Nisar R. Ahmed
Orcid: 0000-0002-7555-5671
According to our database1,
Nisar R. Ahmed
authored at least 85 papers
between 2008 and 2024.
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Bibliography
2024
IEEE Robotics Autom. Lett., January, 2024
IEEE Trans. Aerosp. Electron. Syst., 2024
CoRR, 2024
2023
IEEE Trans. Robotics, August, 2023
IEEE Trans. Robotics, August, 2023
IEEE Trans. Robotics, April, 2023
Exact Consistency Tests for Gaussian Mixture Filters using Normalized Deviation Squared Statistics.
CoRR, 2023
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Exploration with Uncertain Semantic Data.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Kalman Filter Auto-tuning through Enforcing Chi-Squared Normalized Error Distributions with Bayesian Optimization.
CoRR, 2023
AAAI 2022 Fall Symposium: Lessons Learned for Autonomous Assessment of Machine Abilities (LLAAMA).
CoRR, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
CoRR, 2022
CoRR, 2022
Investigating the Effects of Robot Proficiency Self-Assessment on Trust and Performance.
CoRR, 2022
Conservative Filtering for Heterogeneous Decentralized Data Fusion in Dynamic Robotic Systems.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
"I'mConfident This Will End Poorly": Robot Proficiency Self-Assessment in Human-Robot Teaming.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the American Control Conference, 2022
2021
Human-Aware Reinforcement Learning for Fault Recovery Using Contextual Gaussian Processes.
J. Aerosp. Inf. Syst., July, 2021
Fully Bayesian Human-Machine Data Fusion for Robust Online Dynamic Target Characterization.
J. Aerosp. Inf. Syst., February, 2021
Robotics Auton. Syst., 2021
Semantic Sensing and Planning for Human-Robot Collaboration in Uncertain Environments.
CoRR, 2021
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2021
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
Proceedings of the 24th IEEE International Conference on Information Fusion, 2021
2020
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data.
CoRR, 2020
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems.
CoRR, 2020
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2020
Bayesian Fusion of Unlabeled Vision and RF Data for Aerial Tracking of Ground Targets.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
2019
Optimal Continuous State POMDP Planning With Semantic Observations: A Variational Approach.
IEEE Trans. Robotics, 2019
Robotics Auton. Syst., 2019
Everybody Needs Somebody Sometimes: Validation of Adaptive Recovery in Robotic Space Operations.
IEEE Robotics Autom. Lett., 2019
"Dave...I can assure you ...that it's going to be all right ..." A Definition, Case for, and Survey of Algorithmic Assurances in Human-Autonomy Trust Relationships.
ACM Comput. Surv., 2019
CoRR, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 22th International Conference on Information Fusion, 2019
Proceedings of the 22th International Conference on Information Fusion, 2019
Machine Self-confidence in Autonomous Systems via Meta-analysis of Decision Processes.
Proceedings of the Advances in Artificial Intelligence, Software and Systems Engineering, 2019
2018
J. Aerosp. Inf. Syst., July, 2018
Adaptive Simulation-Based Training of Artificial-Intelligence Decision Makers Using Bayesian Optimization.
J. Aerosp. Inf. Syst., February, 2018
IEEE Signal Process. Lett., 2018
IEEE Robotics Autom. Lett., 2018
CoRR, 2018
GPS-limited cooperative localization using scalable approximate decentralized data fusion.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2018
Proceedings of the 21st International Conference on Information Fusion, 2018
Closed-Loop Bayesian Semantic Data Fusion for Collaborative Human-Autonomy Target Search.
Proceedings of the 21st International Conference on Information Fusion, 2018
2017
Multitarget Localization on Road Networks with Hidden Markov Rao-Blackwellized Particle Filters.
J. Aerosp. Inf. Syst., 2017
Adaptive Simulation-based Training of AI Decision-makers using Bayesian Optimization.
CoRR, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Co-optimization of communication, sensing, and computation for information gathering using cloud computing.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
2016
CoRR, 2016
CoRR, 2016
Mutual Information based communication aware path planning: A game theoretic perspective.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016
Factorized covariance intersection for scalable partial state decentralized data fusion.
Proceedings of the 19th International Conference on Information Fusion, 2016
Structured synthesis and compression of semantic human sensor models for Bayesian estimation.
Proceedings of the 2016 American Control Conference, 2016
2015
Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2015
What's one mixture divided by another?: A unified approach to high-fidelity distributed data fusion with mixture models.
Proceedings of the 2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2015
Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, 2015
2014
A Look at Probabilistic Gaussian Process, Bayes Net, and Classifier Models for Prediction and Verification of Human Supervisory Performance.
Proceedings of the 2014 AAAI Spring Symposia, 2014
Enabling Robust Human-Robot Cooperation through Flexible Fully Bayesian Shared Sensing.
Proceedings of the 2014 AAAI Spring Symposia, 2014
2013
IEEE Trans. Robotics, 2013
CoRR, 2013
2012
IEEE Trans. Signal Process., 2012
Expert Syst. Appl., 2012
Proceedings of the Robotics: Science and Systems VIII, 2012
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012
2011
Variational Bayesian Learning of Probabilistic Discriminative Models With Latent Softmax Variables.
IEEE Trans. Signal Process., 2011
Categorical soft data fusion via variational Bayesian importance sampling with applications to cooperative search.
Proceedings of the American Control Conference, 2011
Variational learning of autoregressive Mixtures of Experts for fully Bayesian hybrid system identification.
Proceedings of the American Control Conference, 2011
2010
Variational Bayesian data fusion of multi-class discrete observations with applications to cooperative human-robot estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
2008
Proceedings of the American Control Conference, 2008