A Preliminary Study of Peer-to-Peer Human-Robot Interaction. - Terrence Fong; Jean Scholtz; Julie A. Shah; Lorenzo Flückiger; Clayton Kunz; David Lees; John Schreiner; Michael D. Siegel; Laura M. Hiatt; Illah R. Nourbakhsh; Reid G. Simmons; Robert O. Ambrose; et al. (SMC, 2006)

A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans. - Julie A. Shah; John Stedl; Brian Charles Williams; Paul Robertson 001 (ICAPS, 2007)

Review and Synthesis of Considerations in Architecting Heterogeneous Teams of Humans and Robots for Optimal Space Exploration. - Julie A. Shah; Joseph Homer Saleh; Jeffrey A. Hoffman (IEEE Trans. Syst. Man Cybern. Part C, 2007)

Fast Dynamic Scheduling of Disjunctive Temporal Constraint Networks through Incremental Compilation. - Julie A. Shah; Brian Charles Williams (ICAPS, 2008)

Analytical basis for evaluating the effect of unplanned interventions on the effectiveness of a human-robot system. - Julie A. Shah; Joseph Homer Saleh; Jeffrey A. Hoffman (Reliab. Eng. Syst. Saf., 2008)

Flexible Execution of Plans with Choice. - Patrick R. Conrad; Julie A. Shah; Brian Charles Williams (ICAPS, 2009)

Fast Distributed Multi-agent Plan Execution with Dynamic Task Assignment and Scheduling. - Julie A. Shah; Patrick R. Conrad; Brian Charles Williams (ICAPS, 2009)

Dynamic Execution of Temporal Plans for Temporally Fluid Human-Robot Teaming. - Julie A. Shah; Brian Charles Williams; Cynthia Breazeal (AAAI Spring Symposium: It's All in the Timing, 2010)

An Empirical Analysis of Team Coordination Behaviors and Action Planning With Application to Human-Robot Teaming. - Julie A. Shah; Cynthia Breazeal (Hum. Factors, 2010)

Improved human-robot team performance using chaski, a human-inspired plan execution system. - Julie A. Shah; James Wiken; Brian Charles Williams; Cynthia Breazeal (HRI, 2011)

Human-Inspired Techniques for Human-Machine Team Planning. - Julie A. Shah; Been Kim; Stefanos Nikolaidis (AAAI Fall Symposium: Human Control of Bioinspired Swarms, 2012)

A Uniprocessor Scheduling Policy for Non-Preemptive Task Sets with Precedence and Temporal Constraints. - Matthew C. Gombolay; Julie A. Shah (Infotech@Aerospace, 2012)

Human-Robot Interactive Planning using Cross-Training: A Human Team Training Approach. - Stefanos Nikolaidis; Julie A. Shah (Infotech@Aerospace, 2012)

Optimization of Multi-Agent Workflow for Human-Robot Collaboration in Assembly Manufacturing. - Ronald Wilcox; Julie A. Shah (Infotech@Aerospace, 2012)

Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing. - Ronald Wilcox; Stefanos Nikolaidis; Julie A. Shah (Robotics: Science and Systems, 2012)

Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior. - Been Kim; Caleb M. Chacha; Julie A. Shah (AAAI, 2013)

Distributed Algorithms for Incrementally Maintaining Multiagent Simple Temporal Networks. - James C. Boerkoel Jr.; Léon Planken; Ronald Wilcox; Julie A. Shah (ICAPS, 2013)

Quantitative estimation of the strength of agreements in goal-oriented meetings. - Been Kim; Larry A. M. Bush; Julie Shah (CogSIMA, 2013)

Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy. - Stefanos Nikolaidis; Julie A. Shah (HRI, 2013)

Human-robot collaboration in manufacturing: Quantitative evaluation of predictable, convergent joint action. - Stefanos Nikolaidis; Przemyslaw A. Lasota; Gregory F. Rossano; Carlos Martínez; Thomas A. Fuhlbrigge; Julie A. Shah (ISR, 2013)

Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints. - Matthew C. Gombolay; Ronald Wilcox; Julie A. Shah (Robotics: Science and Systems, 2013)

Challenges in Collaborative Scheduling of Human-Robot Teams. - Matthew Craig Gombolay; Julie Arnold Shah (AAAI Fall Symposia, 2014)

Learning Human Types from Demonstration. - Stefanos Nikolaidis; Keren Gu; Ramya Ramakrishnan; Julie A. Shah (AAAI Fall Symposia, 2014)

Toward safe close-proximity human-robot interaction with standard industrial robots. - Przemyslaw A. Lasota; Gregory F. Rossano; Julie A. Shah (CASE, 2014)

Comparative performance of human and mobile robotic assistants in collaborative fetch-and-deliver tasks. - Vaibhav V. Unhelkar; Ho Chit Siu; Julie A. Shah (HRI, 2014)

A summary of team MIT's approach to the virtual robotics challenge. - Russ Tedrake; Maurice F. Fallon; Sisir Karumanchi; Scott Kuindersma; Matthew E. Antone; Toby Schneider; Thomas M. Howard; Matthew R. Walter; Hongkai Dai; Robin Deits; Michael Fleder; Dehann Fourie; et al. (ICRA, 2014)

Towards control and sensing for an autonomous mobile robotic assistant navigating assembly lines. - Vaibhav V. Unhelkar; Jorge Perez; James C. Boerkoel Jr.; Johannes Bix; Stefan Bartscher; Julie A. Shah (ICRA, 2014)

The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification. - Been Kim; Cynthia Rudin; Julie A. Shah (NIPS, 2014)

Fairness in Multi-Agent Sequential Decision-Making. - Chongjie Zhang; Julie A. Shah (NIPS, 2014)

Decision-Making Authority, Team Efficiency and Human Worker Satisfaction in Mixed Human-Robot Teams. - Matthew C. Gombolay; Reymundo Gutierrez; Giancarlo Sturla; Julie A. Shah (Robotics: Science and Systems, 2014)

Automatic prediction of consistency among team members' understanding of group decisions in meetings. - Joseph Kim; Julie A. Shah (SMC, 2014)

Efficient Model Learning for Human-Robot Collaborative Tasks. - Stefanos Nikolaidis; Keren Gu; Ramya Ramakrishnan; Julie A. Shah (CoRR, 2014)

Schedulability Analysis of Task Sets with Upper- and Lower-Bound Temporal Constraints. - Matthew C. Gombolay; Julie A. Shah (J. Aerosp. Inf. Syst., 2014)

Scalable and Interpretable Data Representation for High-Dimensional, Complex Data. - Been Kim; Kayur Patel; Afshin Rostamizadeh; Julie A. Shah (AAAI, 2015)

On Fairness in Decision-Making under Uncertainty: Definitions, Computation, and Comparison. - Chongjie Zhang; Julie A. Shah (AAAI, 2015)

Coordination of Human-Robot Teaming with Human Task Preferences. - Matthew Craig Gombolay; Cindy Huang; Julie A. Shah (AAAI Fall Symposia, 2015)

FJA@HRI15: Towards a Framework for Joint Action. - Aurélie Clodic; Rachid Alami 001; Cordula Vesper; Elisabeth Pacherie; Bilge Mutlu; Julie A. Shah (HRI (Extended Abstracts), 2015)

HRI Workshop on Human-Robot Teaming. - 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 001; Ivana Kruijff-Korbayová; Maarten Sierhuis; Julie A. Shah; et al. (HRI (Extended Abstracts), 2015)

Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks. - Stefanos Nikolaidis; Ramya Ramakrishnan; Keren Gu; Julie A. Shah (HRI, 2015)

Challenges in Developing a Collaborative Robotic Assistant for Automotive Assembly Lines. - Vaibhav Vasant Unhelkar; Julie A. Shah (HRI (Extended Abstracts), 2015)

Fast target prediction of human reaching motion for cooperative human-robot manipulation tasks using time series classification. - Claudia Pérez-D'Arpino; Julie A. Shah (ICRA, 2015)

Human-robot co-navigation using anticipatory indicators of human walking motion. - Vaibhav V. Unhelkar; Claudia Pérez-D'Arpino; Leia Stirling 001; Julie A. Shah (ICRA, 2015)

Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction. - Been Kim; Julie A. Shah; Finale Doshi-Velez (NIPS, 2015)

Decision-making authority, team efficiency and human worker satisfaction in mixed human-robot teams. - Matthew C. Gombolay; Reymundo A. Gutierrez; Shanelle G. Clarke; Giancarlo F. Sturla; Julie A. Shah (Auton. Robots, 2015)

Analyzing the Effects of Human-Aware Motion Planning on Close-Proximity Human-Robot Collaboration. - Przemyslaw A. Lasota; Julie A. Shah (Hum. Factors, 2015)

Improved human-robot team performance through cross-training, an approach inspired by human team training practices. - Stefanos Nikolaidis; Przemyslaw A. Lasota; Ramya Ramakrishnan; Julie A. Shah (Int. J. Robotics Res., 2015)

Inferring Team Task Plans from Human Meetings: A Generative Modeling Approach with Logic-Based Prior. - Been Kim; Caleb M. Chacha; Julie A. Shah (J. Artif. Intell. Res., 2015)

An Architecture for Online Affordance-based Perception and Whole-body Planning. - 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; et al. (J. Field Robotics, 2015)

ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains. - Vaibhav V. Unhelkar; Julie A. Shah (AAAI, 2016)

Towards Interpretable Explanations for Transfer Learning in Sequential Tasks. - Ramya Ramakrishnan; Julie A. Shah (AAAI Spring Symposia, 2016)

Towards manipulation planning for multiple interlinked deformable linear objects. - Ankit J. Shah; Julie A. Shah (ICRA, 2016)

Apprenticeship Scheduling: Learning to Schedule from Human Experts. - Matthew C. Gombolay; Reed Jensen; Jessica Stigile; Sung-Hyun Son; Julie A. Shah (IJCAI, 2016)

Fast Motion Prediction for Collaborative Robotics. - Claudia Pérez-D'Arpino; Julie A. Shah (IJCAI, 2016)

Co-Optimizating Multi-Agent Placement with Task Assignment and Scheduling. - Chongjie Zhang; Julie A. Shah (IJCAI, 2016)

Co-optimizing task and motion planning. - Chongjie Zhang; Julie A. Shah (IROS, 2016)

Toward a Science of Autonomy for Physical Systems: Paths. - Pieter Abbeel; Ken Goldberg; Gregory D. Hager; Julie Shah (CoRR, 2016)

Implicit Coordination Strategies for Effective Team Communication. - Abhizna Butchibabu; Christopher Sparano-Huiban; Liz Sonenberg; Julie Shah (Hum. Factors, 2016)

Classification of Anticipatory Signals for Grasp and Release from Surface Electromyography. - Ho Chit Siu; Julie A. Shah; Leia Stirling 001 (Sensors, 2016)

Improving Team's Consistency of Understanding in Meetings. - Joseph Kim; Julie A. Shah (IEEE Trans. Hum. Mach. Syst., 2016)

Learning to Tutor from Expert Demonstrators via Apprenticeship Scheduling. - Matthew Craig Gombolay; Reed Jensen; Jessica Stigile; Sung-Hyun Son; Julie A. Shah (AAAI Workshops, 2017)

Collaborative Planning with Encoding of Users' High-Level Strategies. - Joseph Kim; Christopher J. Banks; Julie A. Shah (AAAI, 2017)

Towards Intelligent Decision Support in Human Team Planning. - Joseph Kim; Julie A. Shah (AAAI Fall Symposia, 2017)

Enhancing Human Capability with Intelligent Machine Teammates. - Julie A. Shah (AAMAS, 2017)

Improving Robot Controller Transparency Through Autonomous Policy Explanation. - Bradley Hayes; Julie A. Shah (HRI, 2017)

A Theatrical Mobile-Dexterous Robot Directed through Shared Autonomy. - Claudia Pérez-D'Arpino; Peter Agoos; Andrew Zamore; David R. Gammons; Evie Kyritsis; Julie A. Shah (HRI (Companion), 2017)

Evaluating Effects of User Experience and System Transparency on Trust in Automation. - X. Jessie Yang; Vaibhav V. Unhelkar; Kevin Li; Julie A. Shah (HRI, 2017)

Interpretable models for fast activity recognition and anomaly explanation during collaborative robotics tasks. - Bradley Hayes; Julie A. Shah (ICRA, 2017)

A multiple-predictor approach to human motion prediction. - Przemyslaw A. Lasota; Julie A. Shah (ICRA, 2017)

C-LEARN: Learning geometric constraints from demonstrations for multi-step manipulation in shared autonomy. - Claudia Pérez-D'Arpino; Julie A. Shah (ICRA, 2017)

Intelligent Sensory Modality Selection for Electronic Supportive Devices. - Kyle Kotowick; Julie Shah (IUI, 2017)

Mathematical Models of Adaptation in Human-Robot Collaboration. - Stefanos Nikolaidis; Jodi Forlizzi; David Hsu; Julie A. Shah; Siddhartha S. Srinivasa (CoRR, 2017)

A Survey of Methods for Safe Human-Robot Interaction. - Przemyslaw A. Lasota; Terrence Fong; Julie A. Shah (Found. Trends Robotics, 2017)

Editorial: Special Issue on Human-Robot Interaction. - Henny Admoni; Julie A. Shah; Siddhartha S. Srinivasa (Int. J. Robotics Res., 2017)

Computational design of mixed-initiative human-robot teaming that considers human factors: situational awareness, workload, and workflow preferences. - Matthew C. Gombolay; Anna Bair; Cindy Huang; Julie A. Shah (Int. J. Robotics Res., 2017)

Perturbation Training for Human-Robot Teams. - Ramya Ramakrishnan; Chongjie Zhang; Julie A. Shah (J. Artif. Intell. Res., 2017)

Discovering Blind Spots in Reinforcement Learning. - Ramya Ramakrishnan; Ece Kamar; Debadeepta Dey; Julie A. Shah; Eric Horvitz (AAMAS, 2018)

Learning to Infer Final Plans in Human Team Planning. - Joseph Kim; Matthew E. Woicik; Matthew C. Gombolay; Sung-Hyun Son; Julie A. Shah (IJCAI, 2018)

Learning and Communicating the Latent States of Human-Machine Collaboration. - Vaibhav V. Unhelkar; Julie A. Shah (IJCAI, 2018)

Modality Switching for Mitigation of Sensory Adaptation and Habituation in Personal Navigation Systems. - Kyle Kotowick; Julie Shah (IUI, 2018)

Bayesian Inference of Temporal Task Specifications from Demonstrations. - Ankit Shah 003; Pritish Kamath; Julie A. Shah; Shen Li 003 (NeurIPS, 2018)

A New Model to Enhance Robot-Patient Communication: Applying Insights from the Medical World. - Elizabeth Broadbent; Deborah Johanson; Julie Shah (ICSR, 2018)

Effects of an Adaptive Modality Selection Algorithm for Navigation Systems. - Kyle Kotowick; Julie Shah (UIST, 2018)

Robotic assistance in the coordination of patient care. - Matthew C. Gombolay; Xi Jessie Yang; Bradley Hayes; Nicole Seo; Zixi Liu; Samir Wadhwania; Tania Yu; Neel Shah; Toni Golen; Julie A. Shah (Int. J. Robotics Res., 2018)

Human-Machine Collaborative Optimization via Apprenticeship Scheduling. - Matthew C. Gombolay; Reed Jensen; Jessica Stigile; Toni Golen; Neel Shah; Sung-Hyun Son; Julie A. Shah (J. Artif. Intell. Res., 2018)

Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time. - Vaibhav V. Unhelkar; Przemyslaw A. Lasota; Quirin Tyroller; Rares-Darius Buhai; Laurie Marceau; Barbara Deml; Julie A. Shah (IEEE Robotics Autom. Lett., 2018)

Mobile Robots for Moving-Floor Assembly Lines: Design, Evaluation, and Deployment. - 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 (IEEE Robotics Autom. Mag., 2018)

Optimizing Makespan and Ergonomics in Integrating Collaborative Robots Into Manufacturing Processes. - Margaret Pearce; Bilge Mutlu; Julie A. Shah; Robert G. Radwin (IEEE Trans Autom. Sci. Eng., 2018)

Planning for Manipulation of Interlinked Deformable Linear Objects With Applications to Aircraft Assembly. - Ankit Shah 003; Lotta Blumberg; Julie A. Shah (IEEE Trans Autom. Sci. Eng., 2018)

Fast Scheduling of Robot Teams Performing Tasks With Temporospatial Constraints. - Matthew C. Gombolay; Ronald Wilcox; Julie A. Shah (IEEE Trans. Robotics, 2018)

Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. - Ramya Ramakrishnan; Ece Kamar; Besmira Nushi; Debadeepta Dey; Julie Shah; Eric Horvitz (AAAI, 2019)

Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. - Vaibhav V. Unhelkar; Julie A. Shah (AAAI, 2019)

Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. - Vaibhav V. Unhelkar; Shen Li 003; Julie A. Shah (CoRL, 2019)

Consider the Human Work Experience When Integrating Robotics in the Workplace. - Katherine S. Welfare; Matthew R. Hallowell; Julie A. Shah; Laurel D. Riek (HRI, 2019)

Fast Online Segmentation of Activities from Partial Trajectories. - Tariq Iqbal; Shen Li 003; Christopher K. Fourie; Bradley Hayes; Julie A. Shah (ICRA, 2019)

Activity recognition in manufacturing: The roles of motion capture and sEMG+inertial wearables in detecting fine vs. gross motion. - Alyssa Kubota; Tariq Iqbal; Julie A. Shah; Laurel D. Riek (ICRA, 2019)

Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction. - Shen Li 003; Julie A. Shah (ICRA, 2019)

Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively. - Serena Booth; Christian Muise; Julie Shah (IJCAI, 2019)

Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. - Joseph Kim; Christian Muise; Ankit Shah 003; Shubham Agarwal 002; Julie Shah (IJCAI, 2019)

A Taxonomy for Characterizing Modes of Interactions in Goal-driven, Human-robot Teams. - Priyam Parashar; Lindsay M. Sanneman; Julie A. Shah; Henrik I. Christensen (IROS, 2019)

Bayesian Estimator for Partial Trajectory Alignment. - Przemyslaw A. Lasota; Julie A. Shah (Robotics: Science and Systems, 2019)

Learning Household Task Knowledge from WikiHow Descriptions. - Yilun Zhou; Julie Shah; Steven Schockaert (SemDeep@IJCAI, 2019)

Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. - Yilun Zhou; Steven Schockaert; Julie Shah (WWW, 2019)

On Memory Mechanism in Multi-Agent Reinforcement Learning. - Yilun Zhou; Derrik E. Asher; Nicholas R. Waytowich; Julie A. Shah (CoRR, 2019)

Social Agents for Teamwork and Group Interactions (Dagstuhl Seminar 19411). - Elisabeth André; Ana Paiva 001; Julie Shah; Selma Sabanovic (Dagstuhl Reports, 2019)

A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI. - Lindsay M. Sanneman; Julie A. Shah (EXTRAAMAS@AAMAS, 2020)

Interactive Robot Training for Temporal Tasks. - Ankit J. Shah; Julie Shah (HRI (Companion), 2020)

Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. - Vaibhav V. Unhelkar; Shen Li 003; Julie A. Shah (HRI, 2020)

Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. - Serena Booth; Ankit Shah 003; Yilun Zhou; Julie Shah (CoRR, 2020)

Adversarially Guided Self-Play for Adopting Social Conventions. - Mycal Tucker; Yilun Zhou; Julie Shah (CoRR, 2020)

Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. - Serena Booth; Yilun Zhou; Ankit J. Shah; Julie A. Shah (CoRR, 2020)

Interactive Robot Training for Non-Markov Tasks. - Ankit Shah 003; Julie Shah (CoRR, 2020)

Trust Considerations for Explainable Robots: A Human Factors Perspective. - Lindsay M. Sanneman; Julie A. Shah (CoRR, 2020)

Blind Spot Detection for Safe Sim-to-Real Transfer. - Ramya Ramakrishnan; Ece Kamar; Debadeepta Dey; Eric Horvitz; Julie Shah (J. Artif. Intell. Res., 2020)

Pose consensus based on dual quaternion algebra with application to decentralized formation control of mobile manipulators. - Heitor Judiss Savino; Luciano C. A. Pimenta; Julie A. Shah; Bruno Vilhena Adorno (J. Frankl. Inst., 2020)

Planning With Uncertain Specifications (PUnS). - Ankit Shah 003; Shen Li 003; Julie Shah (IEEE Robotics Autom. Lett., 2020)

Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. - Serena Booth; Yilun Zhou; Ankit Shah 003; Julie Shah (AAAI, 2021)

Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. - Sangwon Seo; Lauren R. Kennedy-Metz; Marco A. Zenati; Julie A. Shah; Roger D. Dias; Vaibhav V. Unhelkar (CogSIMA, 2021)

RoCUS: Robot Controller Understanding via Sampling. - Yilun Zhou; Serena Booth; Nadia Figueroa; Julie Shah (CoRL, 2021)

Reactive Task and Motion Planning under Temporal Logic Specifications. - Shen Li 003; Daehyung Park; Yoonchang Sung; Julie A. Shah; Nicholas Roy (ICRA, 2021)

Emergent Discrete Communication in Semantic Spaces. - Mycal Tucker; Huao Li; Siddharth Agrawal; Dana Hughes 001; Katia P. Sycara; Michael Lewis 001; Julie A. Shah (NeurIPS, 2021)

Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics. - Shen Li 003; Nadia Figueroa; Ankit J. Shah; Julie A. Shah (Robotics: Science and Systems, 2021)

A Bayesian Approach to Identifying Representational Errors. - Ramya Ramakrishnan; Vaibhav V. Unhelkar; Ece Kamar; Julie Shah (CoRR, 2021)

Explaining Reward Functions to Humans for Better Human-Robot Collaboration. - Lindsay Sanneman; Julie Shah (CoRR, 2021)

The Irrationality of Neural Rationale Models. - Yiming Zheng; Serena Booth; Julie Shah; Yilun Zhou (CoRR, 2021)

The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions. - Lindsay Sanneman; Christopher K. Fourie; Julie A. Shah (Found. Trends Robotics, 2021)

Do Feature Attribution Methods Correctly Attribute Features? - Yilun Zhou; Serena Booth; Marco Túlio Ribeiro; Julie Shah (AAAI, 2022)

Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. - Yanwei Wang; Nadia Figueroa; Shen Li 003; Ankit Shah 003; Julie Shah (CoRL, 2022)

Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning. - Serena Booth; Sanjana Sharma; Sarah Chung; Julie Shah; Elena L. Glassman (HRI, 2022)

Joint Action, Adaptation, and Entrainment in Human-Robot Interaction. - Christopher K. Fourie; Nadia Figueroa; Julie Shah; Marta Bienkiewicz; Benoît G. Bardy; Etienne Burdet; Phani-Teja Singamaneni; Rachid Alami 001; Arianna Curioni; Günther Knoblich; Wafa Johal; Dagmar Sternad; et al. (HRI, 2022)

Prototype Based Classification from Hierarchy to Fairness. - Mycal Tucker; Julie A. Shah (ICML, 2022)

When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. - Mycal Tucker; Tiwalayo Eisape; Peng Qian; Roger Levy; Julie Shah (NAACL-HLT, 2022)

ExSum: From Local Explanations to Model Understanding. - Yilun Zhou; Marco Túlio Ribeiro; Julie Shah (NAACL-HLT, 2022)

Trading off Utility, Informativeness, and Complexity in Emergent Communication. - Mycal Tucker; Roger Levy; Julie A. Shah; Noga Zaslavsky (NeurIPS, 2022)

The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication. - Seth Karten; Siddharth Agrawal; Mycal Tucker; Dana Hughes 001; Michael Lewis 001; Julie Shah; Katia P. Sycara (CoRR, 2022)

Probe-Based Interventions for Modifying Agent Behavior. - Mycal Tucker; William Kuhl; Khizer Shahid; Seth Karten; Katia P. Sycara; Julie Shah (CoRR, 2022)

Towards Human-Agent Communication via the Information Bottleneck Principle. - Mycal Tucker; Julie Shah; Roger Levy; Noga Zaslavsky (CoRR, 2022)

Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. - Michael L. Littman; Ifeoma Ajunwa; Guy Berger; Craig Boutilier; Morgan Currie; Finale Doshi-Velez; Gillian K. Hadfield; Michael C. Horowitz; Charles Isbell; Hiroaki Kitano; Karen Levy; Terah Lyons; et al. (CoRR, 2022)

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. - Peter Stone 001; Rodney Brooks; Erik Brynjolfsson; Ryan Calo; Oren Etzioni; Greg Hager; Julia Hirschberg; Shivaram Kalyanakrishnan; Ece Kamar; Sarit Kraus; Kevin Leyton-Brown; David C. Parkes; et al. (CoRR, 2022)

The Situation Awareness Framework for Explainable AI (SAFE-AI) and Human Factors Considerations for XAI Systems. - Lindsay Sanneman; Julie A. Shah (Int. J. Hum. Comput. Interact., 2022)

Latent Space Alignment Using Adversarially Guided Self-Play. - Mycal Tucker; Yilun Zhou; Julie A. Shah (Int. J. Hum. Comput. Interact., 2022)

Set-Based State Estimation With Probabilistic Consistency Guarantee Under Epistemic Uncertainty. - Shen Li 003; Theodoros Stouraitis; Michael Gienger; Sethu Vijayakumar; Julie A. Shah (IEEE Robotics Autom. Lett., 2022)

An Empirical Study of Reward Explanations With Human-Robot Interaction Applications. - Lindsay Sanneman; Julie A. Shah (IEEE Robotics Autom. Lett., 2022)

The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. - Serena Booth; W. Bradley Knox; Julie Shah; Scott Niekum; Peter Stone 001; Alessandro Allievi (AAAI, 2023)

Taking Off with AI: Lessons from Aviation for Healthcare. - 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 (EAAMO, 2023)

The Solvability of Interpretability Evaluation Metrics. - Yilun Zhou; Julie Shah (EACL (Findings), 2023)

Transparent Value Alignment. - Lindsay Sanneman; Julie Shah (HRI (Companion), 2023)

Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. - Eoin M. Kenny; Mycal Tucker; Julie Shah (ICLR, 2023)

Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. - Andi Peng; Aviv Netanyahu; Mark K. Ho; Tianmin Shu; Andreea Bobu; Julie Shah; Pulkit Agrawal 001 (ICML, 2023)

Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. - Cristian-Paul Bara; Ziqiao Ma 001; Yingzhuo Yu; Julie Shah; Joyce Chai (IJCAI, 2023)

Human-Guided Complexity-Controlled Abstractions. - Andi Peng; Mycal Tucker; Eoin M. Kenny; Noga Zaslavsky; Pulkit Agrawal 001; Julie A. Shah (NeurIPS, 2023)

Aligning Robot and Human Representations. - Andreea Bobu; Andi Peng; Pulkit Agrawal 001; Julie Shah; Anca D. Dragan (CoRR, 2023)

An Information Bottleneck Characterization of the Understanding-Workload Tradeoff. - Lindsay Sanneman; Mycal Tucker; Julie Shah (CoRR, 2023)

Validating metrics for reward alignment in human-autonomy teaming. - Lindsay Sanneman; Julie A. Shah (Comput. Hum. Behav., 2023)

Supervised Bayesian specification inference from demonstrations. - Ankit Shah 003; Pritish Kamath; Shen Li 003; Patrick L. Craven; Kevin J. Landers; Kevin Oden; Julie Shah (Int. J. Robotics Res., 2023)

Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration. - Eike Schneiders; Christopher K. Fourie; Stanley Celestin; Julie Shah; Malte F. Jung (CHI, 2024)

Adaptive Language-Guided Abstraction from Contrastive Explanations. - Andi Peng; Belinda Z. Li; Ilia Sucholutsky; Nishanth Kumar; Julie Shah; Jacob Andreas; Andreea Bobu (CoRL, 2024)

An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI. - Lindsay Sanneman; Mycal Tucker; Julie A. Shah (FAccT, 2024)

Aligning Human and Robot Representations. - Andreea Bobu; Andi Peng; Pulkit Agrawal 001; Julie A. Shah; Anca D. Dragan (HRI, 2024)

Preference-Conditioned Language-Guided Abstraction. - Andi Peng; Andreea Bobu; Belinda Z. Li; Theodore R. Sumers; Ilia Sucholutsky; Nishanth Kumar; Thomas L. Griffiths 001; Julie A. Shah (HRI, 2024)

Learning with Language-Guided State Abstractions. - Andi Peng; Ilia Sucholutsky; Belinda Z. Li; Theodore R. Sumers; Thomas L. Griffiths 001; Jacob Andreas; Julie Shah (ICLR, 2024)

Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. - Yanwei Wang; Tsun-Hsuan Wang; Jiayuan Mao; Michael Hagenow; Julie Shah (ICLR, 2024)

Object Permanence Filter for Robust Tracking with Interactive Robots. - Shaoting Peng; Margaret X. Wang; Julie A. Shah; Nadia Figueroa (ICRA, 2024)

Enhancing Preference-based Linear Bandits via Human Response Time. - Shen Li 003; Yuyang Zhang; Zhaolin Ren; Claire Liang; Na Li 002; Julie A. Shah (NeurIPS, 2024)

Automation from the Worker's Perspective. - Ben Armstrong; Valerie K. Chen; Alex Cuellar; Alexandra Forsey-Smerek; Julie A. Shah (CoRR, 2024)

Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection. - Michael Hagenow; Dimosthenis Kontogiorgos; Yanwei Wang; Julie Shah (CoRR, 2024)

Inference-Time Policy Steering through Human Interactions. - Yanwei Wang; Lirui Wang; Yilun Du; Balakumar Sundaralingam; Xuning Yang; Yu-Wei Chao; Claudia Pérez-D'Arpino; Dieter Fox; Julie Shah (CoRR, 2024)

Explainable deep learning improves human mental models of self-driving cars. - Eoin M. Kenny; Akshay Dharmavaram; Sang Uk Lee; Tung Phan-Minh; Shreyas Rajesh; Yunqing Hu; Laura Major; Momchil S. Tomov; Julie A. Shah (CoRR, 2024)

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off. - Eoin M. Kenny; Julie A. Shah (CoRR, 2024)

On-Manifold Strategies for Reactive Dynamical System Modulation With Nonconvex Obstacles. - Christopher K. Fourie; Nadia Figueroa; Julie A. Shah (IEEE Trans. Robotics, 2024)

Experimental Assessment of Human-Robot Teaming for Multi-step Remote Manipulation with Expert Operators. - Claudia Pérez-D'Arpino; Rebecca P. Khurshid; Julie A. Shah (ACM Trans. Hum. Robot Interact., 2024)

Leveraging LLMs for Collaborative Human-AI Decision Making. - Anthony Favier; Pulkit Verma 003; Ngoc La; Julie A. Shah (AAAI Spring Symposia, 2025)

Questioning the Robot: Using Human Non-verbal Cues to Estimate the Need for Explanations. - Dimosthenis Kontogiorgos; Julie Shah (HRI, 2025)

Corrections to "On-Manifold Strategies for Reactive Dynamical System Modulation With Nonconvex Obstacles". - Christopher K. Fourie; Nadia Figueroa; Julie A. Shah (IEEE Trans. Robotics, 2025)

HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym. - Ngoc La; Ruaridh Mon-Williams; Julie A. Shah (CoRR, 2025)

Context Matters: Learning Generalizable Rewards via Calibrated Features. - Alexandra Forsey-Smerek; Julie Shah; Andreea Bobu (CoRR, 2025)

REALM: Real-Time Estimates of Assistance for Learned Models in Human-Robot Interaction. - Michael Hagenow; Julie A. Shah (IEEE Robotics Autom. Lett., 2025)