Introducing JackRabbot

The social navigation Robot


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

Amir Sadeghian

PhD Candidate

Patrick Goebel

Research Scientist

Marynel Vázquez

Postdoctoral Researcher

Michael Abbot

Visiting Scholar

Noriaki Hirose

Visiting Scholar
Toyota Central R&D

Zhenkai Wang

Master Student

Junwei Yang

Master Student


Master Student

Hans Magnus Espelund Ewald

Master's Student

Ferdinand Legros

Master's Student Web

Xiaoxue Zang

Master's Student

Maxime Alexandre Voisin

Master's Student

Isabella Phung

Highschool Student

Miriam Haart

Designership Fellow Web


Alexandre Alahi

Assistant Professor EPFL
alexandre.alahi at epfl dot ch

Alexander Robicquet

Master's Student

Chris Cruise

Master's Student


Research Scientist

Lin Sun

Visiting Student
PhD Candidate, HKUST 


Dataset and Code

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

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Last update : 10/24/2017