Joseph Campbell

Publications

This list may not be up-to-date. For a complete list, see Google Scholar.

2026

  1. Energy-Based Transfer for Reinforcement Learning

    Z. Deng, J. Ghosh, F. Xie, K. Cheng, Y. Lu, K. Sycara, J. Campbell

    CoLLAs

    Reinforcement Learning
    PDF arXiv

  2. PoseShield: Neural Collision Fields for Human Self-Collision Resolution

    Z. Li, Z. Deng, Y. Shen, L. Gui, M. Xie, J. Campbell, X. Gao, K. Wu, Z. Pan, A. Bera

    ECCV

    Computer Vision
    arXiv

  3. CDE: Concept-Driven Exploration for Reinforcement Learning

    L. Mao, A. Liu, R. Zabounidis, Y. Niu, Z. Kingston, J. Campbell

    IROS

    Reinforcement LearningRobotics
    arXiv Website

  4. Bayesian Social Deduction with Graph-Informed Language Models

    S. Rahimirad*, G. Gergerli*, L. Romero, A. Qian, M. Olson, S. Stepputtis, J. Campbell

    ACL

    Theory of MindLanguage Models
    PDF Poster Code arXiv Website

  5. LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models

    M. Olson, N. Ratzlaff, M. Hinck, T. Nguyen, V. Lal, J. Campbell, S. Stepputtis, S. Tseng

    AAAI

    Language Models
    arXiv

  6. HyperAdapt: Simple High-Rank Adaptation

    A. Gurung, J. Campbell

    TMLR

    Language Models
    arXiv

  7. Disentangled Concept-Residual Models: Bridging the Interpretability-Performance Gap for Incomplete Concept Sets

    R. Zabounidis, I. Oguntola, K. Zhao, J. Campbell, W. Kim, S. Stepputtis, K. Sycara

    TMLR

    InterpretabilityComputer Vision
    PDF

  8. MAPL: Multi-Objective Preference Learning for Robot Locomotion

    X. Chen, M. Lin, S. Shi, J. Campbell

    Preprint

    Reinforcement LearningLanguage Models
    PDF

  9. Sparse Autoencoders for Interpretable Out-of-Distribution Detection

    A. Karmacharya*, L. Luschwitz*, L. Romero, Y. Niu, J. Campbell

    Preprint

    Interpretability
    PDF

  10. Bi-Phase Training: Learning Efficiently in High Dimensions

    A. Gurung, J. Campbell

    Preprint

    Language Models
    PDF

2025

  1. Model-Agnostic Policy Explanations with Large Language Models

    Z. Xi-Jia, Y. Guo, S. Chen, S. Stepputtis, M. Gombolay, K. Sycara, J. Campbell

    COLM

    InterpretabilityLanguage Models
    arXiv

  2. Sparse Mixture-of-Experts for Non-Uniform Noise Reduction in MRI Images

    Z. Deng, J. Campbell

    WACV Workshop on Image Quality

    Computer Vision
    arXiv

  3. Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning

    M. Lin, S. Shi, Y. Guo, B. Chalaki, V. Tadiparthi, E. Pari, S. Stepputtis, J. Campbell, K. Sycara

    Preprint

    Reinforcement LearningLanguage Models
    arXiv

2024

  1. Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models

    M. Lin, S. Shi, Y. Guo, B. Chalaki, V. Tadiparthi, E. Pari, S. Stepputtis, J. Campbell, K. Sycara

    EMNLP Findings

    Reinforcement LearningLanguage Models
    arXiv

  2. ShapeGrasp: Zero-Shot Task-Oriented Grasping with Large Language Models through Geometric Decomposition

    S. Li, S. Bhagat, J. Campbell, Y. Xie, W. Kim, K. Sycara, S. Stepputtis

    IROS

    RoboticsLanguage Models
    Code arXiv Website

  3. Adaptive Action Advising with Different Rewards

    Y. Guo, X. Zhang, S. Stepputtis, J. Campbell, K. Sycara

    CoLLAs

    Reinforcement Learning
    PDF

  4. HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation

    C. Zhang, S. Stepputtis, J. Campbell, K. Sycara, Y. Xie

    CVPR

    Computer Vision
    Code arXiv

  5. Let Me Help You! Neuro-Symbolic Short-Context Action Anticipation

    S. Bhagat, S. Li, J. Campbell, Y. Xie, K. Sycara, S. Stepputtis

    RA-L

    Theory of MindComputer VisionRobotics
    PDF Code

2023

  1. Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon with Large Language Models

    S. Stepputtis, J. Campbell, Y. Xie, Z. Qi, W. Zhang, R. Wang, S. Rangreji, M. Lewis, K. Sycara

    EMNLP Findings

    Theory of MindMulti-AgentLanguage Models
    Code arXiv Website

  2. Theory of Mind for Multi-Agent Collaboration via Large Language Models

    H. Li, Y. Chong, S. Stepputtis, J. Campbell, D. Hughes, M. Lewis, K. Sycara

    EMNLP

    Theory of MindMulti-AgentLanguage Models
    Code arXiv

  3. A Framework for Intervention Based Team Support in Time Critical Tasks

    D. Hughes, H. Li, M. Chis, I. Oguntola, S. Stepputtis, K. Zheng, J. Campbell, K. Sycara, M. Lewis

    SMC

    Human-Robot Interaction
    PDF

  4. Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters

    X. Liu, G. Clark, J. Campbell, Y. Zhou, H. Ben Amor

    IROS

    Machine LearningRobotics
    Code arXiv

  5. Introspective Action Advising for Interpretable Transfer Learning

    J. Campbell, Y. Guo, F. Xie, S. Stepputtis, K. Sycara

    CoLLAs

    Reinforcement LearningInterpretability
    arXiv

  6. Sample-Efficient Learning of Novel Visual Concepts

    S. Bhagat*, S. Stepputtis*, J. Campbell, K. Sycara

    CoLLAs

    Computer Vision
    arXiv

  7. Learning and Blending Robot Hugging Behaviors in Time and Space

    M. Drolet, J. Campbell, H. Ben Amor

    ICRA

    Machine LearningHuman-Robot InteractionRobotics
    arXiv

  8. Explainable Action Advising for Multi-Agent Reinforcement Learning

    Y. Guo, J. Campbell, S. Stepputtis, R. Li, D. Hughes, F. Fang, K. Sycara

    ICRA

    InterpretabilityReinforcement LearningMulti-Agent
    Code arXiv

  9. Characterizing Out-of-Distribution Error via Optimal Transport

    Y. Lu, Y. Qin, R. Zhai, A. Shen, K. Chen, Z. Wang, S. Kolouri, S. Stepputtis, J. Campbell, K. Sycara

    NeurIPS

    Machine Learning
    arXiv

2022

  1. Concept Learning for Interpretable Multi-Agent Reinforcement Learning

    R. Zabounidis*, J. Campbell*, S. Stepputtis, D. Hughes, K. Sycara

    CoRL

    InterpretabilityReinforcement LearningMulti-Agent
    arXiv

2020

  1. Learning Predictive Models for Ergonomic Control of Prosthetic Devices

    G. Clark, J. Campbell, H. Ben Amor

    CoRL

    Machine LearningHuman-Robot InteractionRobotics
    arXiv

  2. Predictive Modeling of Periodic Behavior for Human-Robot Symbiotic Walking

    G. Clark, J. Campbell, S. Sorkhabadi, W. Zhang, H. Ben Amor

    ICRA

    Machine LearningHuman-Robot InteractionRobotics
    arXiv

  3. Learning Whole-Body Human-Robot Haptic Interaction in Social Contexts

    J. Campbell, K. Yamane

    ICRA

    Machine LearningHuman-Robot InteractionRobotics
    arXiv

  4. Language-Conditioned Imitation Learning for Robot Manipulation Tasks

    S. Stepputtis, J. Campbell, M. Phielipp, S. Lee, C. Baral, H. Ben Amor

    NeurIPS

    RoboticsLanguage Models
    arXiv

2019

  1. Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives

    J. Campbell, A. Hitzmann, S. Stepputtis, S. Ikemoto, K. Hosoda, H. Ben Amor

    IROS

    Machine LearningHuman-Robot InteractionRobotics
    arXiv

  2. Multimodal Dataset of Human-Robot Hugging Interaction

    K. Bagewadi, J. Campbell, H. Ben Amor

    AAAI-HRI

    Human-Robot InteractionRobotics
    arXiv

  3. Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks

    J. Campbell, S. Stepputtis, H. Ben Amor

    RSS

    Machine LearningHuman-Robot InteractionRobotics
    arXiv

2017

  1. Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction

    J. Campbell, H. Ben Amor

    CoRL

    Machine LearningHuman-Robot InteractionRobotics
    PDF

  2. From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion

    K. Luck*, J. Campbell*, M. Jansen*, D. Aukes, H. Ben Amor

    RSS

    Reinforcement LearningRobotics
    arXiv

  3. Bio-Inspired Robot Design Considering Load-Bearing and Kinematic Ontogeny of Chelonioidea Sea Turtles

    A. Jansen, K. Luck, J. Campbell, H. Ben Amor, D. Aukes

    Living Machines

    Robotics
    PDF

2016

  1. Adaptive Performance Prediction for Integrated GPUs

    U. Gupta, J. Campbell, U. Ogras, R. Ayoub, M. Kishinevsky, F. Paterna, S. Gumussoy

    ICCAD

    Machine Learning

  2. Traffic Light Status Detection Using Movement Patterns of Vehicles

    J. Campbell, H. Ben Amor, M. Ang, G. Fainekos

    ITSC

    Computer VisionRobotics

  3. Modeling Concurrency and Reconfiguration in Vehicular Systems: A \pi-Calculus Approach

    J. Campbell, C. Tuncali, P. Liu, T. Pavlic, U. Ozguner, G. Fainekos

    CASE

    Robotics

2015

  1. DisCoF+: Asynchronous DisCoF with Flexible Decoupling for Cooperative Pathfinding in Distributed Systems

    K. Kim, J. Campbell, W. Duong, Y. Zhang, G. Fainekos

    CASE

    Multi-AgentRobotics