Julie A. Shah

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 98

Top Venues

Publications

Lindsay Sanneman, Mycal Tucker, Julie A. Shah
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI. FAccT (2024)
Shaoting Peng, Margaret X. Wang, Julie A. Shah, Nadia Figueroa
Object Permanence Filter for Robust Tracking with Interactive Robots. CoRR (2024)
Christopher K. Fourie, Nadia Figueroa, Julie A. Shah
On-Manifold Strategies for Reactive Dynamical System Modulation With Nonconvex Obstacles. IEEE Trans. Robotics 40 (2024)
Shaoting Peng, Margaret X. Wang, Julie A. Shah, Nadia Figueroa
Object Permanence Filter for Robust Tracking with Interactive Robots. ICRA (2024)
Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie A. Shah
Learning with Language-Guided State Abstractions. CoRR (2024)
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
Preference-Conditioned Language-Guided Abstraction. CoRR (2024)
Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie A. Shah, Anca D. Dragan
Aligning Human and Robot Representations. HRI (2024)
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore R. Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie A. Shah
Preference-Conditioned Language-Guided Abstraction. HRI (2024)
Lindsay Sanneman, Julie A. Shah
Validating metrics for reward alignment in human-autonomy teaming. Comput. Hum. Behav. 146 (2023)
Elizabeth Bondi-Kelly, Thomas Hartvigsen, Lindsay M. Sanneman, Swami Sankaranarayanan, Zach Harned, Grace Wickerson, Judy Wawira Gichoya, Lauren Oakden-Rayner, Leo Anthony Celi, Matthew P. Lungren, Julie A. Shah, Marzyeh Ghassemi
Taking Off with AI: Lessons from Aviation for Healthcare. EAAMO (2023)
Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah
Human-Guided Complexity-Controlled Abstractions. NeurIPS (2023)
Mycal Tucker, Yilun Zhou, Julie A. Shah
Latent Space Alignment Using Adversarially Guided Self-Play. Int. J. Hum. Comput. Interact. 38 (18-20) (2022)
Mycal Tucker, Julie A. Shah
Prototype Based Classification from Hierarchy to Fairness. ICML (2022)
Lindsay Sanneman, Julie A. Shah
An Empirical Study of Reward Explanations With Human-Robot Interaction Applications. IEEE Robotics Autom. Lett. 7 (4) (2022)
Mycal Tucker, Roger Levy, Julie A. Shah, Noga Zaslavsky
Trading off Utility, Informativeness, and Complexity in Emergent Communication. NeurIPS (2022)
Lindsay Sanneman, Julie A. Shah
The Situation Awareness Framework for Explainable AI (SAFE-AI) and Human Factors Considerations for XAI Systems. Int. J. Hum. Comput. Interact. 38 (18-20) (2022)
Shen Li, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar, Julie A. Shah
Set-Based State Estimation With Probabilistic Consistency Guarantee Under Epistemic Uncertainty. IEEE Robotics Autom. Lett. 7 (3) (2022)
Shen Li, Daehyung Park, Yoonchang Sung, Julie A. Shah, Nicholas Roy
Reactive Task and Motion Planning under Temporal Logic Specifications. CoRR (2021)
Shen Li, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar, Julie A. Shah
Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty. CoRR (2021)
Lindsay Sanneman, Christopher Fourie, Julie A. Shah
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions. Found. Trends Robotics 8 (3) (2021)
Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. CoRR (2021)
Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia P. Sycara, Michael Lewis, Julie A. Shah
Emergent Discrete Communication in Semantic Spaces. NeurIPS (2021)
Shen Li, Daehyung Park, Yoonchang Sung, Julie A. Shah, Nicholas Roy
Reactive Task and Motion Planning under Temporal Logic Specifications. ICRA (2021)
Shen Li, Nadia Figueroa, Ankit J. Shah, Julie A. Shah
Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics. Robotics: Science and Systems (2021)
Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. CogSIMA (2021)
Vaibhav V. Unhelkar, Shen Li, Julie A. Shah
Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. HRI (2020)
Lindsay M. Sanneman, Julie A. Shah
Trust Considerations for Explainable Robots: A Human Factors Perspective. CoRR (2020)
Lindsay M. Sanneman, Julie A. Shah
A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI. EXTRAAMAS@AAMAS (2020)
Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah
Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. CoRR (2020)
Claudia Pérez-D'Arpino, Rebecca P. Khurshid, Julie A. Shah
Experimental Assessment of Human-Robot Teaming for Multi-Step Remote Manipulation with Expert Operators. CoRR (2020)
Heitor Judiss Savino, Luciano C. A. Pimenta, Julie A. Shah, Bruno Vilhena Adorno
Pose consensus based on dual quaternion algebra with application to decentralized formation control of mobile manipulators. J. Frankl. Inst. 357 (1) (2020)
Lindsay Sanneman, Christopher Fourie, Julie A. Shah
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions. CoRR (2020)
Yilun Zhou, Julie A. Shah, Steven Schockaert
Learning Household Task Knowledge from WikiHow Descriptions. CoRR (2019)
Vaibhav V. Unhelkar, Shen Li, Julie A. Shah
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. CoRL (2019)
Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah
On Memory Mechanism in Multi-Agent Reinforcement Learning. CoRR (2019)
Yilun Zhou, Steven Schockaert, Julie A. Shah
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. CoRR (2019)
Alyssa Kubota, Tariq Iqbal, Julie A. Shah, Laurel D. Riek
Activity recognition in manufacturing: The roles of motion capture and sEMG+inertial wearables in detecting fine vs. gross motion. ICRA (2019)
Priyam Parashar, Lindsay M. Sanneman, Julie A. Shah, Henrik I. Christensen
A Taxonomy for Characterizing Modes of Interactions in Goal-driven, Human-robot Teams. IROS (2019)
Shen Li, Julie A. Shah
Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction. ICRA (2019)
Katherine S. Welfare, Matthew R. Hallowell, Julie A. Shah, Laurel D. Riek
Consider the Human Work Experience When Integrating Robotics in the Workplace. HRI (2019)
Tariq Iqbal, Shen Li, Christopher Fourie, Bradley Hayes, Julie A. Shah
Fast Online Segmentation of Activities from Partial Trajectories. ICRA (2019)
Przemyslaw A. Lasota, Julie A. Shah
Bayesian Estimator for Partial Trajectory Alignment. Robotics: Science and Systems (2019)
Vaibhav V. Unhelkar, Julie A. Shah
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. AAAI (2019)
Ankit Shah, Pritish Kamath, Julie A. Shah, Shen Li
Bayesian Inference of Temporal Task Specifications from Demonstrations. NeurIPS (2018)
Vaibhav V. Unhelkar, Julie A. Shah
Learning and Communicating the Latent States of Human-Machine Collaboration. IJCAI (2018)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
Discovering Blind Spots in Reinforcement Learning. CoRR (2018)
Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz
Discovering Blind Spots in Reinforcement Learning. AAMAS (2018)
Joseph Kim, Matthew E. Woicik, Matthew C. Gombolay, Sung-Hyun Son, Julie A. Shah
Learning to Infer Final Plans in Human Team Planning. IJCAI (2018)
Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah
Robotic assistance in the coordination of patient care. Int. J. Robotics Res. 37 (10) (2018)
Ankit Shah, Lotta Blumberg, Julie A. Shah
Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly. IEEE Trans Autom. Sci. Eng. 15 (4) (2018)
Vaibhav V. Unhelkar, Przemyslaw A. Lasota, Quirin Tyroller, Rares-Darius Buhai, Laurie Marceau, Barbara Deml, Julie A. Shah
Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time. IEEE Robotics Autom. Lett. 3 (3) (2018)
Margaret Pearce, Bilge Mutlu, Julie A. Shah, Robert G. Radwin
Optimizing Makespan and Ergonomics in Integrating Collaborative Robots Into Manufacturing Processes. IEEE Trans Autom. Sci. Eng. 15 (4) (2018)
Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah
Human-Machine Collaborative Optimization via Apprenticeship Scheduling. J. Artif. Intell. Res. 63 (2018)
Vaibhav V. Unhelkar, Stefan Dörr, Alexander Bubeck, Przemyslaw A. Lasota, Jorge Perez, Ho Chit Siu, James C. Boerkoel Jr., Quirin Tyroller, Johannes Bix, Stefan Bartscher, Julie A. Shah
Mobile Robots for Moving-Floor Assembly Lines: Design, Evaluation, and Deployment. IEEE Robotics Autom. Mag. 25 (2) (2018)
Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Toni Golen, Neel Shah, Sung-Hyun Son, Julie A. Shah
Human-Machine Collaborative Optimization via Apprenticeship Scheduling. CoRR (2018)
Matthew C. Gombolay, Ronald Wilcox, Julie A. Shah
Fast Scheduling of Robot Teams Performing Tasks With Temporospatial Constraints. IEEE Trans. Robotics 34 (1) (2018)
Heitor Judiss Savino, Luciano C. A. Pimenta, Julie A. Shah, Bruno Vilhena Adorno
Pose consensus based on dual quaternion algebra with application to decentralized formation control of mobile manipulators. CoRR (2018)
Stefanos Nikolaidis, Jodi Forlizzi, David Hsu, Julie A. Shah, Siddhartha S. Srinivasa
Mathematical Models of Adaptation in Human-Robot Collaboration. CoRR (2017)
Henny Admoni, Julie A. Shah, Siddhartha S. Srinivasa
Editorial: Special Issue on Human-Robot Interaction. Int. J. Robotics Res. 36 (5-7) (2017)
Joseph Kim, Julie A. Shah
Towards Intelligent Decision Support in Human Team Planning. AAAI Fall Symposia (2017)
Julie A. Shah
Enhancing Human Capability with Intelligent Machine Teammates. AAMAS (2017)
Przemyslaw A. Lasota, Julie A. Shah
A multiple-predictor approach to human motion prediction. ICRA (2017)
Ramya Ramakrishnan, Chongjie Zhang, Julie A. Shah
Perturbation Training for Human-Robot Teams. J. Artif. Intell. Res. 59 (2017)
X. Jessie Yang, Vaibhav V. Unhelkar, Kevin Li, Julie A. Shah
Evaluating Effects of User Experience and System Transparency on Trust in Automation. HRI (2017)
Przemyslaw A. Lasota, Terrence Fong, Julie A. Shah
A Survey of Methods for Safe Human-Robot Interaction. Found. Trends Robotics 5 (4) (2017)
Matthew Craig Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie A. Shah
Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling. AAAI Workshops (2017)
Matthew C. Gombolay, Anna Bair, Cindy Huang, Julie A. Shah
Computational design of mixed-initiative human-robot teaming that considers human factors: situational awareness, workload, and workflow preferences. Int. J. Robotics Res. 36 (5-7) (2017)
Bradley Hayes, Julie A. Shah
Interpretable models for fast activity recognition and anomaly explanation during collaborative robotics tasks. ICRA (2017)
Bradley Hayes, Julie A. Shah
Improving Robot Controller Transparency Through Autonomous Policy Explanation. HRI (2017)
Claudia Pérez-D'Arpino, Peter Agoos, Andrew Zamore, David R. Gammons, Evie Kyritsis, Julie A. Shah
A Theatrical Mobile-Dexterous Robot Directed through Shared Autonomy. HRI (Companion) (2017)
Claudia Pérez-D'Arpino, Julie A. Shah
C-LEARN: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy. ICRA (2017)
Joseph Kim, Christopher J. Banks, Julie A. Shah
Collaborative Planning with Encoding of Users' High-Level Strategies. AAAI (2017)
Ramya Ramakrishnan, Julie A. Shah
Towards Interpretable Explanations for Transfer Learning in Sequential Tasks. AAAI Spring Symposia (2016)
Ho Chit Siu, Julie A. Shah, Leia Stirling
Classification of Anticipatory Signals for Grasp and Release from Surface Electromyography. Sensors 16 (11) (2016)
Chongjie Zhang, Julie A. Shah
Co-optimizing task and motion planning. IROS (2016)
Matthew C. Gombolay, Xi Jessie Yang, Bradley Hayes, Nicole Seo, Zixi Liu, Samir Wadhwania, Tania Yu, Neel Shah, Toni Golen, Julie A. Shah
Robotic Assistance in Coordination of Patient Care. Robotics: Science and Systems (2016)
Joseph Kim, Julie A. Shah
Improving Team's Consistency of Understanding in Meetings. IEEE Trans. Hum. Mach. Syst. 46 (5) (2016)
Vaibhav V. Unhelkar, Julie A. Shah
ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains. AAAI (2016)
Matthew C. Gombolay, Reed Jensen, Jessica Stigile, Sung-Hyun Son, Julie A. Shah
Apprenticeship Scheduling: Learning to Schedule from Human Experts. IJCAI (2016)
Claudia Pérez-D'Arpino, Julie A. Shah
Fast Motion Prediction for Collaborative Robotics. IJCAI (2016)
Chongjie Zhang, Julie A. Shah
Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling. IJCAI (2016)
Ankit J. Shah, Julie A. Shah
Towards manipulation planning for multiple interlinked deformable linear objects. ICRA (2016)
Przemyslaw A. Lasota, Julie A. Shah
Analyzing the Effects of Human-Aware Motion Planning on Close-Proximity Human-Robot Collaboration. Hum. Factors 57 (1) (2015)
Been Kim, Caleb M. Chacha, Julie A. Shah
Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior. J. Artif. Intell. Res. 52 (2015)
Been Kim, Cynthia Rudin, Julie A. Shah
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification. CoRR (2015)
Maurice F. Fallon, Scott Kuindersma, Sisir Karumanchi, Matthew E. Antone, Toby Schneider, Hongkai Dai, Claudia Pérez-D'Arpino, Robin Deits, Matt DiCicco, Dehann Fourie, Twan Koolen, Pat Marion, Michael Posa, Andres Valenzuela, Kuan-Ting Yu, Julie A. Shah, Karl Iagnemma, Russ Tedrake, Seth J. Teller
An Architecture for Online Affordance-based Perception and Whole-body Planning. J. Field Robotics 32 (2) (2015)
Stefanos Nikolaidis, Ramya Ramakrishnan, Keren Gu, Julie A. Shah
Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks. HRI (2015)
Claudia Pérez-D'Arpino, Julie A. Shah
Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification. ICRA (2015)
Aurélie Clodic, Rachid Alami, Cordula Vesper, Elisabeth Pacherie, Bilge Mutlu, Julie A. Shah
FJA@HRI15: Towards a Framework for Joint Action. HRI (Extended Abstracts) (2015)
Bradley Hayes, Matthew C. Gombolay, Malte F. Jung, Koen V. Hindriks, Joachim de Greeff, Catholijn M. Jonker, Mark A. Neerincx, Jeffrey M. Bradshaw, Matthew Johnson, Ivana Kruijff-Korbayová, Maarten Sierhuis, Julie A. Shah, Brian Scassellati
HRI Workshop on Human-Robot Teaming. HRI (Extended Abstracts) (2015)
Matthew Craig Gombolay, Cindy Huang, Julie A. Shah
Coordination of Human-Robot Teaming with Human Task Preferences. AAAI Fall Symposia (2015)
Matthew C. Gombolay, Reymundo A. Gutierrez, Shanelle G. Clarke, Giancarlo F. Sturla, Julie A. Shah
Decision-making authority, team efficiency and human worker satisfaction in mixed human-robot teams. Auton. Robots 39 (3) (2015)
Vaibhav Vasant Unhelkar, Julie A. Shah
Challenges in Developing a Collaborative Robotic Assistant for Automotive Assembly Lines. HRI (Extended Abstracts) (2015)
Been Kim, Julie A. Shah, Finale Doshi-Velez
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction. NIPS (2015)
Vaibhav V. Unhelkar, Claudia Pérez-D'Arpino, Leia Stirling, Julie A. Shah
Human-robot co-navigation using anticipatory indicators of human walking motion. ICRA (2015)
Chongjie Zhang, Julie A. Shah
On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison. AAAI (2015)
Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie A. Shah
Scalable and Interpretable Data Representation for High-Dimensional, Complex Data. AAAI (2015)
Stefanos Nikolaidis, Przemyslaw A. Lasota, Ramya Ramakrishnan, Julie A. Shah
Improved human-robot team performance through cross-training, an approach inspired by human team training practices. Int. J. Robotics Res. 34 (14) (2015)
Vaibhav V. Unhelkar, Ho Chit Siu, Julie A. Shah
Comparative performance of human and mobile robotic assistants in collaborative fetch-and-deliver tasks. HRI (2014)
Matthew C. Gombolay, Julie A. Shah
Schedulability Analysis of Task Sets with Upper- and Lower-Bound Temporal Constraints. J. Aerosp. Inf. Syst. 11 (12) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Julie A. Shah