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Julie A. Shah
Julie Arnold Shah – Julie Shah
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- affiliation: Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2024
- [j35]Claudia Pérez-D'Arpino
, Rebecca P. Khurshid
, Julie A. Shah
:
Experimental Assessment of Human-Robot Teaming for Multi-step Remote Manipulation with Expert Operators. ACM Trans. Hum. Robot Interact. 13(3): 36:1-36:26 (2024) - [j34]Christopher K. Fourie
, Nadia Figueroa
, Julie A. Shah
:
On-Manifold Strategies for Reactive Dynamical System Modulation With Nonconvex Obstacles. IEEE Trans. Robotics 40: 2390-2409 (2024) - [c110]Eike Schneiders
, Christopher K. Fourie
, Stanley Celestin
, Julie Shah
, Malte F. Jung
:
Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration. CHI 2024: 152:1-152:13 - [c109]Lindsay Sanneman
, Mycal Tucker
, Julie A. Shah
:
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff in Human-Centered Explainable AI. FAccT 2024: 2175-2198 - [c108]Andreea Bobu
, Andi Peng
, Pulkit Agrawal
, Julie A. Shah
, Anca D. Dragan
:
Aligning Human and Robot Representations. HRI 2024: 42-54 - [c107]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: 572-581 - [c106]Andi Peng, Ilia Sucholutsky, Belinda Z. Li, Theodore R. Sumers, Thomas L. Griffiths, Jacob Andreas, Julie Shah:
Learning with Language-Guided State Abstractions. ICLR 2024 - [c105]Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah:
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. ICLR 2024 - [c104]Shaoting Peng, Margaret X. Wang, Julie A. Shah, Nadia Figueroa:
Object Permanence Filter for Robust Tracking with Interactive Robots. ICRA 2024: 4909-4915 - [c103]Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah:
Enhancing Preference-based Linear Bandits via Human Response Time. NeurIPS 2024 - [i57]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 abs/2402.03081 (2024) - [i56]Eike Schneiders, Christopher K. Fourie, Stanley Celestin, Julie Shah, Malte F. Jung:
Understanding Entrainment in Human Groups: Optimising Human-Robot Collaboration from Lessons Learned during Human-Human Collaboration. CoRR abs/2402.15427 (2024) - [i55]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 abs/2402.18759 (2024) - [i54]Shaoting Peng, Margaret X. Wang, Julie A. Shah, Nadia Figueroa:
Object Permanence Filter for Robust Tracking with Interactive Robots. CoRR abs/2403.08231 (2024) - [i53]Yanwei Wang, Tsun-Hsuan Wang, Jiayuan Mao, Michael Hagenow, Julie Shah:
Grounding Language Plans in Demonstrations Through Counterfactual Perturbations. CoRR abs/2403.17124 (2024) - [i52]Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah:
Enhancing Preference-based Linear Bandits via Human Response Time. CoRR abs/2409.05798 (2024) - [i51]Andi Peng, Belinda Z. Li, Ilia Sucholutsky, Nishanth Kumar, Julie A. Shah, Jacob Andreas, Andreea Bobu:
Adaptive Language-Guided Abstraction from Contrastive Explanations. CoRR abs/2409.08212 (2024) - [i50]Ben Armstrong, Valerie K. Chen, Alex Cuellar, Alexandra Forsey-Smerek, Julie A. Shah:
Automation from the Worker's Perspective. CoRR abs/2409.20387 (2024) - [i49]Michael Hagenow, Dimosthenis Kontogiorgos, Yanwei Wang, Julie Shah:
Versatile Demonstration Interface: Toward More Flexible Robot Demonstration Collection. CoRR abs/2410.19141 (2024) - [i48]Yanwei Wang, Lirui Wang, Yilun Du, Balakumar Sundaralingam, Xuning Yang, Yu-Wei Chao, Claudia Pérez-D'Arpino, Dieter Fox, Julie Shah:
Inference-Time Policy Steering through Human Interactions. CoRR abs/2411.16627 (2024) - [i47]Eoin M. Kenny, Akshay Dharmavaram, Sang Uk Lee, Tung Phan-Minh, Shreyas Rajesh, Yunqing Hu, Laura Major, Momchil S. Tomov, Julie A. Shah:
Explainable deep learning improves human mental models of self-driving cars. CoRR abs/2411.18714 (2024) - [i46]Eoin M. Kenny, Julie A. Shah:
Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off. CoRR abs/2412.12169 (2024) - 2023
- [j33]Lindsay Sanneman
, Julie A. Shah:
Validating metrics for reward alignment in human-autonomy teaming. Comput. Hum. Behav. 146: 107809 (2023) - [j32]Ankit Shah
, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah:
Supervised Bayesian specification inference from demonstrations. Int. J. Robotics Res. 42(14): 1245-1264 (2023) - [c102]Serena Booth, W. Bradley Knox, Julie Shah, Scott Niekum, Peter Stone, Alessandro Allievi:
The Perils of Trial-and-Error Reward Design: Misdesign through Overfitting and Invalid Task Specifications. AAAI 2023: 5920-5929 - [c101]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: 4:1-4:14 - [c100]Yilun Zhou, Julie Shah:
The Solvability of Interpretability Evaluation Metrics. EACL (Findings) 2023: 2354-2370 - [c99]Lindsay Sanneman
, Julie Shah
:
Transparent Value Alignment. HRI (Companion) 2023: 557-560 - [c98]Eoin M. Kenny, Mycal Tucker, Julie Shah:
Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes. ICLR 2023 - [c97]Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu
, Julie Shah, Pulkit Agrawal:
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. ICML 2023: 27630-27641 - [c96]Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai:
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. IJCAI 2023: 2958-2966 - [c95]Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie A. Shah:
Human-Guided Complexity-Controlled Abstractions. NeurIPS 2023 - [i45]Andreea Bobu, Andi Peng, Pulkit Agrawal, Julie Shah, Anca D. Dragan:
Aligning Robot and Human Representations. CoRR abs/2302.01928 (2023) - [i44]Cristian-Paul Bara, Ziqiao Ma, Yingzhuo Yu, Julie Shah, Joyce Chai:
Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue. CoRR abs/2305.11271 (2023) - [i43]Andi Peng, Aviv Netanyahu, Mark K. Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal:
Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation. CoRR abs/2307.06333 (2023) - [i42]Lindsay Sanneman, Mycal Tucker, Julie Shah:
An Information Bottleneck Characterization of the Understanding-Workload Tradeoff. CoRR abs/2310.07802 (2023) - [i41]Andi Peng, Mycal Tucker, Eoin M. Kenny, Noga Zaslavsky, Pulkit Agrawal, Julie Shah:
Human-Guided Complexity-Controlled Abstractions. CoRR abs/2310.17550 (2023) - 2022
- [j31]Mycal Tucker
, Yilun Zhou, Julie A. Shah:
Latent Space Alignment Using Adversarially Guided Self-Play. Int. J. Hum. Comput. Interact. 38(18-20): 1753-1771 (2022) - [j30]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): 1772-1788 (2022) - [j29]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): 5958-5965 (2022) - [j28]Lindsay Sanneman
, Julie A. Shah
:
An Empirical Study of Reward Explanations With Human-Robot Interaction Applications. IEEE Robotics Autom. Lett. 7(4): 8956-8963 (2022) - [c94]Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? AAAI 2022: 9623-9633 - [c93]Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah:
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. CoRL 2022: 94-105 - [c92]Serena Booth, Sanjana Sharma, Sarah Chung, Julie Shah, Elena L. Glassman:
Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning. HRI 2022: 147-156 - [c91]Christopher K. Fourie, Nadia Figueroa, Julie Shah, Marta Bienkiewicz, Benoît G. Bardy, Etienne Burdet, Phani-Teja Singamaneni, Rachid Alami, Arianna Curioni, Günther Knoblich, Wafa Johal
, Dagmar Sternad, Malte F. Jung:
Joint Action, Adaptation, and Entrainment in Human-Robot Interaction. HRI 2022: 1250-1253 - [c90]Mycal Tucker, Julie A. Shah:
Prototype Based Classification from Hierarchy to Fairness. ICML 2022: 21884-21900 - [c89]Yilun Zhou, Marco Túlio Ribeiro, Julie Shah:
ExSum: From Local Explanations to Model Understanding. NAACL-HLT 2022: 5359-5378 - [c88]Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah:
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. NAACL-HLT 2022: 5393-5408 - [c87]Mycal Tucker, Roger Levy, Julie A. Shah, Noga Zaslavsky:
Trading off Utility, Informativeness, and Complexity in Emergent Communication. NeurIPS 2022 - [i40]Seth Karten, Siddharth Agrawal, Mycal Tucker, Dana Hughes, Michael Lewis, Julie Shah, Katia P. Sycara:
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication. CoRR abs/2201.07452 (2022) - [i39]Mycal Tucker, William Kuhl, Khizer Shahid, Seth Karten, Katia P. Sycara, Julie Shah:
Probe-Based Interventions for Modifying Agent Behavior. CoRR abs/2201.12938 (2022) - [i38]Mycal Tucker, Tiwalayo Eisape, Peng Qian, Roger Levy, Julie Shah:
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes. CoRR abs/2204.09722 (2022) - [i37]Yilun Zhou, Marco Túlio Ribeiro, Julie Shah:
ExSum: From Local Explanations to Model Understanding. CoRR abs/2205.00130 (2022) - [i36]Yilun Zhou, Julie Shah:
The Solvability of Interpretability Evaluation Metrics. CoRR abs/2205.08696 (2022) - [i35]Mycal Tucker, Julie Shah:
Prototype Based Classification from Hierarchy to Fairness. CoRR abs/2205.13997 (2022) - [i34]Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah:
Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations. CoRR abs/2206.04632 (2022) - [i33]Mycal Tucker, Julie Shah, Roger Levy, Noga Zaslavsky:
Towards Human-Agent Communication via the Information Bottleneck Principle. CoRR abs/2207.00088 (2022) - [i32]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, Melanie Mitchell, Julie Shah, Steven A. Sloman, Shannon Vallor, Toby Walsh:
Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report. CoRR abs/2210.15767 (2022) - [i31]Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press
, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller:
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence. CoRR abs/2211.06318 (2022) - 2021
- [j27]Lindsay Sanneman, Christopher K. Fourie, Julie A. Shah:
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions. Found. Trends Robotics 8(3): 225-306 (2021) - [c86]Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah:
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. AAAI 2021: 11423-11432 - [c85]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: 39-44 - [c84]Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah:
RoCUS: Robot Controller Understanding via Sampling. CoRL 2021: 850-860 - [c83]Shen Li, Daehyung Park, Yoonchang Sung, Julie A. Shah, Nicholas Roy:
Reactive Task and Motion Planning under Temporal Logic Specifications. ICRA 2021: 12618-12624 - [c82]Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia P. Sycara, Michael Lewis, Julie A. Shah:
Emergent Discrete Communication in Semantic Spaces. NeurIPS 2021: 10574-10586 - [c81]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 - [i30]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 abs/2102.08507 (2021) - [i29]Shen Li, Daehyung Park, Yoonchang Sung, Julie A. Shah, Nicholas Roy:
Reactive Task and Motion Planning under Temporal Logic Specifications. CoRR abs/2103.14464 (2021) - [i28]Ramya Ramakrishnan, Vaibhav V. Unhelkar
, Ece Kamar, Julie Shah:
A Bayesian Approach to Identifying Representational Errors. CoRR abs/2103.15171 (2021) - [i27]Yilun Zhou, Serena Booth, Marco Túlio Ribeiro, Julie Shah:
Do Feature Attribution Methods Correctly Attribute Features? CoRR abs/2104.14403 (2021) - [i26]Ankit J. Shah, Pritish Kamath, Shen Li, Patrick L. Craven, Kevin J. Landers, Kevin Oden, Julie Shah:
Supervised Bayesian Specification Inference from Demonstrations. CoRR abs/2107.02912 (2021) - [i25]Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia P. Sycara, Michael Lewis, Julie Shah:
Emergent Discrete Communication in Semantic Spaces. CoRR abs/2108.01828 (2021) - [i24]Lindsay Sanneman, Julie Shah:
Explaining Reward Functions to Humans for Better Human-Robot Collaboration. CoRR abs/2110.04192 (2021) - [i23]Yiming Zheng, Serena Booth, Julie Shah, Yilun Zhou:
The Irrationality of Neural Rationale Models. CoRR abs/2110.07550 (2021) - [i22]Shen Li, Theodoros Stouraitis, Michael Gienger, Sethu Vijayakumar, Julie A. Shah:
Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty. CoRR abs/2110.09584 (2021) - 2020
- [j26]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Eric Horvitz, Julie Shah:
Blind Spot Detection for Safe Sim-to-Real Transfer. J. Artif. Intell. Res. 67: 191-234 (2020) - [j25]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): 142-178 (2020) - [j24]Ankit Shah
, Shen Li
, Julie Shah:
Planning With Uncertain Specifications (PUnS). IEEE Robotics Autom. Lett. 5(2): 3414-3421 (2020) - [c80]Lindsay M. Sanneman, Julie A. Shah:
A Situation Awareness-Based Framework for Design and Evaluation of Explainable AI. EXTRAAMAS@AAMAS 2020: 94-110 - [c79]Vaibhav V. Unhelkar
, Shen Li, Julie A. Shah:
Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. HRI 2020: 329-341 - [c78]Ankit J. Shah
, Julie Shah:
Interactive Robot Training for Temporal Tasks. HRI (Companion) 2020: 603-605 - [i21]Serena Booth, Ankit Shah, Yilun Zhou, Julie Shah:
Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach. CoRR abs/2001.03076 (2020) - [i20]Mycal Tucker, Yilun Zhou, Julie Shah:
Adversarially Guided Self-Play for Adopting Social Conventions. CoRR abs/2001.05994 (2020) - [i19]Serena Booth, Yilun Zhou, Ankit J. Shah, Julie A. Shah:
Bayes-Probe: Distribution-Guided Sampling for Prediction Level Sets. CoRR abs/2002.10248 (2020) - [i18]Ankit Shah, Julie Shah:
Interactive Robot Training for Non-Markov Tasks. CoRR abs/2003.02232 (2020) - [i17]Lindsay M. Sanneman, Julie A. Shah:
Trust Considerations for Explainable Robots: A Human Factors Perspective. CoRR abs/2005.05940 (2020) - [i16]Lindsay Sanneman, Christopher K. Fourie, Julie A. Shah:
The State of Industrial Robotics: Emerging Technologies, Challenges, and Key Research Directions. CoRR abs/2010.14537 (2020) - [i15]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 abs/2011.10898 (2020) - [i14]Yilun Zhou, Serena Booth, Nadia Figueroa, Julie Shah:
RoCUS: Robot Controller Understanding via Sampling. CoRR abs/2012.13615 (2020)
2010 – 2019
- 2019
- [c77]Vaibhav V. Unhelkar
, Julie A. Shah:
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. AAAI 2019: 2522-2530 - [c76]Ramya Ramakrishnan, Ece Kamar, Besmira Nushi, Debadeepta Dey, Julie Shah, Eric Horvitz:
Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution. AAAI 2019: 6137-6145 - [c75]Vaibhav V. Unhelkar, Shen Li, Julie A. Shah:
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. CoRL 2019: 192-203 - [c74]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: 75-84 - [c73]Shen Li, Julie A. Shah:
Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction. ICRA 2019: 5012-5018 - [c72]Tariq Iqbal, Shen Li, Christopher K. Fourie, Bradley Hayes, Julie A. Shah:
Fast Online Segmentation of Activities from Partial Trajectories. ICRA 2019: 5019-5025 - [c71]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: 6533-6539 - [c70]Joseph Kim, Christian Muise, Ankit Shah
, Shubham Agarwal, Julie Shah:
Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations. IJCAI 2019: 5591-5598 - [c69]Serena Booth, Christian Muise, Julie Shah:
Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively. IJCAI 2019: 5801-5807 - [c68]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: 2213-2220 - [c67]Przemyslaw A. Lasota, Julie A. Shah:
Bayesian Estimator for Partial Trajectory Alignment. Robotics: Science and Systems 2019 - [c66]Yilun Zhou, Julie Shah, Steven Schockaert:
Learning Household Task Knowledge from WikiHow Descriptions. SemDeep@IJCAI 2019: 50-56 - [c65]Yilun Zhou, Steven Schockaert, Julie Shah:
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. WWW 2019: 2460-2471 - [i13]Yilun Zhou, Steven Schockaert, Julie A. Shah:
Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness. CoRR abs/1902.07831 (2019) - [i12]Ankit Shah, Shen Li, Julie Shah:
Planning With Uncertain Specifications (PUnS). CoRR abs/1906.03218 (2019) - [i11]Yilun Zhou, Derrik E. Asher, Nicholas R. Waytowich, Julie A. Shah:
On Memory Mechanism in Multi-Agent Reinforcement Learning. CoRR abs/1909.05232 (2019) - [i10]Yilun Zhou, Julie A. Shah, Steven Schockaert:
Learning Household Task Knowledge from WikiHow Descriptions. CoRR abs/1909.06414 (2019) - [i9]Elisabeth André
, Ana Paiva, Julie Shah, Selma Sabanovic:
Social Agents for Teamwork and Group Interactions (Dagstuhl Seminar 19411). Dagstuhl Reports 9(10): 1-46 (2019) - 2018
- [j23]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) - [j22]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: 1-49 (2018) - [j21]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): 2394-2401 (2018) - [j20]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): 72-81 (2018) - [j19]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): 1772-1784 (2018) - [j18]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): 1823-1838 (2018) - [j17]Matthew C. Gombolay
, Ronald Wilcox, Julie A. Shah:
Fast Scheduling of Robot Teams Performing Tasks With Temporospatial Constraints. IEEE Trans. Robotics 34(1): 220-239 (2018) - [c64]Ramya Ramakrishnan, Ece Kamar, Debadeepta Dey, Julie A. Shah, Eric Horvitz:
Discovering Blind Spots in Reinforcement Learning. AAMAS 2018: 1017-1025 - [c63]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: 4771-4779 - [c62]Vaibhav V. Unhelkar, Julie A. Shah:
Learning and Communicating the Latent States of Human-Machine Collaboration. IJCAI 2018: 5789-5790 - [c61]Kyle Kotowick, Julie Shah:
Modality Switching for Mitigation of Sensory Adaptation and Habituation in Personal Navigation Systems. IUI 2018: 115-127 - [c60]Ankit Shah, Pritish Kamath,