Amanda Prorok
収録論文 62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
- World-Task Factorization for Robot Learning2026/6/1
- Differentiable Environment-Trajectory Co-Optimization for Safe Multi-Agent Navigation2026/4/1
- Wake Up to the Past: Using Memory to Model Fluid Wake Effects on Robots2026/3/1
- From Vision to Decision: Neuromorphic Control for Autonomous Navigation and Tracking2026/2/1
- db-LaCAM: Fast and Scalable Multi-Robot Kinodynamic Motion Planning with Discontinuity-Bounded Search and Lightweight MAPF2025/12/1
- Remotely Detectable Robot Policy Watermarking2025/12/1
- Graph Attention-Guided Search for Dense Multi-Agent Pathfinding2025/10/1
- Prompting Robot Teams with Natural Language2025/9/1
- LF: Online Multi-Robot Path Planning Meets Optimal Trajectory Control2025/7/1
- ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination2025/7/1
- DVM-SLAM: Decentralized Visual Monocular Simultaneous Localization and Mapping for Multi-Agent Systems2025/3/1
- D4orm: Multi-Robot Trajectories with Dynamics-aware Diffusion Denoised Deformations2025/3/1
- Distributed Coverage Control for Time-Varying Spatial Processes2025/2/1
- Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling2024/10/1
- A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms2024/8/1
- Language-Conditioned Offline RL for Multi-Robot Navigation2024/7/1
- The Cambridge RoboMaster: An Agile Multi-Robot Research Platform2024/5/1
- Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning2024/5/1
- CoViS-Net: A Cooperative Visual Spatial Foundation Model for Multi-Robot Applications2024/5/1
- Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation2024/3/1
- Generalising Multi-Agent Cooperation through Task-Agnostic Communication2024/3/1
- Modeling Aggregate Downwash Forces for Dense Multirotor Flight2023/12/1
- Docking Multirotors in Close Proximity using Learnt Downwash Models2023/11/1
- System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning2023/5/1
- Constrained Environment Optimization for Prioritized Multi-Agent Navigation2023/5/1
- LQR-CBF-RRT*: Safe and Optimal Motion Planning2023/4/1
- POPGym: Benchmarking Partially Observable Reinforcement Learning2023/3/1
- Online Control Barrier Functions for Decentralized Multi-Agent Navigation2023/3/1
- Heterogeneous Multi-Robot Reinforcement Learning2023/1/1
- Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality2023/1/1
- Environment Optimization for Multi-Agent Navigation2022/9/1
- See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation2022/8/1
- On the properties of path additions for traffic routing2022/7/1
- VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning2022/7/1
- A Critical Review of Communications in Multi-Robot Systems2022/6/1
- A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies2021/11/1
- Explanation-Aware Experience Replay in Rule-Dense Environments2021/9/1
- Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems2021/9/1
- Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution2021/7/1
- The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts2021/7/1
- Graph Convolutional Memory using Topological Priors2021/6/1
- Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection2021/5/1
- Learning to Fly -- a Gym Environment with PyBullet Physics for Reinforcement Learning of Multi-agent Quadcopter Control2021/3/1
- ModGNN: Expert Policy Approximation in Multi-Agent Systems with a Modular Graph Neural Network Architecture2021/3/1
- Pursuer Assignment and Control Strategies in Multi-agent Pursuit-Evasion Under Uncertainties2021/3/1
- Fair Robust Assignment using Redundancy2021/2/1
- Gaussian Process Based Message Filtering for Robust Multi-Agent Cooperation in the Presence of Adversarial Communication2020/12/1
- Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning2020/11/1
- The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning2020/8/1
- Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning2020/5/1
- Effects of Controller Heterogeneity on Autonomous Vehicle Traffic2020/5/1
- Graph Neural Networks for Decentralized Multi-Robot Path Planning2019/12/1
- Multi-Vehicle Mixed-Reality Reinforcement Learning for Autonomous Multi-Lane Driving2019/11/1
- Culture-Based Explainable Human-Agent Deconfliction2019/11/1
- An Adversarial Approach to Private Flocking in Mobile Robot Teams2019/9/1
- Multi-Robot Path Deconfliction through Prioritization by Path Prospects2019/8/1
- A Fleet of Miniature Cars for Experiments in Cooperative Driving2019/2/1
- Redundant Robot Assignment on Graphs with Uncertain Edge Costs2018/10/1
- Graph Neural Networks for Learning Robot Team Coordination2018/5/1
- Resilient Assignment Using Redundant Robots on Transport Networks with Uncertain Travel Time2018/4/1
- Privacy-Preserving Vehicle Assignment for Mobility-on-Demand Systems2017/3/1
- A Macroscopic Model for Differential Privacy in Dynamic Robotic Networks2017/3/1