Alice Agogino
Alice Agogino is a mechanical engineer whose AI research connects expert systems, machine learning, and robotics. She earned a mechanical-engineering bachelor's degree in 1975, completed a Stanford Ph.D. in 1984, and joined Berkeley's faculty as an assistant professor in 1984. Her 1987 expert-system paper with Lambert presented a graphical interface for influence diagrams, and she was elected to the National Academy of Engineering in 1997 for applying AI to manufacturing and reforming engineering education. NASA funded her Berkeley lab in 2014 for tensegrity-robot mobility research, and by 2018 she led Berkeley and Squishy Robotics researchers in developing shape-shifting robots that could survive falls from 600 feet. As of October 2026, she is Professor of the Graduate School at UC Berkeley and CEO of Squishy Robotics, with a Fall 2026 project applying machine learning to methane-leak detection.
- Now at
- University of California, Berkeley and Squishy Robotics
- Works
- 341
- Citations
- 10,333
- h-index
- 44
Publication numbers from OpenAlex, as of 18 October 2026.
Timeline
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1975
An engineering degree
She earns a bachelor's degree in mechanical engineering in 1975.
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1984
Doctorate and Berkeley appointment
She completes a Ph.D. in engineering-economic systems at Stanford and joins Berkeley's mechanical-engineering faculty as an assistant professor in 1984.
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1987
An expert system interface
Her 1987 paper with M. Lambert presents a graphical interface to an influence-diagram-based expert system.
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1995–1999
Associate dean
From 1995 to 1999, she serves as associate dean of Berkeley's College of Engineering.
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1997
National Academy election
She is elected to the National Academy of Engineering in 1997 for applying artificial intelligence to manufacturing and reforming engineering education.
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2014
NASA tensegrity research
NASA awards Agogino and her UC Berkeley lab Early Stage Innovations funding in 2014 to research tensegrity-robot mobility using gas thrusters.
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By 2018
Impact-resistant tensegrity robots
By 2018, she leads researchers at Berkeley and Squishy Robotics in developing shape-shifting robots that can drop 600 feet and remain unscathed.
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As of October 2026
Professor and robotics CEO
As of October 2026, she is Professor of the Graduate School at UC Berkeley and CEO of Squishy Robotics. Her Fall 2026 URAP project applies machine learning to methane-leak detection.
Career
- Since 1984University of California, BerkeleyAssistant Professor, Associate Dean
- NowSquishy RoboticsCEO
- 2014–2016University of California, Santa Cruz
- 2014–2021NASA
Education
- 1984Stanford UniversityPhD
Most-cited works
- Engineering Design Thinking, Teaching, and Learning
- Beyond Bias and Barriers: Fulfilling the Potential of Women in Academic Science and Engineering
- Chez Panisse: Building an Open Innovation Ecosystem
- System design and locomotion of SUPERball, an untethered tensegrity robot
- Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly
Sources and credits
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- Alice Agogino
- Alice M. Agogino – Education and Professional Employment
- Alice M. Agogino – Publications
- Alice M. Agogino – Honors and Awards
- NASA Ames Astrogram – May/June 2023
- Alice Agogino: Diversity by design
- Squishy Robotics AI for Good: Machine Learning and Data Science for Deployable Robot-Driven Sensing and Detection of Methane Leaks
- Alice M. Agogino | Research UC Berkeley
- About – Squishy Robotics



