Learning hierarchical models of activity. - Sarah Osentoski; Victoria Manfredi; Sridhar Mahadevan (IROS, 2004)

Learning Representation and Control in Continuous Markov Decision Processes. - Sridhar Mahadevan; Mauro Maggioni; Kimberly Ferguson; Sarah Osentoski (AAAI, 2006)

Representation Discovery in Planning using Harmonic Analysis. - Jeffrey Johns; Sarah Osentoski; Sridhar Mahadevan (AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development, 2007)

Learning to Plan Using Harmonic Analysis of Diffusion Models. - Sridhar Mahadevan; Sarah Osentoski; Jeffrey Johns; Kimberly Ferguson; Chang Wang 001 (ICAPS, 2007)

Learning state-action basis functions for hierarchical MDPs. - Sarah Osentoski; Sridhar Mahadevan (ICML, 2007)

Brown ROS Package: Reproducibility for Shared Experimentation and Learning from Demonstration. - Sarah Osentoski; Graylin Jay; Christopher Crick; Odest Chadwicke Jenkins (Enabling Intelligence through Middleware, 2010)

Basis function construction for hierarchical reinforcement learning. - Sarah Osentoski; Sridhar Mahadevan (AAMAS, 2010)

Learning from demonstration using a multi-valued function regressor for time-series data. - Jesse Butterfield; Sarah Osentoski; Graylin Jay; Odest Chadwicke Jenkins (Humanoids, 2010)

Value Function Approximation in Reinforcement Learning Using the Fourier Basis. - George Dimitri Konidaris; Sarah Osentoski; Philip S. Thomas (AAAI, 2011)

Human and robot perception in large-scale learning from demonstration. - Christopher Crick; Sarah Osentoski; Graylin Jay; Odest Chadwicke Jenkins (HRI, 2011)

Robots as web services: Reproducible experimentation and application development using rosjs. - Sarah Osentoski; Graylin Jay; Christopher Crick; Benjamin Pitzer; Charles DuHadway; Odest Chadwicke Jenkins (ICRA, 2011)

Rosbridge: ROS for Non-ROS Users. - Christopher Crick; Graylin Jay; Sarah Osentoski; Benjamin Pitzer; Odest Chadwicke Jenkins (ISRR, 2011)

Recasting Robotics Challenges as Experiments [Competitions]. - Monica Anderson 001; Odest Chadwicke Jenkins; Sarah Osentoski (IEEE Robotics Autom. Mag., 2011)

ROS and Rosbridge: roboticists out of the loop. - Christopher Crick; Graylin Jay; Sarah Osentoski; Odest Chadwicke Jenkins (HRI, 2012)

PR2 Remote Lab: An environment for remote development and experimentation. - Benjamin Pitzer; Sarah Osentoski; Graylin Jay; Christopher Crick; Odest Chadwicke Jenkins (ICRA, 2012)

Learning and generalization of complex tasks from unstructured demonstrations. - Scott Niekum; Sarah Osentoski; George Dimitri Konidaris; Andrew G. Barto (IROS, 2012)

Failure recovery with shared autonomy. - Bharath Sankaran; Benjamin Pitzer; Sarah Osentoski (IROS, 2012)

Remote Robotic Laboratories for Learning from Demonstration - Enabling user interaction and shared experimentation. - Sarah Osentoski; Benjamin Pitzer; Christopher Crick; Graylin Jay; Shuonan Dong; Daniel H. Grollman; Halit Bener Suay; Odest Chadwicke Jenkins (Int. J. Soc. Robotics, 2012)

Context aware shared autonomy for robotic manipulation tasks. - Thomas Witzig; Johann Marius Zöllner; Dejan Pangercic; Sarah Osentoski; Rainer Jäkel; Rüdiger Dillmann (IROS, 2013)

Incremental Semantically Grounded Learning from Demonstration. - Scott Niekum; Sachin Chitta; Andrew G. Barto; Bhaskara Marthi; Sarah Osentoski (Robotics: Science and Systems, 2013)

Active articulation model estimation through interactive perception. - Karol Hausman; Scott Niekum; Sarah Osentoski; Gaurav S. Sukhatme (ICRA, 2015)

Online Bayesian changepoint detection for articulated motion models. - Scott Niekum; Sarah Osentoski; Christopher G. Atkeson; Andrew G. Barto (ICRA, 2015)

Robot Web Tools: Efficient messaging for cloud robotics. - Russell Toris; Julius Kammerl; David V. Lu; Jihoon Lee; Odest Chadwicke Jenkins; Sarah Osentoski; Mitchell Wills; Sonia Chernova (IROS, 2015)

Learning grounded finite-state representations from unstructured demonstrations. - Scott Niekum; Sarah Osentoski; George Dimitri Konidaris; Sachin Chitta; Bhaskara Marthi; Andrew G. Barto (Int. J. Robotics Res., 2015)

Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework. - Mustafa Hajij; Lennart Bastian; Sarah Osentoski; Hardik Kabaria; John L. Davenport; Sheik Dawood; Balaji Cherukuri; Joseph G. Kocheemoolayil; Nastaran Shahmansouri; Adrian Lew; Theodore Papamarkou; Tolga Birdal (CoRR, 2025)