Introducing JackRabbot

The social navigation Robot

Stanford Vision and Learning Lab


Humans have the innate ability to "read" one another. When people walk in a crowed public space such as a sidewalk, an airport terminal, or a shopping mall, they obey a large number of (unwritten) common sense rules and comply with social conventions. For instance, as they consider where to move next, they respect personal space and yield right-of-way. The ability to model these “rules” and use them to understand and predict human motion in complex real world environments is extremely valuable for the next generation of social robots.

Our work at the CVGL is making practical a new generation of autonomous agents that can operate safely alongside humans in dynamic crowded environments such as terminals, malls, or campuses.  This enhanced level of proficiency opens up a broad new range of applications where robots can replace or augment human efforts. One class of tasks now susceptible to automation is the delivery of small items – such as purchased goods, mail, food, tools and documents – via spaces normally reserved for pedestrians.

In this project, we are exploring this opportunity by developing a demonstration platform to make deliveries locally within the Stanford campus.  The Stanford “Jackrabbot”, which takes it name from the nimble yet shy Jackrabbit, is a self-navigating automated electric delivery cart capable of carrying small payloads. In contrast to autonomous cars, which operate on streets and highways, the Jackrabbot is designed to operate in pedestrian spaces, at a maximum speed of five miles per hour.

NEWS & Press release


Silvio Savarese

Assistant Professor

Roberto Martín-Martín

Postdoctoral Researcher

Patrick Goebel

Research Scientist

Alan Federman

Systems Integration Engineer

Amir Sadeghian

PhD Candidate

JunYoung Gwak

PhD Candidate

Kevin Chen

PhD candidate

Pin Pin Tea-mangkornpan

PhD Candidate

Xiaoxue Zang

Master's Student

Richard Martinez

Master’s Student

Ashwini Pokle

Master's Student

Zhangyuan Wang

Master's Student

Max Chang

Undergraduate Student

Vineet Kosaraju

Undergraduate Student Web

Ella Hofmann-Coyle

Undergraduate Student

Amy Chou

Undergraduate Student

Mihir Patel

Undergraduate Student

Michael Abbot

Visiting Scholar

Noriaki Hirose

Visiting Scholar
Toyota Central R&D

Seyed Hamid Rezatofighi

Endeavour Research Fellow

Tin Tin Wisniewski

Faculty Administrator and Coordinator


Alexandre Alahi

Assistant Professor (EPFL)

Marynel Vázquez

Assistant Professor (Yale University)

Vignesh Ramanthan

Research Scientist

Lin Sun

Visiting Student
PhD Candidate, HKUST 

Alexander Robicquet

Master's Student

Zhenkai Wang

Master's Student

Junwei Yang

Master's Student

Agrim Gupta

Master's Student

Chris Cruise

Master's Student

Hans Magnus Espelund Ewald

Master's Student

Vincent Chow

Master's Student

Isabella Phung

High School Student

Neha Govil

High School Student


Datasets and Code

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JR at the dressing room!

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We acknowledge the support of ONR, MURI, Toyota and Panasonic.

Contact :
Last update : 10/25/2018