P. Michael Furlong

According to our database1, P. Michael Furlong authored at least 23 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
A Recurrent Dynamic Model for Efficient Bayesian Optimization<sup>*</sup>.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024

Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2022
Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

2021
Human-Aware Reinforcement Learning for Fault Recovery Using Contextual Gaussian Processes.
J. Aerosp. Inf. Syst., July, 2021

Continuous then discrete: A recommendation for building robotic brains.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics.
CoRR, 2020

Advancing the Scientific Frontier with Increasingly Autonomous Systems.
CoRR, 2020

Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Everybody Needs Somebody Sometimes: Validation of Adaptive Recovery in Robotic Space Operations.
IEEE Robotics Autom. Lett., 2019

Multi-modal active perception for information gathering in science missions.
Auton. Robots, 2019

Belief Space Planning for Reducing Terrain Relative Localization Uncertainty in Noisy Elevation Maps.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Foraging, Prospecting, and Falsification - Improving Three Aspects of Autonomous Science.
PhD thesis, 2018

Failure is Not an Option: Policy Learning for Adaptive Recovery in Space Operations.
IEEE Robotics Autom. Lett., 2018

2017
Online Multi-modal Learning and Adaptive Informative Trajectory Planning for Autonomous Exploration.
Proceedings of the Field and Service Robotics, 2017

Adaptive Sample Selection for Hypothesis Falsification.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Safeguarding a lunar rover with Wald's sequential probability ratio test.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Spatio-Spectral Exploration Combining In Situ and Remote Measurements.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Dissociable contributions of ventromedial prefrontal and posterior parietal cortex to value-guided choice.
NeuroImage, 2014

Science Autonomy for Rover Subsurface Exploration of the Atacama Desert.
AI Mag., 2014

Sequential allocation of sampling budgets in unknown environments.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2013
Adaptive sensing of time series with application to remote exploration.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Multi-armed recommendation bandits for selecting state machine policies for robotic systems.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2009
Model Predictive Control for Mobile Robots with Actively Reconfigurable Chassis.
Proceedings of the Field and Service Robotics, Results of the 7th International Conference, 2009


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