Mélodie Daniel

収録論文 6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

• DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties
  2026/6/1
• ManeuverNet: A Soft Actor-Critic Framework for Precise Maneuvering of Double-Ackermann-Steering Robots with Optimized Reward Functions
  2026/2/1
• Towards Safe Maneuvering of Double-Ackermann-Steering Robots with a Soft Actor-Critic Framework
  2025/10/1
• FRASA: An End-to-End Reinforcement Learning Agent for Fall Recovery and Stand Up of Humanoid Robots
  2024/10/1
• FootstepNet: an Efficient Actor-Critic Method for Fast On-line Bipedal Footstep Planning and Forecasting
  2024/3/1
• Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects
  2023/12/1