Model Predictive Control for Mobile Robots with Actively Reconfigurable Chassis. - P. Michael Furlong; Thomas M. Howard; David Wettergreen (FSR, 2009)

Multi-armed recommendation bandits for selecting state machine policies for robotic systems. - Pyry Matikainen; P. Michael Furlong; Rahul Sukthankar; Martial Hebert (ICRA, 2013)

Adaptive sensing of time series with application to remote exploration. - David R. Thompson 001; Nathalie Cabrol; P. Michael Furlong; Craig Hardgrove; Kian Hsiang Low; Jeffrey Moersch; David Wettergreen (ICRA, 2013)

Sequential allocation of sampling budgets in unknown environments. - P. Michael Furlong; David Wettergreen (ICRA, 2014)

Science Autonomy for Rover Subsurface Exploration of the Atacama Desert. - David Wettergreen; Greydon T. Foil; P. Michael Furlong; David R. Thompson 001 (AI Mag., 2014)

Dissociable contributions of ventromedial prefrontal and posterior parietal cortex to value-guided choice. - Gerhard Jocham; P. Michael Furlong; Inga L. Kröger; Martin C. Kahn; Laurence T. Hunt; Tim E. J. Behrens (NeuroImage, 2014)

Spatio-Spectral Exploration Combining In Situ and Remote Measurements. - David Ray Thompson; David Wettergreen; Greydon T. Foil; P. Michael Furlong; Anatha Ravi Kiran (AAAI, 2015)

Safeguarding a lunar rover with Wald's sequential probability ratio test. - P. Michael Furlong; Michael Dille; Uland Y. Wong; Ara Nefian (ICRA, 2016)

Adaptive Sample Selection for Hypothesis Falsification. - P. Michael Furlong (AAAI Workshops, 2017)

Online Multi-modal Learning and Adaptive Informative Trajectory Planning for Autonomous Exploration. - Akash Arora; P. Michael Furlong; Robert Fitch; Terry Fong; Salah Sukkarieh; Richard Elphic (FSR, 2017)

Failure is Not an Option: Policy Learning for Adaptive Recovery in Space Operations. - Steve McGuire; P. Michael Furlong; Christoffer Heckman; Simon Julier; Daniel Szafir; Nisar R. Ahmed (IEEE Robotics Autom. Lett., 2018)

Foraging, Prospecting, and Falsification - Improving Three Aspects of Autonomous Science. - P. Michael Furlong (2018)

Belief Space Planning for Reducing Terrain Relative Localization Uncertainty in Noisy Elevation Maps. - Eugene Fang; P. Michael Furlong; William Whittaker (ICRA, 2019)

Multi-modal active perception for information gathering in science missions. - Akash Arora; P. Michael Furlong; Robert Fitch; Salah Sukkarieh; Terrence Fong (Auton. Robots, 2019)

Everybody Needs Somebody Sometimes: Validation of Adaptive Recovery in Robotic Space Operations. - Steve McGuire; P. Michael Furlong; Terry Fong; Christoffer Heckman; Daniel Szafir; Simon J. Julier; Nisar R. Ahmed (IEEE Robotics Autom. Lett., 2019)

Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract). - Deanna Flynn; P. Michael Furlong; Brian Coltin (AAAI, 2020)

Advancing the Scientific Frontier with Increasingly Autonomous Systems. - Rashied B. Amini; Abigail Azari; Shyam Bhaskaran; Patricia Beauchamp; Julie C. Castillo-Rogez; Rebecca Castaño; Seung Chung; John C. Day; Richard J. Doyle; Martin Feather; Lorraine M. Fesq; Jeremy Frank; et al. (CoRR, 2020)

Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics. - Somrita Banerjee; James Harrison; P. Michael Furlong; Marco Pavone 001 (CoRR, 2020)

Continuous then discrete: A recommendation for building robotic brains. - Chris Eliasmith; P. Michael Furlong (CoRL, 2021)

Human-Aware Reinforcement Learning for Fault Recovery Using Contextual Gaussian Processes. - Steve McGuire; P. Michael Furlong; Christoffer Heckman; Simon Julier; Nisar R. Ahmed (J. Aerosp. Inf. Syst., 2021)

Fractional Binding in Vector Symbolic Architectures as Quasi-Probability Statements. - P. Michael Furlong; Chris Eliasmith (CogSci, 2022)

Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions. - P. Michael Furlong; Kathryn Simone; Nicole Sandra-Yaffa Dumont; Madeleine Bartlett; Terrence C. Stewart; Jeff Orchard; Chris Eliasmith (ICANN (4), 2024)

A Recurrent Dynamic Model for Efficient Bayesian Optimization*. - P. Michael Furlong; Nicole Sandra-Yaffa Dumont; Jeff Orchard (NICE, 2024)

Efficient Hyperdimensional Computing With Spiking Phasors. - Jeff Orchard; P. Michael Furlong; Kathryn Simone (Neural Comput., 2024)

Developing a Foundation of Vector Symbolic Architectures Using Category Theory. - Nolan P. Shaw; P. Michael Furlong; Britt Anderson; Jeff Orchard (CoRR, 2025)

Wandering around: A bioinspired approach to visual attention through object motion sensitivity. - Giulia D'Angelo; Victoria Clerico; Chiara Bartolozzi; Matej Hoffmann; P. Michael Furlong; Alexander Hadjiivanov (CoRR, 2025)