Arsalan Mousavian

収録論文 41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

• PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation
  2026/1/1
• VT-Refine: Learning Bimanual Assembly with Visuo-Tactile Feedback via Simulation Fine-Tuning
  2025/10/1
• Dexplore: Scalable Neural Control for Dexterous Manipulation from Reference-Scoped Exploration
  2025/9/1
• 3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation
  2025/8/1
• Slot-Level Robotic Placement via Visual Imitation from Single Human Video
  2025/4/1
• Cosmos World Foundation Model Platform for Physical AI
  2025/1/1
• DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning
  2024/10/1
• RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics
  2024/6/1
• M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place
  2023/11/1
• CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
  2023/4/1
• Constrained Generative Sampling of 6-DoF Grasps
  2023/2/1
• MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
  2022/12/1
• Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation
  2022/10/1
• ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
  2022/9/1
• Deep Learning Approaches to Grasp Synthesis: A Review
  2022/7/1
• IFOR: Iterative Flow Minimization for Robotic Object Rearrangement
  2022/2/1
• RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks
  2021/6/1
• NeRP: Neural Rearrangement Planning for Unknown Objects
  2021/6/1
• RGB-D Local Implicit Function for Depth Completion of Transparent Objects
  2021/4/1
• STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation
  2021/4/1
• Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections
  2021/3/1
• Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes
  2021/3/1
• Interpreting and Predicting Tactile Signals for the SynTouch BioTac
  2021/1/1
• ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
  2020/11/1
• Reactive Long Horizon Task Execution via Visual Skill and Precondition Models
  2020/11/1
• Reactive Human-to-Robot Handovers of Arbitrary Objects
  2020/11/1
• Object Rearrangement Using Learned Implicit Collision Functions
  2020/11/1
• Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds
  2020/10/1
• Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation
  2020/7/1
• Unseen Object Instance Segmentation for Robotic Environments
  2020/7/1
• Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework
  2020/6/1
• A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set
  2019/12/1
• LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
  2019/12/1
• 6-DOF Grasping for Target-driven Object Manipulation in Clutter
  2019/12/1
• Self-supervised 6D Object Pose Estimation for Robot Manipulation
  2019/9/1
• The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation
  2019/7/1
• 6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
  2019/5/1
• PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking
  2019/5/1
• Synthesizing Training Data for Object Detection in Indoor Scenes
  2017/2/1
• Multiview RGB-D Dataset for Object Instance Detection
  2016/9/1
• Semantic Image Based Geolocation Given a Map
  2016/9/1