Publications – Interactive Robotics Group

2024

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Journal Article

Christopher Fourie
,

Nadia Figueroa
,

Julie Shah
,

On-Manifold Strategies for Reactive Dynamical System Modulation with Non-Convex Obstacles

IEEE Transactions on Robotics

Vol.
PP

pp.
1-20

01
2023

|

Conference Proceedings

Yilun Zhou
,

Julie Shah
,

The Solvability of Interpretability Evaluation Metrics

Findings of the Association for Computational Linguistics: EACL

05/2023
2023

|

Conference Proceedings

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

Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI)

Washington, D.C.

02/2023
2023

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Workshop Paper

Tiffany Horter
,

Elena L. Glassman
,

Julie Shah
,

Serena Booth
,

Varying How We Teach: Adding Contrast Helps Humans Learn about Robot Motions

ACM/IEEE International Conference on Human-Robot Interaction (HRI)
2022

|

Conference Paper

Yanwei Wang
,

Nadia Figueroa
,

Shen Li
,

Ankit Shah
,

Julie Shah
,

Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations

6th Annual Conference on Robot Learning, Auckland, New Zealand

12/2022
2022

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Conference Paper

Yilun Zhou
,

Marco Tulio Ribeiro
,

Julie Shah
,

ExSum: From Local Explanations to Model Understanding

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

07/2022
2022

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Conference Paper

Serena Booth
,

Sanjana Sharma
,

Sarah Chung
,

Julie Shah
,

Elena L. Glassman
,

Revisiting Human-Robot Teaching and Learning Through the Lens of Human Concept Learning Theory

ACM/IEEE International Conference on Human-Robot Interaction (HRI)

03/2022
2022

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Conference Paper

Yilun Zhou
,

Serena Booth
,

Marco Tulio Ribeiro
,

Julie Shah
,

Do Feature Attribution Methods Correctly Attribute Features?

Proceedings of the 36th AAAI Conference on Artificial Intelligence

02/2022
2022

|

Conference Paper

Serena Booth
,

W B Knox
,

Julie Shah
,

Scott Niekum
,

Peter Stone
,

Alessandro Allievi
,

Extended Abstract: Graduate Student Descent Considered Harmful? A Proposal for Studying Overfitting in Reward Functions

The Multi-disciplinary Conference on Reinforcement Learning and Decision Making

Providence, RI
2022

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Conference Paper

W B Knox
,

Stephane Hatgis-Kessell
,

Serena Booth
,

Scott Niekum
,

Peter Stone
,

Alessandro Allievi
,

Extended Abstract: Partial Return Poorly Explains Human Preferences

The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM)

Providence, RI
2022

|

Journal Article

Shen Li*
,

Theodoros Stouraitis*
,

Michael Gienger
,

Sethu Vijayakumar
,

Julie A. Shah
,

Set-based State Estimation with Probabilistic Consistency Guarantee under Epistemic Uncertainty

IEEE Robotics and Automation Letters (RA-L)

Vol.
7

03/2022
2022

|

Workshop Paper

Yiming Zheng
,

Serena Booth
,

Julie Shah
,

Yilun Zhou
,

The Irrationality of Neural Rationale Models

Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

07/2022
2022

|

Workshop Paper

Yanwei Wang
,

Ching-Yun Ko
,

Pulkit Agrawal
,

Visual Pre-training for Navigation: What Can We Learn from Noise?

Thirty-sixth Annual Conference on Neural Information Processing Systems, New Orleans, LA
2021

|

Conference Proceedings

Yilun Zhou
,

Serena Booth
,

Nadia Figueroa
,

Julie Shah
,

RoCUS: Robot Controller Understanding via Sampling

Conference on Robot Learning (CoRL)

London, UK

11/2021
2021

|

Conference Proceedings

Shen Li
,

Nadia Figueroa
,

Ankit Shah
,

Julie A. Shah
,

Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics

Robotics: Science and Systems (R:SS)

07/2021
2021

|

Conference Proceedings

Shen Li*
,

Daehyung Park*
,

Yoonchang Sung*
,

Julie Shah
,

Nicholas Roy
,

Reactive Task and Motion Planning under Temporal Logic Specifications

IEEE International Conference on Robotics and Automation (ICRA)

06/2021
2021

|

Conference Proceedings

Serena Booth*
,

Yilun Zhou*
,

Ankit Shah
,

Julie Shah
,

Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example

AAAI Conference on Artificial Intelligence
2021

|

Conference Proceedings

Aspen Hopkins*
,

Serena Booth*
,

Machine learning practices outside big tech: How resource constraints challenge responsible development

Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
2021

|

Journal Article

Alan FT Winfield
,

Serena Booth
,

Louise A Dennis
,

Takashi Egawa
,

Helen Hastie
,

Naomi Jacobs
,

Roderick I Muttram
,

Joanna I Olszewska
,

Fahimeh Rajabiyazdi
,

Andreas Theodorou
,

Mark Underwood
,

Robert H Wortham
,

Eleanor Watson
,

IEEE P7001: a proposed standard on transparency

Frontiers in Robotics and AI

pp.
225
2021

|

Thesis

Dain Kim
,

Imitation Learning for Sequential Manipulation Tasks: Leveraging Language and Perception

Department of Electrical Engineering and Computer Science

Vol.
M. Eng
2021

|

Workshop Paper

Serena Booth
,

Sanjana Sharma
,

Sarah Chung
,

Julie Shah
,

Elena L. Glassman
,

How to Understand Your Robot: A Design Space Informed by Human Concept Learning

International Conference on Robotics and Automation (ICRA)

05/2021
2020

|

Conference Proceedings

Vaibhav V Unhelkar*
,

Shen Li*
,

Julie A. Shah
,

Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks

Human-Robot Interaction (HRI)

03/2020
2020

|

Workshop Paper

Serena Booth*
,

Ankit Shah*
,

Yilun Zhou*
,

Julie Shah
,

Sampling Prediction-Matching Examples in Neural Networks: A Probabilistic Programming Approach

AAAI
2020

|

Workshop Paper

Christian Muise
,

Salomón Wollenstein-Betech
,

Serena Booth
,

Julie Shah
,

Yasaman Khazaen
,

Modeling Blackbox Agent Behaviour via Knowledge Compilation

AAAI Conference on Artificial Intelligence
2019

|

Conference Proceedings

Vaibhav V Unhelkar*
,

Shen Li*
,

Julie A. Shah
,

Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration

Conference on Robot Learning (CoRL)

10/2019
2019

|

Conference Proceedings

Serena Booth
,

Christian Muise
,

Julie Shah
,

Evaluating the Interpretability of the Knowledge Compilation Map: Communicating Logical Statements Effectively

International Joint Conference on Artificial Intelligence (IJCAI)

Macau, China

08/2019
2019

|

Conference Proceedings

Joseph Kim
,

Christian Muise
,

Ankit Shah
,

Shubham Agarwal
,

Julie Shah
,

Bayesian Inference of Linear Temporal Logic Specifications for Contrastive Explanations

International Joint Conference on Artificial Intelligence (IJCAI)

Macau, China

08/2019
2019

|

Conference Proceedings

Przemyslaw A. Lasota
,

Julie A. Shah
,

Bayesian Estimator for Partial Trajectory Alignment

Robotics: Science and Systems [31% Acceptance Rate]

06/2019
2019

|

Conference Proceedings

Tariq Iqbal
,

Shen Li
,

Christopher Fourie
,

Bradley Hayes
,

Julie A. Shah
,

Fast Online Segmentation of Activities from Partial Trajectories

International Conference on Robotics and Automation (ICRA)

05/2019
2019

|

Conference Proceedings

Shen Li
,

Julie A. Shah
,

Safe and Efficient High Dimensional Motion Planning in Space-Time with Time Parameterized Prediction

International Conference on Robotics and Automation (ICRA)

05/2019
2019

|

Conference Proceedings

Yilun Zhou
,

Steven Schockaert
,

Julie A. Shah
,

Predicting ConceptNet Path Quality Using Crowdsourced Assessments of Naturalness

The Web Conference (WWW)

San Francisco, CA

05/2019
2019

|

Conference Proceedings

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

Association for the Advancement of Artificial Intelligence

01/2019
2019

|

Conference Proceedings

Vaibhav V. Unhelkar
,

Julie A. Shah
,

Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior

AAAI Conference on Artificial Intelligence (AAAI)

Honolulu, Hawaii
2019

|

Workshop Paper

Yilun Zhou
,

Julie Shah
,

Steven Schockaert
,

Learning Household Task Knowledge from WikiHow Descriptions

International Joint Conference on Artificial Intelligence (IJCAI)

08/2019
2018

|

Conference Proceedings

Joseph Kim
,

Matthew E. Woicik
,

Matthew C. Gombolay
,

Sung-Hyun Son
,

Julie A. Shah
,

Learning to Infer Final Plans in Human Team Planning

International Joint Conferences on Artificial Intelligence (IJCAI)

07/2018
2018

|

Conference Proceedings

Ramya Ramakrishnan
,

Ece Kamar
,

Debadeepta Dey
,

Julie Shah
,

Eric Horvitz
,

Discovering Blind Spots in Reinforcement Learning

International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

07/2018
2018

|

Conference Proceedings

Ankit Shah
,

Pritish Kamath
,

Shen Li
,

Julie Shah
,

Bayesian Inference of Temporal Task Specifications from Demonstrations

Conference on Neural Information Processing Systems

Montreal, Canada
2018

|

Journal Article

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 and Automation Letters (RA-L)

Vol.
3

pp.
8

07/2018
2018

|

Journal Article

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 and Automation Magazine (RAM)

Vol.
25

05/2018
2018

|

Journal Article

Matthew Gombolay
,

Ronald Wilcox
,

Julie Shah
,

Fast Scheduling of Robot Teams Performing Tasks with Temporospatial Constraints

IEEE Transactions on Robotics (T-RO)

Vol.
34

pp.
220-239

02/2018