Abdeslam Boularias

収録論文 48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

• Foresight Residual RL for Long-Horizon Robot Manipulation with Vision-Language-Action Models
  2026/7/17
• Foresight Residual RL for Long-Horizon Robot Manipulation with Vision-Language-Action Models
  2026/7/1
• Learning Visual Feature-Based World Models via Residual Latent Action
  2026/5/1
• Glove2Hand: Synthesizing Natural Hand-Object Interaction from Multi-Modal Sensing Gloves
  2026/3/1
• Bounding Distributional Shifts in World Modeling through Novelty Detection
  2025/8/1
• Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies
  2025/7/1
• KARL: Kalman-Filter Assisted Reinforcement Learner for Dynamic Object Tracking and Grasping
  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
• Motion Blender Gaussian Splatting for Dynamic Scene Reconstruction
  2025/3/1
• Autoregressive Action Sequence Learning for Robotic Manipulation
  2024/10/1
• DAP: Diffusion-based Affordance Prediction for Multi-modality Storage
  2024/9/1
• Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
  2024/7/1
• Bellman Diffusion Models
  2024/7/1
• A3VLM: Actionable Articulation-Aware Vision Language Model
  2024/6/1
• Scaling Manipulation Learning with Visual Kinematic Chain Prediction
  2024/6/1
• One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
  2024/5/1
• OVIR-3D: Open-Vocabulary 3D Instance Retrieval Without Training on 3D Data
  2023/11/1
• Context-Aware Entity Grounding with Open-Vocabulary 3D Scene Graphs
  2023/9/1
• LGMCTS: Language-Guided Monte-Carlo Tree Search for Executable Semantic Object Rearrangement
  2023/9/1
• Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
  2023/4/1
• Mono-STAR: Mono-camera Scene-level Tracking and Reconstruction
  2023/1/1
• Scene-level Tracking and Reconstruction without Object Priors
  2022/10/1
• Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs
  2022/9/1
• Parallel Monte Carlo Tree Search with Batched Rigid-body Simulations for Speeding up Long-Horizon Episodic Robot Planning
  2022/7/1
• USHER: Unbiased Sampling for Hindsight Experience Replay
  2022/7/1
• Learning Sensorimotor Primitives of Sequential Manipulation Tasks from Visual Demonstrations
  2022/3/1
• Interleaving Monte Carlo Tree Search and Self-Supervised Learning for Object Retrieval in Clutter
  2022/2/1
• Vision-driven Compliant Manipulation for Reliable, High-Precision Assembly Tasks
  2021/6/1
• Visual Foresight Trees for Object Retrieval from Clutter with Nonprehensile Rearrangement
  2021/5/1
• A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs
  2020/11/1
• DIPN: Deep Interaction Prediction Network with Application to Clutter Removal
  2020/11/1
• Model Identification and Control of a Low-Cost Wheeled Mobile Robot Using Differentiable Physics
  2020/9/1
• Learning Transition Models with Time-delayed Causal Relations
  2020/8/1
• A Probabilistic Model for Planar Sliding of Objects with Unknown Material Properties: Identification and Robust Planning
  2020/8/1
• Task-driven Perception and Manipulation for Constrained Placement of Unknown Objects
  2020/6/1
• Identifying Mechanical Models through Differentiable Simulations
  2020/5/1
• Learning to Slide Unknown Objects with Differentiable Physics Simulations
  2020/5/1
• Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects
  2019/10/1
• Object Rearrangement with Nested Nonprehensile Manipulation Actions
  2019/5/1
• Inferring 3D Shapes of Unknown Rigid Objects in Clutter through Inverse Physics Reasoning
  2019/3/1
• Tight Robot Packing in the Real World: A Complete Manipulation Pipeline with Robust Primitives
  2019/3/1
• Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter
  2018/6/1
• 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
• A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation
  2017/3/1
• Information-theoretic Model Identification and Policy Search using Physics Engines with Application to Robotic Manipulation
  2017/3/1