Marco Caccamo

収録論文 27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

• LyEvO: リアプノフ誘導進化最適化による安全で堅牢なSim-to-Realポリシー学習
  sim2real2026/8/6

  Lyapunov解析と制約付き進化最適化、統計的モデル検査を組み合わせ、シミュレーションから実世界への安全で堅牢なポリシー転送を実現するフレームワークを提案した。

• LyEvO: Lyapunov-Guided Evolutionary Optimization for Safe and Robust Sim-to-Real Policy Learning
  2026/8/1
• Safe Online Learning via Smooth Safety-Structured Policy Composition
  2026/6/1
• Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
  2026/3/1
• From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving
  2025/7/1
• Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
  2025/5/1
• Runtime Learning of Quadruped Robots in Wild Environments
  2025/3/1
• Physics-model-guided Worst-case Sampling for Safe Reinforcement Learning
  2024/12/1
• Simplex-enabled Safe Continual Learning Machine
  2024/9/1
• A Containerized Microservice Architecture for a ROS 2 Autonomous Driving Software: An End-to-End Latency Evaluation
  2024/4/1
• Equivariant Ensembles and Regularization for Reinforcement Learning in Map-based Path Planning
  2024/3/1
• RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing using Residual Policy Learning
  2024/3/1
• Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
  2024/2/1
• Learning to Recharge: UAV Coverage Path Planning through Deep Reinforcement Learning
  2023/9/1
• Efficient Learning of Urban Driving Policies Using Bird's-Eye-View State Representations
  2023/5/1
• Flexible Gear Assembly With Visual Servoing and Force Feedback
  2023/3/1
• Residual Policy Learning for Vehicle Control of Autonomous Racing Cars
  2023/2/1
• Perception Simplex: Verifiable Collision Avoidance in Autonomous Vehicles Amidst Obstacle Detection Faults
  2022/9/1
• Verifiable Obstacle Detection
  2022/8/1
• 6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic Grasping
  2022/8/1
• Cloud-Edge Training Architecture for Sim-to-Real Deep Reinforcement Learning
  2022/3/1
• Multi-Agent Belief Sharing through Autonomous Hierarchical Multi-Level Clustering
  2021/7/1
• Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles
  2021/6/1
• UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning
  2020/10/1
• Multi-UAV Path Planning for Wireless Data Harvesting with Deep Reinforcement Learning
  2020/10/1
• UAV Path Planning for Wireless Data Harvesting: A Deep Reinforcement Learning Approach
  2020/7/1
• UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning
  2020/3/1