Lydia E. Kavraki
収録論文 39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
- Fibration Trees: A Unified Approach to Multi-Robot Motion Planning2026/6/1
- Think Fast and Far: Long-Horizon Online POMDP Planning via Rapid State Sampling2026/6/1
- The Open Motion Planning Library 2.02026/5/1
- Sampling-Based Motion Planning with Scene Graphs Under Perception Constraints2026/3/1
- Ultrafast Sampling-based Kinodynamic Planning via Differential Flatness2026/3/1
- Python Bindings for a Large C++ Robotics Library: The Case of OMPL2026/3/1
- Using VLM Reasoning to Constrain Task and Motion Planning2025/10/1
- Look as You Leap: Planning Simultaneous Motion and Perception for High-DOF Robots2025/9/1
- Falsification of Autonomous Systems in Rich Environments2024/12/1
- Efficient Multi-Robot Motion Planning for Manifold-Constrained Manipulators by Randomized Scheduling and Informed Path Generation2024/12/1
- Nearest-Neighbourless Asymptotically Optimal Motion Planning with Fully Connected Informed Trees (FCIT*)2024/11/1
- Scaling Long-Horizon Online POMDP Planning via Rapid State Space Sampling2024/11/1
- Object-Centric Kinodynamic Planning for Nonprehensile Robot Rearrangement Manipulation2024/10/1
- CaStL: Constraints as Specifications through LLM Translation for Long-Horizon Task and Motion Planning2024/10/1
- Encoding Reusable Multi-Robot Planning Strategies as Abstract Hypergraphs2024/9/1
- Task and Motion Planning for Execution in the Real2024/6/1
- Collision-Affording Point Trees: SIMD-Amenable Nearest Neighbors for Fast Collision Checking2024/6/1
- Stochastic Games for Interactive Manipulation Domains2024/3/1
- Stochastic Implicit Neural Signed Distance Functions for Safe Motion Planning under Sensing Uncertainty2023/9/1
- Motions in Microseconds via Vectorized Sampling-Based Planning2023/9/1
- Sampling-Based Motion Planning: A Comparative Review2023/9/1
- Robots as AI Double Agents: Privacy in Motion Planning2023/8/1
- Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation2023/7/1
- The Planner Optimization Problem: Formulations and Frameworks2023/3/1
- Object Reconfiguration with Simulation-Derived Feasible Actions2023/2/1
- Kinodynamic Rapidly-exploring Random Forest for Rearrangement-Based Nonprehensile Manipulation2023/2/1
- Solving Rearrangement Puzzles using Path Defragmentation in Factored State Spaces2022/12/1
- Rearrangement-Based Manipulation via Kinodynamic Planning and Dynamic Planning Horizons2022/8/1
- Learning to Retrieve Relevant Experiences for Motion Planning2022/4/1
- MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets2021/12/1
- Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning2021/9/1
- KDF: Kinodynamic Motion Planning via Geometric Sampling-based Algorithms and Funnel Control2021/4/1
- Robowflex: Robot Motion Planning with MoveIt Made Easy2021/3/1
- Path Planning for Manipulation using Experience-driven Random Trees2021/3/1
- Learning Sampling Distributions Using Local 3D Workspace Decompositions for Motion Planning in High Dimensions2020/10/1
- How Much Do Unstated Problem Constraints Limit Deep Robotic Reinforcement Learning?2019/9/1
- Using Local Experiences for Global Motion Planning2019/3/1
- Bounded Policy Synthesis for POMDPs with Safe-Reachability Objectives2018/1/1
- An Extensible Benchmarking Infrastructure for Motion Planning Algorithms2014/12/1