Daniel Nikovski

収録論文 20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

• Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning
  2023/7/1
• Learning Object Manipulation With Under-Actuated Impulse Generator Arrays
  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
• 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
• Imitation and Supervised Learning of Compliance for Robotic Assembly
  2021/11/1
• 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 for Partially Measurable Systems
  2021/1/1
• Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application
  2021/1/1
• Data-Efficient Learning for Complex and Real-Time Physical Problem Solving using Augmented Simulation
  2020/11/1
• Deep Reactive Planning in Dynamic Environments
  2020/11/1
• Understanding Multi-Modal Perception Using Behavioral Cloning for Peg-In-a-Hole Insertion Tasks
  2020/7/1
• Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
  2020/3/1
• 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
• Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control
  2019/10/1
• Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning
  2019/3/1
• Semiparametrical Gaussian Processes Learning of Forward Dynamical Models for Navigating in a Circular Maze
  2018/9/1