Miroslav Pajic

収録論文 22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

• fARfetch: Enabling Collocated AR-HRC in Large Visually Diverse Environments with VLM-Driven AR Content Adaptation
  2026/6/1
• Semantic Area Graph Reasoning for Multi-Robot Language-Guided Search
  2026/4/1
• LLaViDA: A Large Language Vision Driving Assistant for Explicit Reasoning and Enhanced Trajectory Planning
  2025/12/1
• COMRES-VLM: Coordinated Multi-Robot Exploration and Search using Vision Language Models
  2025/9/1
• RaGNNarok: A Light-Weight Graph Neural Network for Enhancing Radar Point Clouds on Unmanned Ground Vehicles
  2025/7/1
• MARS: Defending Unmanned Aerial Vehicles From Attacks on Inertial Sensors with Model-based Anomaly Detection and Recovery
  2025/5/1
• On the Uniqueness of Solution for the Bellman Equation of LTL Objectives
  2024/4/1
• Bayesian Methods for Trust in Collaborative Multi-Agent Autonomy
  2024/3/1
• RadCloud: Real-Time High-Resolution Point Cloud Generation Using Low-Cost Radars for Aerial and Ground Vehicles
  2024/3/1
• A Multi-Agent Security Testbed for the Analysis of Attacks and Defenses in Collaborative Sensor Fusion
  2024/1/1
• Datasets, Models, and Algorithms for Multi-Sensor, Multi-agent Autonomy Using AVstack
  2023/12/1
• Robust Reinforcement Learning through Efficient Adversarial Herding
  2023/6/1
• A Modular Platform For Collaborative, Distributed Sensor Fusion
  2023/3/1
• Stealthy Perception-based Attacks on Unmanned Aerial Vehicles
  2023/3/1
• AVstack: An Open-Source, Reconfigurable Platform for Autonomous Vehicle Development
  2022/12/1
• Reinforcement Learning with Temporal Logic Constraints for Partially-Observable Markov Decision Processes
  2021/4/1
• Model-Free Learning of Safe yet Effective Controllers
  2021/3/1
• Learning Optimal Strategies for Temporal Tasks in Stochastic Games
  2021/2/1
• Secure Planning Against Stealthy Attacks via Model-Free Reinforcement Learning
  2020/11/1
• Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives
  2020/10/1
• Hyperproperties for Robotics: Planning via HyperLTL
  2019/11/1
• Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
  2019/9/1