Kostas E. Bekris

収録論文 45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

• An Open-Source, Reproducible Tensegrity Robot that can Navigate Among Obstacles
  2025/11/1
• Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success
  2025/6/1
• Learning to Optimize Package Picking for Large-Scale, Real-World Robot Induction
  2025/6/1
• PROBE: Proprioceptive Obstacle Detection and Estimation while Navigating in Clutter
  2025/5/1
• Integrating Model-based Control and RL for Sim2Real Transfer of Tight Insertion Policies
  2025/5/1
• Kinodynamic Trajectory Following with STELA: Simultaneous Trajectory Estimation & Local Adaptation
  2025/4/1
• The State of Robot Motion Generation
  2024/10/1
• ${\tt KRAFT}$: Sampling-Based Kinodynamic Replanning and Feedback Control over Approximate, Identified Models of Vehicular Systems
  2024/9/1
• Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics
  2023/10/1
• ${\tt MORALS}$: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space
  2023/10/1
• Resolution Complete In-Place Object Retrieval given Known Object Models
  2023/3/1
• A Survey on the Integration of Machine Learning with Sampling-based Motion Planning
  2022/11/1
• Effective and Robust Non-Prehensile Manipulation via Persistent Homology Guided Monte-Carlo Tree Search
  2022/10/1
• Data-Efficient Characterization of the Global Dynamics of Robot Controllers with Confidence Guarantees
  2022/10/1
• Persistent Homology for Effective Non-Prehensile Manipulation
  2022/2/1
• Morse Graphs: Topological Tools for Analyzing the Global Dynamics of Robot Controllers
  2022/2/1
• Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation
  2022/1/1
• Improving Kinodynamic Planners for Vehicular Navigation with Learned Goal-Reaching Controllers
  2021/10/1
• Efficient and High-quality Prehensile Rearrangement in Cluttered and Confined Spaces
  2021/10/1
• Fast High-Quality Tabletop Rearrangement in Bounded Workspace
  2021/10/1
• Uniform Object Rearrangement: From Complete Monotone Primitives to Efficient Non-Monotone Informed Search
  2021/1/1
• Safe and Effective Picking Paths in Clutter given Discrete Distributions of Object Poses
  2020/8/1
• se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
  2020/7/1
• Synchronized Multi-Arm Rearrangement Guided by Mode Graphs with Capacity Constraints
  2020/5/1
• Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands
  2020/3/1
• Asymptotically Optimal Sampling-based Planners
  2019/11/1
• Refined Analysis of Asymptotically-Optimal Kinodynamic Planning in the State-Cost Space
  2019/9/1
• Towards Learning Efficient Maneuver Sets for Kinodynamic Motion Planning
  2019/7/1
• Anytime Multi-arm Task and Motion Planning for Pick-and-Place of Individual Objects via Handoffs
  2019/5/1
• Pushing the Boundaries of Asymptotic Optimality in Integrated Task and Motion Planning
  2019/3/1
• Tight Robot Packing in the Real World: A Complete Manipulation Pipeline with Robust Primitives
  2019/3/1
• dRRT*: Scalable and Informed Asymptotically-Optimal Multi-Robot Motion Planning
  2019/3/1
• Probabilistic completeness of RRT for geometric and kinodynamic planning with forward propagation
  2018/9/1
• Adaptive Tensegrity Locomotion on Rough Terrain via Reinforcement Learning
  2018/9/1
• Efficient Model Identification for Tensegrity Locomotion
  2018/4/1
• Fast Model Identification via Physics Engines for Data-Efficient Policy Search
  2017/10/1
• Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search
  2017/10/1
• Scalable Asymptotically-Optimal Multi-Robot Motion Planning
  2017/6/1
• Efficient, High-Quality Stack Rearrangement
  2017/6/1
• High-Quality Tabletop Rearrangement with Overhand Grasps: Hardness Results and Fast Methods
  2017/5/1
• A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation
  2017/3/1
• Analysis and Observations from the First Amazon Picking Challenge
  2016/1/1
• A Dataset for Improved RGBD-based Object Detection and Pose Estimation for Warehouse Pick-and-Place
  2015/9/1
• Asymptotically Optimal Sampling-based Kinodynamic Planning
  2014/7/1
• Sampling-based Roadmap Planners are Probably Near-Optimal after Finite Computation
  2014/4/1