implementation of Network Resource Management System Based on SNMP.
Proceedings of the 9th International Conference on Hybrid Intelligent Systems (HIS 2009), 2009


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