Lantao Liu
収録論文 57本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- Safe Overtaking for Autonomous Racing Using Hierarchical Optimization and Learning-Based Control2026/7/1
- Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization2026/5/1
- Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration2026/5/1
- LPV-MPC for Lateral Control in Full-Scale Autonomous Racing2026/3/1
- Seeing Where to Deploy: Metric RGB-Based Traversability Analysis for Aerial-to-Ground Hidden Space Inspection2026/3/1
- MiniUGV$_2$: A Compact UAV-Deployable Tracked Ground Vehicle with Manipulation Capabilities2026/3/1
- From Zero to High-Speed Racing: An Autonomous Racing Stack2025/12/1
- Navigating the Wild: Pareto-Optimal Visual Decision-Making in Image Space2025/11/1
- Minimalistic Autonomous Stack for High-Speed Time-Trial Racing2025/9/1
- Learning Causal Structure Distributions for Robust Planning2025/8/1
- ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real2025/6/1
- Situationally-Aware Dynamics Learning2025/5/1
- Neural Fidelity Calibration for Informative Sim-to-Real Adaptation2025/4/11
- Action Flow Matching for Continual Robot Learning2025/4/1
- Neural Fidelity Calibration for Informative Sim-to-Real Adaptation2025/4/1
- Chance-Constrained Sampling-Based MPC for Collision Avoidance in Uncertain Dynamic Environments2025/1/1
- Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation2024/10/1
- Context-Generative Default Policy for Bounded Rational Agent2024/9/1
- Visual-Geometry GP-based Navigable Space for Autonomous Navigation2024/7/1
- POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering2024/6/1
- Gaussian Process-based Traversability Analysis for Terrain Mapless Navigation2024/3/1
- Boundary-Aware Value Function Generation for Safe Stochastic Motion Planning2024/3/1
- Autonomous Mapless Navigation on Uneven Terrains2024/2/1
- POVNav: A Pareto-Optimal Mapless Visual Navigator2023/10/1
- GP-Frontier for Local Mapless Navigation2023/7/1
- GP-guided MPPI for Efficient Navigation in Complex Unknown Cluttered Environments2023/7/1
- Coordination of Bounded Rational Drones through Informed Prior Policy2023/7/1
- Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes2023/6/1
- Towards Efficient MPPI Trajectory Generation with Unscented Guidance: U-MPPI Control Strategy2023/6/1
- Long-Term Autonomous Ocean Monitoring with Streaming Samples2023/6/1
- Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning2023/6/1
- Light-Weight Pointcloud Representation with Sparse Gaussian Process2023/1/1
- Decision-Making Among Bounded Rational Agents2022/10/1
- Causal Inference for De-biasing Motion Estimation from Robotic Observational Data2022/10/1
- UAV-miniUGV Hybrid System for Hidden Area Exploration and Manipulation2022/9/1
- AK: Attentive Kernel for Information Gathering2022/5/1
- CALI: Coarse-to-Fine ALIgnments Based Unsupervised Domain Adaptation of Traversability Prediction for Deployable Autonomous Navigation2022/4/1
- Autonomous Navigation of AGVs in Unknown Cluttered Environments: log-MPPI Control Strategy2022/3/1
- Model-Agnostic Multi-Agent Perception Framework2022/3/1
- NSS-VAEs: Generative Scene Decomposition for Visual Navigable Space Construction2021/11/1
- Polyline Generative Navigable Space Segmentation for Autonomous Visual Navigation2021/11/1
- Informative Planning in the Presence of Outliers2021/11/1
- Multi-Objective Autonomous Exploration on Real-Time Continuous Occupancy Maps2021/11/1
- Efficient Map Prediction via Low-Rank Matrix Completion2021/11/1
- Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning2021/11/1
- Kernel-based diffusion approximated Markov decision processes for autonomous navigation and control on unstructured terrains2021/11/1
- Swarming of Aerial Robots with Markov Random Field Optimization2020/10/1
- Online Planning in Uncertain and Dynamic Environment in the Presence of Multiple Mobile Vehicles2020/9/1
- Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes2020/6/1
- Reachable Space Characterization of Markov Decision Processes with Time Variability2019/5/1
- State-Continuity Approximation of Markov Decision Processes via Finite Element Methods for Autonomous System Planning2019/3/1
- Creating Navigable Space from Sparse Noisy Map Points2019/3/1
- Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times2019/1/1
- Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation2018/3/1
- Data-Driven Learning and Planning for Environmental Sampling2017/2/1
- Informative Planning and Online Learning with Sparse Gaussian Processes2016/9/1
- A Solution to Time-Varying Markov Decision Processes2016/5/1