A full list of my publications can be found on my Google scholar.
2023
Conference Papers |
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Understanding Your Agent: Leveraging Large Language Models for Behavior Explanation Xijia Zhang, Yue Guo, Simon Stepputtis, Katia Sycara, Joseph Campbell Preprint 2023 Tags: Machine Learning , Natural Language Processing , Explainable AI |
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Benchmarking and Enhancing Disentanglement in Concept-Residual Models Renos Zabounidis, Ini Oguntola, Konghao Zhao, Joseph Campbell, Simon Stepputtis, Katia Sycara Preprint 2023 Tags: Machine Learning , Explainable AI |
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Characterizing Out-of-Distribution Error via Optimal Transport Yuzhe Lu, Yilong Qin, Runtian Zhai, Andrew Shen, Ketong Chen, Zhenlin Wang, Soheil Kolouri, Simon Stepputtis, Joseph Campbell, Katia Sycara Conference on Neural Information Processing Systems (NeurIPS) 2023 Tags: Machine Learning |
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Long-Horizon Dialogue Understanding for Role Identification in the Game of Avalon Simon Stepputtis, Joseph Campbell, Yaqi Xie, Zhengyang Qi, Wenxin Sharon Zhang, Ruiyi Wang, Sanketh Rangreji, Michael Lewis, Katia Sycara Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023 Tags: Machine Learning , Natural Language Processing |
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Theory of Mind for Multi-Agent Collaboration via Large Language Models Huao Li, Yu Quan Chong, Simon Stepputtis, Joseph Campbell, Dana Hughes, Michael Lewis, Katia Sycara Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023 Tags: Machine Learning , Natural Language Processing |
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A Framework for Intervention-based Team Support in Time Critical Tasks Dana Hughes, Huao Li, Max Chis, Ini Oguntola, Simon Stepputtis, Keyang Zheng, Joseph Campbell, Katia Sycara, Michael Lewis International Conference on Systems, Man, and Cybenetics (SMC) 2023 Tags: Machine Learning |
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Enhancing State Estimation in Robots: A Data-Driven Approach with Differentiable Ensemble Kalman Filters Xiao Liu, Geoffrey Clark, Joseph Campbell, Yifan Zhou, Heni Ben Amor International Conference on Intelligent Robots and Systems (IROS) 2023 Tags: Machine Learning , Robotics |
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Introspective Action Advising for Interpretable Transfer Learning Joseph Campbell, Yue Guo, Fiona Xie, Simon Stepputtis, Katia Sycara Conference on Lifelong Learning Agents (CoLLAs) 2023 Tags: Machine Learning , Reinforcement Learning , Explainable AI |
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Sample-Efficient Learning of Novel Visual Concepts Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia Sycara Conference on Lifelong Learning Agents (CoLLAs) 2023 Tags: Machine Learning , Explainable AI |
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Learning and Blending Robot Hugging Behaviors in Time and Space Michael Drolet, Joseph Campbell, Heni Ben Amor International Conference on Robotics and Automation (ICRA) 2023 Tags: Machine Learning , Robotics , Human-Robot Interaction |
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Explainable Action Advising for Multi-Agent Reinforcement Learning Yue Guo, Joseph Campbell, Simon Stepputtis, Ruiyu Li, Dana Hughes, Fei Fang, Katia Sycara International Conference on Robotics and Automation (ICRA) 2023 Tags: Machine Learning , Reinforcement Learning , Explainable AI |
Workshop Papers |
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Explaining Agent Behavior with Large Language Models Xijia Zhang, Yue Guo, Simon Stepputtis, Katia Sycara, Joseph Campbell IROS Workshop on Human Multi-Robot Interaction 2023 Tags: Machine Learning , Natural Language Processing , Explainable AI |
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Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia Sycara ICCV Workshop on AI for Creative Video Editing and Understanding 2023 Tags: Machine Learning , Explainable AI |
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Predicting Out-of-Distribution Error with Confidence Optimal Transport Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia Sycara ICLR Workshop on Pitfalls of Limited Data and Computation for Trustworthy ML 2023 Tags: Machine Learning |
2022
Conference Papers |
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Concept Learning for Interpretable Multi-Agent Reinforcement Learning Renos Zabounidis*, Joseph Campbell*, Simon Stepputtis, Dana Hughes, Katia Sycara Conference on Robot Learning (CoRL) 2022 Tags: Machine Learning , Reinforcement Learning , Robotics , Explainable AI |
2020
Conference Papers |
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Learning Predictive Models for Ergonomic Control of Prosthetic Devices Geoffrey Clark, Joseph Campbell, Heni Ben Amor Conference on Robot Learning (CoRL) 2020 Video Tags: Machine Learning , Robotics , Human-Robot Interaction |
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Predictive Modeling of Periodic Behavior for Human-Robot Symbiotic Walking Geoffrey Clark, Joseph Campbell, Seyed Mostafa Rezayat Sorkhabadi, Wenlong Zhang, Heni Ben Amor International Conference on Robotics and Automation (ICRA) 2020 Video Tags: Machine Learning , Robotics , Human-Robot Interaction |
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Learning Whole-Body Human-Robot Haptic Interaction in Social Contexts Joseph Campbell, Katsu Yamane International Conference on Robotics and Automation (ICRA) 2020 Video Tags: Machine Learning , Robotics , Human-Robot Interaction , Explainable AI |
2019
Conference Papers |
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Language-Conditioned Imitation Learning for Robot Manipulation Tasks Simon Stepputtis, Joseph Campbell, Mariano Phielipp, Stefan Lee, Chitta Baral, Heni Ben Amor Conference on Neural Information Processing Systems (NeurIPS) 2020 Video Tags: Machine Learning , Robotics , Natural Language Processing |
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Learning Interactive Behaviors for Musculoskeletal Robots Using Bayesian Interaction Primitives Joseph Campbell, Arne Hitzmann, Simon Stepputtis, Shuhei Ikemoto, Koh Hosoda, Heni Ben Amor International Conference on Intelligent Robots and Systems (IROS) 2019 Video Tags: Machine Learning , Robotics , Human-Robot Interaction , Explainable AI |
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Multimodal Dataset of Human-Robot Hugging Interaction Kunal Bagewadi, Joseph Campbell, Heni Ben Amor AAAI Fall Symposium: Artificial Intelligence for Human-Robot Interaction (AI-HRI) 2019 Tags: Machine Learning , Robotics , Human-Robot Interaction |
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Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks Joseph Campbell, Simon Stepputtis, Heni Ben Amor Robotics: Science and Systems (RSS) 2019 Video Tags: Machine Learning , Robotics , Human-Robot Interaction , Explainable AI |
2017
Conference Papers |
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Bayesian Interaction Primitives: A Slam Approach to Human-Robot Interaction Joseph Campbell, Heni Ben Amor Conference on Robot Learning (CoRL) 2017 Tags: Machine Learning , Robotics , Human-Robot Interaction , Explainable AI |
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From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion Kevin Sebastian Luck*, Joseph Campbell*, Michael Andrew Jansen*, Daniel M Aukes, Heni Ben Amor Robotics: Science and Systems (RSS) 2017 VideoTags: Machine Learning , Reinforcement Learning , Robotics |
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Bio-Inspired Robot Design Considering Load-Bearing and Kinematic Ontogeny of Chelonioidea Sea Turtles Andrew Jansen, Kevin Sebastian Luck, Joseph Campbell, Heni Ben Amor, Daniel M Aukes International Conference on Biomimetic and Biohybrid Systems (Living Machines) 2017 Tags: Robotics |
2016
Conference Papers |
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Adaptive Performance Prediction for Integrated GPUs Ujjwal Gupta, Joseph Campbell, Umit Y Ogras, Raid Ayoub, Michael Kishinevsky, Francesco Paterna, Suat Gumussoy International Conference on Computer-Aided Design (ICCAD) 2016 Tags: Machine Learning , Embedded Systems |
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Traffic Light Status Detection Using Movement Patterns of Vehicles Joseph Campbell, Heni Ben Amor, Marcelo H Ang, Georgios Fainekos International Conference on Intelligent Transportation Systems (ITSC) 2016 Tags: Machine Learning , Robotics |
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Modeling Concurrency and Reconfiguration in Vehicular Systems: A π-Calculus Approach Joseph Campbell, Cumhur Erkan Tuncali, Peng Liu, Theodore P Pavlic, Umit Ozguner, Georgios Fainekos International Conference on Automation Science and Engineering (CASE) 2016 Tags: Formal Methods , Robotics |
2015
Conference Papers |
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DisCoF+: Asynchronous DisCoF with Flexible Decoupling for Cooperative Pathfinding in Distributed Systems Kangjin Kim, Joseph Campbell, William Duong, Yu Zhang, Georgios Fainekos International Conference on Automation Science and Engineering (CASE) 2015 Tags: Motion Planning , Robotics |