Aleksandr Panov

収録論文 15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

• Causal Object-Centric Models for Planning with Monte Carlo Tree Search
  2026/6/1
• Knowledge-Guided Manipulation Using Multi-Task Reinforcement Learning
  2026/3/1
• Object-Centric World Models Meet Monte Carlo Tree Search
  2026/1/1
• CoRL-MPPI: Enhancing MPPI With Learnable Behaviours For Efficient And Provably-Safe Multi-Robot Collision Avoidance
  2025/11/1
• OVSegDT: Segmenting Transformer for Open-Vocabulary Object Goal Navigation
  2025/8/1
• SGN-CIRL: Scene Graph-based Navigation with Curriculum, Imitation, and Reinforcement Learning
  2025/6/1
• M3PO: Massively Multi-Task Model-Based Policy Optimization
  2025/6/1
• TOCALib: Optimal control library with interpolation for bimanual manipulation and obstacles avoidance
  2025/4/1
• Dynamic Neural Potential Field: Online Trajectory Optimization in the Presence of Moving Obstacles
  2024/10/1
• Maneuver Decision-Making with Trajectory Streams Prediction for Autonomous Vehicles
  2024/9/1
• Safe Policy Exploration Improvement via Subgoals
  2024/8/1
• Interactive Semantic Map Representation for Skill-based Visual Object Navigation
  2023/11/1
• Neural Potential Field for Obstacle-Aware Local Motion Planning
  2023/10/1
• Evaluation of Safety Constraints in Autonomous Navigation with Deep Reinforcement Learning
  2023/7/1
• Policy Optimization to Learn Adaptive Motion Primitives in Path Planning with Dynamic Obstacles
  2022/12/1