Allison Okamura
Also known as Allison M. Okamura
Allison Okamura is a Stanford mechanical engineering professor whose work connects touch feedback with robots that learn from human demonstrations. She earned her doctorate at Stanford in 2000, worked on surgical robotics at Johns Hopkins, and joined Stanford's faculty in 2011. Her projects include vine-inspired robots that grow from their tips and Haptiknit, a knitted sleeve that delivers touch feedback. In 2022, she coauthored a study showing that touch feedback during human demonstrations improved a robot's learned door-opening policy. She was named the 2026 Robotics Medal recipient for research in haptics, medical robotics, and robot design, as well as robotics education and mentorship of women.
- Now at
- Stanford University
- Works
- 565
- Citations
- 22,829
- h-index
- 74
- Badges
Publication numbers from OpenAlex, as of 27 October 2026.
Timeline
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1994–2000
Engineering degrees in California
Born in Fontana, California, she grows up in Riverside. She earns a BS in mechanical engineering at UC Berkeley in 1994 and an MS in 1996 and PhD in 2000 at Stanford. Her doctoral advisor is Mark Cutkosky, with whom she studies how robotic fingers manipulate objects and map their surfaces.
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2000–2011
Medical robotics at Johns Hopkins
In 2000, she joins Johns Hopkins University's Department of Mechanical Engineering as an assistant professor. Through its engineering research center for computer-integrated surgical systems and technology, she studies touch feedback for surgeons who use the da Vinci robot. Her Johns Hopkins roles include professor and vice chair of mechanical engineering.
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2011–2012
Teaching medical robotics at Stanford
She joins Stanford's faculty in July 2011. In April 2012, she teaches a new Medical Robotics class with Federico Barbagli.
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2017
A robot that grows
In 2017, she works with Elliot Hawkes and colleagues at Stanford and UC Santa Barbara on the study “A soft robot that navigates its environment through growth.” The vine-inspired tubular robot extends its tip and steers in response to external sensing.
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2022
Touch feedback for robot learning
In 2022, she coauthors a deep imitation learning study with Catie Cuan and Mohi Khansari. The team finds that touch feedback during human demonstrations improves training data collection and the learned policy for a robot that opens doors.
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December 2024
The Haptiknit touch sleeve
In December 2024, she is senior author of the Haptiknit study in Science Robotics. Developed with colleagues at Stanford and MIT, the knitted sleeve uses small inflatable pouches to deliver touch feedback.
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2026
The Robotics Medal
In 2026, MassRobotics names her the Robotics Medal recipient for research in haptics, medical robotics, and robot design, as well as robotics education and mentorship of women.
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As of October 2026
Stanford professor and robotics leader
As of October 2026, she is the Richard W. Weiland Professor of Engineering in Stanford's Department of Mechanical Engineering, with a courtesy appointment in computer science. Her research includes haptics, teleoperation, medical robotics, soft robotics, and rehabilitation. She serves on the Stanford Robotics Center's executive committee and leads the IEEE Robotics and Automation Society's Science and Technology Watch Board.
Career
- NowStanford UniversityRichard W. Weiland Professor of Engineering; Courtesy Appointment in Computer Science, Executive Committee Member
- 2000–2011Johns Hopkins UniversityAssistant Professor of Mechanical Engineering, Professor and Vice Chair of Mechanical Engineering
Education
- 2000Stanford UniversityPhD
- 1996Stanford UniversityMS
- 1994University of California, BerkeleyBS in Mechanical Engineering
Sources and credits
Photo: We have no published photo of Allison Okamura yet. Send us a free-licensed photo.
- Allison Okamura's Profile | Stanford Profiles
- Oral-History:Allison Okamura - Engineering and Technology History Wiki
- CHARM LAB Main/Lab News 2011-12
- A Robot That Grows | The Current
- [2211.03020v1] Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models
- New knit haptic sleeve simulates realistic touch | Stanford University School of Engineering
- MassRobotics Announces Recipients of 2026 Robotics Medal Recognizing Accomplishments of Women in Robotics - MassRobotics
- CHARM LAB Main/Allison Okamura



