Prof. Julie A Shah
H N Slater Professor of Aeronautics and Astronautics
Department Head / Aeronautics and Astronautics
Bisplinghoff Faculty Fellow
Bisplinghoff Faculty Fellow
Primary DLC
Department of Aeronautics and Astronautics
MIT Room:
31-245
Areas of Interest and Expertise
Autonomous Systems
Human-Robot Collaboration
AI Planning and Scheduling
Interactive Robotics for Aerospace, Medical, and Manufacturing
Human-Robot Collaboration
AI Planning and Scheduling
Interactive Robotics for Aerospace, Medical, and Manufacturing
Research Summary
Shah and her team at the Interactive Robotics Group conduct research that aims to imagine the future of work by designing collaborative robot teammates that enhance human capability. She is expanding the use of human cognitive models for artificial intelligence and has translated her work to manufacturing assembly lines, health-care applications, transportation, and defense. In 2020, Shah co-authored the popular book “What to Expect When You’re Expecting Robots,” which explores the future of human-robot collaboration.
As an expert on how humans and robots interact in the workforce, Shah was named co-director of the Work of the Future Initiative, a successor group of MIT’s Task Force on the Work of the Future, alongside Ben Armstrong, executive director and research scientist at MIT’s Industrial Performance Center. In March of this year, Shah was named a co-leader of the Working Group on Generative AI and the Work of the Future, alongside Armstrong and Kate Kellogg, the David J. McGrath Jr. Professor of Management and Innovation. The group is examining how generative AI tools can contribute to higher-quality jobs and inclusive access to the latest technologies across sectors.
As an expert on how humans and robots interact in the workforce, Shah was named co-director of the Work of the Future Initiative, a successor group of MIT’s Task Force on the Work of the Future, alongside Ben Armstrong, executive director and research scientist at MIT’s Industrial Performance Center. In March of this year, Shah was named a co-leader of the Working Group on Generative AI and the Work of the Future, alongside Armstrong and Kate Kellogg, the David J. McGrath Jr. Professor of Management and Innovation. The group is examining how generative AI tools can contribute to higher-quality jobs and inclusive access to the latest technologies across sectors.
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Projects
April 1, 2024
Generative AI and the Work of the Future
Principal Investigators Ben Armstrong , Julie Shah , Katherine Kellogg
July 10, 2023Department of Aeronautics and AstronauticsGenerative AI and Work of the Future Study
Principal Investigators Julie Shah , Ben Armstrong
January 20, 2017Department of Aeronautics and AstronauticsModels and Instruments for Integrating Effective Human-Robot Teams into Manufacturing
Principal Investigator Julie Shah
January 20, 2017Department of Aeronautics and AstronauticsHuman-Aware Autonomy for Team-Oriented Environments
Principal Investigator Julie Shah
February 21, 2014Department of Aeronautics and AstronauticsAdaptive Motion Planning and Decision-Making for Human-Robot Collaboration in Manufacturing
Principal Investigator Julie Shah
February 11, 2014Department of Aeronautics and AstronauticsFast Scheduling of Human-Robot Teams with Temporospatial Constraints
Principal Investigator Julie Shah
February 11, 2014Department of Aeronautics and AstronauticsIntelligent Machine Participation in Human Meetings
Principal Investigator Julie Shah
February 11, 2014Department of Aeronautics and AstronauticsMobile Robotic Assistants for Manufacturing Environments
Principal Investigator Julie Shah
August 11, 2011Department of Aeronautics and AstronauticsInteractive Robotics Group
Principal Investigator Julie Shah
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Books
Publication date: October 13, 2020BooksWhat To Expect When You're Expecting Robots: The Future of Human-Robot Collaboration
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Video
2.28-29.24-Ethics-Shah
Generative AI, Ethics and Work of the Future 10.25.23-Digital-Shah
AI Ethics and Ethical Computing Platform 5.5.22-Efficient-AI-Julie-Shah
Julie Shah
Associate Professor of Aeronautics and Astronautics2021-Vienna-Julie-Shah
Julie Shah
Associate Professor of Aeronautics and AstronauticsShah-Japan-1.22.2021
Julie Shah
Associate Professor of Aeronautics and AstronauticsJulie Shah - 2019 RD Conference
Enhancing Human Capability with Intelligent Machine Teammates
Every team has top performers -- people who excel at working in a team to find the right solutions in complex, difficult situations. These top performers include nurses who run hospital floors, emergency response teams, air traffic controllers, and factory line supervisors. While they may outperform the most sophisticated optimization and scheduling algorithms, they cannot often tell us how they do it. Similarly, even when a machine can do the job better than most of us, it can’t explain how. In this talk I share recent work investigating effective ways to blend the unique decision-making strengths of humans and machines. I discuss the development of computational models that enable machines to efficiently infer the mental state of human teammates and thereby collaborate with people in richer, more flexible ways. Our studies demonstrate statistically significant improvements in people’s performance on military, healthcare and manufacturing tasks, when aided by intelligent machine teammates.
2019 MIT Research and Development Conference