Panagiotis Tsiotras
収録論文 64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
- Conflict-Based Lazy Search for Fast Multi-Manipulator Planning2026/7/1
- Multi-Contact Force Estimation for Continuum Robots via Gaussian-Parameterized Factor Graphs2026/6/1
- GABI: Geometry-Aware Boundary Integration for Spacecraft Segmentation2026/6/1
- Uncertainty-driven 3D Gaussian Splatting Active Mapping via Anisotropic Visibility Field2026/5/1
- Lifted Schr\"odinger Bridges for Gaussian Mixture Endpoints: Projection Gaps and Path-Space Obstructions2026/5/1
- Collaborative Navigation and Exploration with $\beta$-Sparse Gaussian Processes2026/5/1
- Factor Graph-Based Shape Estimation for Continuum Robots via Magnus Expansion2026/4/1
- Distributed Event-Triggered Distance-Based Formation Control for Multi-Agent Systems2025/9/1
- Communication-Aware Map Compression for Online Path-Planning: A Rate-Distortion Approach2025/6/1
- Delayed Expansion AGT: Kinodynamic Planning with Application to Tractor-Trailer Parking2025/6/1
- HCOA*: Hierarchical Class-ordered A* for Navigation in Semantic Environments2025/5/1
- Communication-Aware Iterative Map Compression for Online Path-Planning2025/3/1
- Dual Control for Interactive Autonomous Merging with Model Predictive Diffusion2025/2/1
- Safe Beyond the Horizon: Efficient Sampling-based MPC with Neural Control Barrier Functions2025/2/1
- Factor Graph-Based Active SLAM for Spacecraft Proximity Operations2025/1/1
- Safety on the Fly: Constructing Robust Safety Filters via Policy Control Barrier Functions at Runtime2024/10/1
- Initialization of Monocular Visual Navigation for Autonomous Agents Using Modified Structure from Small Motion2024/9/1
- Residual Descent Differential Dynamic Game (RD3G) -- A Fast Newton Solver for Constrained General Sum Games2024/9/1
- Chance-Constrained Information-Theoretic Stochastic Model Predictive Control with Safety Shielding2024/8/1
- Neural Visibility Field for Uncertainty-Driven Active Mapping2024/6/1
- Multi-agent Task-Driven Exploration via Intelligent Map Compression and Sharing2024/3/1
- Beyond One Model Fits All: Ensemble Deep Learning for Autonomous Vehicles2023/12/1
- Active Learning with Dual Model Predictive Path-Integral Control for Interaction-Aware Autonomous Highway On-ramp Merging2023/10/1
- Communication-Aware Map Compression for Online Path-Planning2023/9/1
- Desensitization and Deception in Differential Games with Asymmetric Information2023/9/1
- LEA*: An A* Variant Algorithm with Improved Edge Efficiency for Robot Motion Planning2023/9/1
- Kinodynamic FMT* with Dimensionality Reduction Heuristics and Neural Network Controllers2023/6/1
- KARNet: Kalman Filter Augmented Recurrent Neural Network for Learning World Models in Autonomous Driving Tasks2023/5/1
- IBBT: Informed Batch Belief Trees for Motion Planning Under Uncertainty2023/4/1
- Non-Trivial Query Sampling For Efficient Learning To Plan2023/3/1
- Shield Model Predictive Path Integral: A Computationally Efficient Robust MPC Approach Using Control Barrier Functions2023/2/1
- Deep Monocular Hazard Detection for Safe Small Body Landing2023/1/1
- AstroSLAM: Autonomous Monocular Navigation in the Vicinity of a Celestial Small Body -- Theory and Experiments2022/12/1
- Lazy Incremental Search for Efficient Replanning with Bounded Suboptimality Guarantees2022/10/1
- Information-theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning2022/9/1
- Risk-Aware Model Predictive Path Integral Control Using Conditional Value-at-Risk2022/9/1
- A Linear Programming Approach for Resource-Aware Information-Theoretic Tree Abstractions2022/8/1
- AstroVision: Towards Autonomous Feature Detection and Description for Missions to Small Bodies Using Deep Learning2022/8/1
- CBS-Budget (CBSB): A Complete and Bounded Suboptimal Search for Multi-Agent Path Finding2022/6/1
- CARNet: A Dynamic Autoencoder for Learning Latent Dynamics in Autonomous Driving Tasks2022/5/1
- Simultaneous Control and Trajectory Estimation for Collision Avoidance of Autonomous Robotic Spacecraft Systems2022/4/1
- Batch Belief Trees for Motion Planning Under Uncertainty2021/10/1
- Trajectory Distribution Control for Model Predictive Path Integral Control using Covariance Steering2021/9/1
- Accelerating Kinodynamic RRT* Through Dimensionality Reduction2021/7/1
- Lazy Lifelong Planning for Efficient Replanning in Graphs with Expensive Edge Evaluation2021/5/1
- Belief Space Planning: A Covariance Steering Approach2021/5/1
- Value Function Estimators for Feynman-Kac Forward-Backward SDEs in Stochastic Optimal Control2021/3/1
- LES: Locally Exploitative Sampling for Robot Path Planning2021/2/1
- Information-Theoretic Abstractions for Resource-Constrained Agents via Mixed-Integer Linear Programming2021/2/1
- A Generalized A* Algorithm for Finding Globally Optimal Paths in Weighted Colored Graphs2020/12/1
- Forward-Backward Rapidly-Exploring Random Trees for Stochastic Optimal Control2020/6/1
- Apollonius Allocation Algorithm for Heterogeneous Pursuers to Capture Multiple Evaders2020/6/1
- Information-Theoretic Abstractions for Planning in Agents with Computational Constraints2020/5/1
- TIE: Time-Informed Exploration For Robot Motion Planning2020/4/1
- GPU Parallelization of Policy Iteration RRT#2020/3/1
- Safe Optimal Control under Parametric Uncertainties2020/2/1
- Relevant Region Exploration On General Cost-maps For Sampling-Based Motion Planning2019/10/1
- Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations2019/10/1
- Vision-Based Autonomous Vehicle Control using the Two-Point Visual Driver Control Model2019/10/1
- AutoRally An open platform for aggressive autonomous driving2018/6/1
- Incremental Sampling-based Motion Planners Using Policy Iteration Methods2016/9/1
- Sampling-based Algorithms for Optimal Motion Planning Using Closed-loop Prediction2016/1/1
- Information-Theoretic Stochastic Optimal Control via Incremental Sampling-based Algorithms2014/5/1
- The Role of Vertex Consistency in Sampling-based Algorithms for Optimal Motion Planning2012/4/1