Diego Romeres

収録論文 43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

• FurnitureVLA: Learning Long-Horizon Bimanual Furniture Assembly with Vision-Language-Action Model
  2026/7/1
• PPGuide: Steering Diffusion Policies with Performance Predictive Guidance
  2026/3/1
• Embedding Morphology into Transformers for Cross-Robot Policy Learning
  2026/3/1
• Embedding Morphology into Transformers for Cross-Robot Policy Learning
  2026/2/26
• Robot Confirmation Generation and Action Planning Using Long-context Q-Former Integrated with Multimodal LLM
  2025/11/1
• Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations
  2025/8/1
• Learning global control of underactuated systems with Model-Based Reinforcement Learning
  2025/4/1
• Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition
  2025/3/1
• FDPP: Fine-tune Diffusion Policy with Human Preference
  2025/1/1
• LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines
  2024/11/1
• RecoveryChaining: Learning Local Recovery Policies for Robust Manipulation
  2024/10/1
• Open Human-Robot Collaboration using Decentralized Inverse Reinforcement Learning
  2024/10/1
• Learning control of underactuated double pendulum with Model-Based Reinforcement Learning
  2024/9/1
• DECAF: a Discrete-Event based Collaborative Human-Robot Framework for Furniture Assembly
  2024/8/1
• Autonomous Robotic Assembly: From Part Singulation to Precise Assembly
  2024/6/1
• Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection
  2023/12/1
• Interactive Planning Using Large Language Models for Partially Observable Robotics Tasks
  2023/12/1
• A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification
  2023/10/1
• Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning
  2023/7/1
• Learning Generalizable Pivoting Skills
  2023/5/1
• Simultaneous Tactile Estimation and Control of Extrinsic Contact
  2023/3/1
• Learning Control from Raw Position Measurements
  2023/1/1
• Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control
  2022/12/1
• Active Exploration for Robotic Manipulation
  2022/10/1
• Constrained Dynamic Movement Primitives for Safe Learning of Motor Skills
  2022/9/1
• Design of Adaptive Compliance Controllers for Safe Robotic Assembly
  2022/4/1
• Robust Pivoting: Exploiting Frictional Stability Using Bilevel Optimization
  2022/3/1
• PYROBOCOP: Python-based Robotic Control & Optimization Package for Manipulation
  2022/3/1
• Chance-Constrained Optimization in Contact-Rich Systems for Robust Manipulation
  2022/3/1
• Imitation and Supervised Learning of Compliance for Robotic Assembly
  2021/11/1
• Trajectory Optimization for Manipulation of Deformable Objects: Assembly of Belt Drive Units
  2021/6/1
• PYROBOCOP : Python-based Robotic Control & Optimization Package for Manipulation and Collision Avoidance
  2021/6/1
• Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models
  2021/4/1
• Tactile-RL for Insertion: Generalization to Objects of Unknown Geometry
  2021/4/1
• Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
  2021/1/1
• Model-based Policy Search for Partially Measurable Systems
  2021/1/1
• Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation
  2020/11/1
• Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks
  2020/7/1
• Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements
  2020/2/1
• Local Policy Optimization for Trajectory-Centric Reinforcement Learning
  2020/1/1
• Quasi-Newton Trust Region Policy Optimization
  2019/12/1
• Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control
  2019/10/1
• Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
  2018/9/1