Alberto Dalla Libera
University of Padova
収録論文 20本 ・ フィジカルAI/ロボット学習
水中ロボット/計画・制御
※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
- 閉鎖環境における水中ビークル・マニピュレータシステムの階層的トポロジー認識計画と制御水中ロボット/計画・制御2026/8/9
水中ロボットアーム(UVMS)が狭く障害物の多い環境で作業するための、3層の階層的計画・制御フレームワークを提案。通路の接続性、操作可能性、実行の安定性を考慮し、シミュレーションで高い成功率を達成した。
- Hierarchical Topology-Aware Planning and Control of Underwater Vehicle-Manipulator Systems in Confined Environments2026/8/1
- A Robust Controller based on Gaussian Processes for Robotic Manipulators with Unknown Uncertainty2025/7/1
- Accelerating Model-Based Reinforcement Learning using Non-Linear Trajectory Optimization2025/6/1
- Learning global control of underactuated systems with Model-Based Reinforcement Learning2025/4/1
- Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models2025/3/1
- Reinforcement Learning for Robust Athletic Intelligence: Lessons from the 2nd 'AI Olympics with RealAIGym' Competition2025/3/1
- Data efficient Robotic Object Throwing with Model-Based Reinforcement Learning2025/2/1
- Learning control of underactuated double pendulum with Model-Based Reinforcement Learning2024/9/1
- Adaptive Robust Controller for handling Unknown Uncertainty of Robotic Manipulators2024/6/1
- A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification2023/10/1
- Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning2023/7/1
- Learning Control from Raw Position Measurements2023/1/1
- Control of Mechanical Systems via Feedback Linearization Based on Black-Box Gaussian Process Models2021/4/1
- Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application2021/1/1
- Model-based Policy Search for Partially Measurable Systems2021/1/1
- Model-Based Reinforcement Learning for Physical Systems Without Velocity and Acceleration Measurements2020/2/1
- A data-efficient geometrically inspired polynomial kernel for robot inverse dynamics2019/4/1
- Robot kinematic structure classification from time series of visual data2019/3/1
- Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze2018/9/1