Alejandro Ribeiro
収録論文 31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
- MAST: Multi-Agent Spatial Transformer for Learning to Collaborate2025/9/1
- Scalable Multi Agent Diffusion Policies for Coverage Control2025/9/1
- Distilling On-device Language Models for Robot Planning with Minimal Human Intervention2025/6/1
- Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning2024/9/1
- LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control2024/1/1
- Navigation with shadow prices to optimize multi-commodity flow rates2023/9/1
- A Scalable Multi-Robot Framework for Decentralized and Asynchronous Perception-Action-Communication Loops2023/9/1
- Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles2023/8/1
- A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand2023/6/1
- Active Collaborative Localization in Heterogeneous Robot Teams2023/5/1
- Learning Connectivity-Maximizing Network Configurations2021/12/1
- Coverage Control in Multi-Robot Systems via Graph Neural Networks2021/9/1
- Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks2021/6/1
- Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection2021/5/1
- Composable Learning with Sparse Kernel Representations2021/3/1
- Learning Connectivity for Data Distribution in Robot Teams2021/3/1
- State Augmented Constrained Reinforcement Learning: Overcoming the Limitations of Learning with Rewards2021/2/1
- Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients2021/2/1
- Sufficiently Accurate Model Learning for Planning2021/2/1
- ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators2021/1/1
- Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks2020/11/1
- Graph Neural Networks for Motion Planning2020/6/1
- Mobile Wireless Network Infrastructure on Demand2020/2/1
- Graph Neural Networks for Decentralized Multi-Robot Path Planning2019/12/1
- Source Seeking in Unknown Environments with Convex Obstacles2019/9/1
- Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints2019/9/1
- Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints2019/7/1
- Graph Policy Gradients for Large Scale Robot Control2019/7/1
- Inverse Optimal Planning for Air Traffic Control2019/3/1
- Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks2019/3/1
- Learning Sample-Efficient Target Reaching for Mobile Robots2018/3/1