M. Ani Hsieh
収録論文 34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
- Flatness-Preserving Residual Learning for Real-Time Tight Quadrotor Formation Flight2026/7/1
- Neural Navigation Functions for Zero-Shot Generalizable Motion Planning2026/6/1
- Multi-robot Multi-source Localization in Complex Flows with Physics-Preserving Environment Models2025/9/1
- KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning2025/9/1
- Online Adaptation for Flying Quadrotors in Tight Formations2025/6/1
- Air-Ground Collaboration for Language-Specified Missions in Unknown Environments2025/5/1
- Deploying Foundation Model-Enabled Air and Ground Robots in the Field: Challenges and Opportunities2025/5/1
- EnKode: Active Learning of Unknown Flows with Koopman Operators2024/10/1
- Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control2024/10/1
- Collision-free time-optimal path parameterization for multi-robot teams2024/9/1
- EvMAPPER: High Altitude Orthomapping with Event Cameras2024/9/1
- Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots2024/8/1
- Challenges and Opportunities for Large-Scale Exploration with Air-Ground Teams using Semantics2024/5/1
- Towards Understanding Underwater Weather Events in Rivers Using Autonomous Surface Vehicles2023/12/1
- TOPPQuad: Dynamically-Feasible Time Optimal Path Parametrization for Quadrotors2023/9/1
- Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications2023/9/1
- Enhancing Sample Efficiency and Uncertainty Compensation in Learning-based Model Predictive Control for Aerial Robots2023/8/1
- Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes2023/4/1
- EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks2023/4/1
- Online Estimation of the Koopman Operator Using Fourier Features2022/12/1
- Stochastic Nonlinear Ensemble Modeling and Control for Robot Team Environmental Monitoring2022/12/1
- Receding Horizon Control on the Broadcast of Information in Stochastic Networks2022/12/1
- Proportional Control for Stochastic Regulation on Allocation of Multi-Robots2022/12/1
- Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles2022/11/1
- LEARNEST: LEARNing Enhanced Model-based State ESTimation for Robots using Knowledge-based Neural Ordinary Differential Equations2022/9/1
- Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR)2022/8/1
- MARLAS: Multi Agent Reinforcement Learning for cooperated Adaptive Sampling2022/7/1
- Online Dynamics Learning for Predictive Control with an Application to Aerial Robots2022/7/1
- Flow-Based Control of Marine Robots in Gyre-Like Environments2022/3/1
- Learning and Leveraging Features in Flow-Like Environments to Improve Situational Awareness2021/9/1
- KNODE-MPC: A Knowledge-based Data-driven Predictive Control Framework for Aerial Robots2021/9/1
- Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations2021/9/1
- Scalable Multirobot Planning for Informed Spatial Sampling2021/5/1
- Heterogeneous robot teams for modeling and prediction of multiscale environmental processes2021/3/1