Research Publications People Join

Publications

* denotes equal contribution and joint lead authorship.

2024


    Learning How Hard to Think: Input-Adaptive Allocation of LM Computation
    M. Damani, I. Shenfeld, A. Peng, A. Bobu, J. Andreas
    In submission, 2024
    Paper

    Adaptive Language-Guided Abstraction from Contrastive Explanations
    A. Peng, B.Z. Li, I. Sucholutsky, N. Kumar, J. Shah, J. Andreas, A. Bobu
    Conference on Robot Learning (CoRL), 2024
    Paper

    Aligning Human and Robot Representations
    A. Bobu*, A. Peng*, P. Agrawal, J. Shah, A.D. Dragan
    ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024
    Paper

    Preference-Conditioned Language-Guided Abstraction
    A. Peng, A. Bobu, B.Z. Li, T.R. Sumers, I. Sucholutsky, N. Kumar, T. L. Griffiths, J. Shah
    ACM/IEEE International Conference on Human Robot Interaction (HRI), 2024
    Paper   Website

    Getting Aligned on Representational Alignment
    I. Sucholutsky, L. Muttenthaler, A. Weller, A. Peng, A. Bobu, B. Kim, B.C. Love, E. Grant, I. Groen, J. Achterberg, J.B. Tenenbaum, K.M. Collins, K.L. Hermann, K. Oktar, K. Greff, M.N. Hebart, N. Jacoby, Q. Zhang, R. Marjieh, R. Geirhos, S. Chen, S. Kornblith, S. Rane, T. Konkle, T.P. O'Connell, T. Unterthiner, A.K. Lampinen, K.R. Müller, M. Toneva, T.L. Griffiths
    Workshop on Representational Alignment (Re-Align) @ ICLR, 2024
    Paper

2023


    Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning
    I. Lourenço, A. Bobu, C.R. Rojas, B. Wahlberg
    Conference on Decision and Control (CDC), 2023
    Paper

    Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation
    A. Peng, A. Netanyahu, M. K. Ho, T. Shu, A. Bobu, J. Shah, P. Agrawal
    International Conference on Machine Learning (ICML), 2023
    Paper   Talk

    SIRL: Similarity-based Implicit Representation Learning
    A. Bobu*, Y. Liu*, R. Shah, D.S. Brown, A.D. Dragan
    ACM/IEEE International Conference on Human Robot Interaction (HRI), 2023
    Paper   Talk

2022


    Time-Efficient Reward Learning via Visually Assisted Cluster Ranking
    D. Zhang, M. Carroll, A. Bobu, A.D. Dragan
    Workshop on Human in the Loop Learning @ NeurIPS, 2022
    Paper   Video

    Aligning Robot Representations with Humans
    A. Bobu, A. Peng
    Workshop on Collaborative Robots and the Work of the Future @ ICRA, 2022
    Paper   Video

    Teaching Robots to Span the Space of Functional Expressive Motion
    A. Sripathy, A. Bobu, Z. Li, K. Sreenath, D.S. Brown, A.D. Dragan
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
    Paper   Video   Website   Code

    Learning Perceptual Concepts by Bootstrapping from Human Queries
    A. Bobu, C. Paxton, W. Yang, B. Sundaralingam, Y.W. Chao, M. Cakmak, D. Fox
    IEEE Robotics and Automation Letters (RA-L), 2022
    Paper   Video   Website   Code   Patent

    Inducing Structure in Reward Learning by Learning Features
    A. Bobu, M. Wiggert, C.J. Tomlin, A.D. Dragan
    The International Journal of Robotics Research (IJRR), 2022
    Paper

2021


    Situational Confidence Assistance for Lifelong Shared Autonomy
    M. Zurek*, A. Bobu*, D.S. Brown, A.D. Dragan
    International Conference on Robot Learning (ICRA), 2021
    Paper   Talk

    Dynamically Switching Human Prediction Models for Efficient Planning
    A. Sripathy*, A. Bobu*, D.S. Brown, A.D. Dragan
    International Conference on Robot Learning (ICRA), 2021
    Paper   Website   Code   Talk

    Feature Expansive Reward Learning: Rethinking Human Input
    A. Bobu*, M. Wiggert*, C.J. Tomlin, A.D. Dragan
    ACM/IEEE International Conference on Human Robot Interaction (HRI), 2021
    Best Paper Award Finalist
    Paper   Website   Code   Talk

2020


    LESS is More: Rethinking Probabilistic Models of Human Behavior
    A. Bobu*, D.R.R. Scobee*, J.F. Fisac, S.S. Sastry, A.D. Dragan
    ACM/IEEE International Conference on Human Robot Interaction (HRI), 2020
    Best Paper Award Winner
    Paper   Website   Talk

    Detecting Hypothesis Space Misspecification in Robot Learning from Human Input
    A. Bobu
    HRI Pioneers @ ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2020
    Paper

2019


    Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
    A. Bobu, A. Bajcsy, J.F. Fisac, S. Deglurkar, A.D. Dragan
    IEEE Transactions on Robotics (T-RO)
    Best Paper Award Honorable Mention
    Paper   Code

2018


    Learning under Misspecified Objective Spaces
    A. Bobu, A. Bajcsy, J.F. Fisac, A.D. Dragan
    Conference on Robot Learning (CoRL), 2018
    Invited to Special Issue
    Paper   Video   Code   Talk

    Adapting to Continuously Shifting Domains
    A. Bobu, E. Tzeng, J. Hoffman, T. Darrell
    Workshop @ International Conference on Learning Representations (ICLR), 2018
    Paper

2016


    Patch-Based Discrete Registration of Clinical Brain Images
    A. Dalca, A. Bobu, N.S. Rost, P. Golland
    Patch-based Techniques in Medical Imaging @ International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI-PATCHMI), 2016
    Best Paper Award Winner
    Paper   Code