Nisar Ahmed
収録論文 26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
- Beyond Fixed Goal Delivery: Online POMDP Planning for Target Interception in Crowds2026/7/1
- Multi-Objective Kinodynamic Motion Planning with Asymptotic Pareto Optimality2026/7/1
- Extended Version: Multi-Robot Motion Planning with Cooperative Localization2025/4/1
- Active Inference in Contextual Multi-Armed Bandits for Autonomous Robotic Exploration2024/8/1
- Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference2024/6/1
- Exact Consistency Tests for Gaussian Mixture Filters using Normalized Deviation Squared Statistics2023/12/1
- Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration2023/12/1
- Human-Centered Autonomy for UAS Target Search2023/9/1
- Kalman Filter Auto-tuning through Enforcing Chi-Squared Normalized Error Distributions with Bayesian Optimization2023/6/1
- Chance-Constrained Multi-Robot Motion Planning under Gaussian Uncertainties2023/3/1
- AAAI 2022 Fall Symposium: Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA)2023/1/1
- Chance-Constrained Motion Planning with Event-Triggered Estimation2022/10/1
- Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits2022/9/1
- Investigating the Effects of Robot Proficiency Self-Assessment on Trust and Performance2022/3/1
- Probabilistic Semantic Data Association for Collaborative Human-Robot Sensing2021/10/1
- HARPS: An Online POMDP Framework for Human-Assisted Robotic Planning and Sensing2021/10/1
- Kalman Filter Tuning with Bayesian Optimization2019/12/1
- Extrinisic Calibration of a Camera-Arm System Through Rotation Identification2018/12/1
- Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization2018/7/1
- Optimal Continuous State POMDP Planning with Semantic Observations: A Variational Approach2018/7/1
- Closed-loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search2018/6/1
- Cooperative Robot Localization Using Event-triggered Estimation2018/2/1
- Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization2017/3/1
- Hybrid Repeat/Multi-point Sampling for Highly Volatile Objective Functions2016/12/1
- Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots2016/12/1
- On Generalized Bayesian Data Fusion with Complex Models in Large Scale Networks2013/8/1