Director

Prof. Marco Pavone

Associate Professor, Department of Aeronautics and Astronautics

Director, Autonomous Systems Laboratory

Director, Center for Automotive Research at Stanford (CARS)

Associate Professor (by courtesy), Information Systems Laboratory

Associate Professor (by courtesy), Computer Science

Associate Professor (by courtesy), Institute for Computational and Mathematical Engineering (ICME)

Ph.D. Massachusetts Institute of Technology, 2010

Email: [last name]@stanford.edu

Phone: +1 (650) 723 4432

Research Team

Chris Agia

PhD Student

Robot learning, integrated task & motion planning

John Alora

PhD Student

Control of infinite-dimensional systems

Somrita Banerjee

PhD Student

Planning and control for space robotics

Hugo Buurmeijer

PhD Student

Optimal and learning-based control of high-dimensional robots

Amine Elhafsi

PhD Student

Planning and control for safe robotic navigation

Daniele Gammelli

Postdoctoral Scholar

Learning-based control, mobility systems, autonomous spacecraft

Devansh Jalota

PhD Student

Algorithmic game theory, market design and optimization

Ruolin Li

Postdoctoral Scholar

Future Mobility Systems; Game Theory; Autonomous Vehicles

Justin Luke

PhD Student

Grid integration of electric autonomous mobility-on-demand fleets

Rachel Luo

PhD Student

Uncertainty quantification for computer vision and robotics

Daniel Morton

PhD Student

Optimal and learning-based control, manipulation, space robotics

Luis A. Pabon

PhD Student

Data-driven control of high-dimensional systems

Rohan Sinha

PhD Student

Trustworthy autonomy and out-of-distribution generalization

Lucas Valenzuela

PhD Student

Optimal management of societal infrastructure

Gioele Zardini

Postdoctoral Scholar

Autonomy, Co-Design, Mobility, Formal Methods

External Research Affiliates

Alumni

Karen Leung

University of Washington (via NVIDIA Research)

Visiting Faculty, Scholars, and Students

Nicoletta Bof.

University of Padova.
Felix Böwing.

ETH Zürich.
Jan Carius.

ETH Zürich.
Davide Celestini.

Politecnico di Torino.
Claudia Conte.

University of Naples Federico II.
Roman Engeler.

ETH Zürich.
Zhe Fu.

University of California, Berkeley.
Javier V. Gómez.

Universidad Carlos III de Madrid.
Alvaro Estandia Hentschel.

ETH Zürich.
Dominik Helmreich.

ETH Zürich.
Keita Kobashi.

Tohoku University.
Sarah Laamimach.

Technical University of Munich.
Nicolas Lanzetti.

ETH Zürich.
Thomas Lew.

ETH Zürich. Now an ASL PhD student.
Florian Mahlknecht.

ETH Zürich.
Layla Martin.

Technical University of Munich.
Jonas Matt.

ETH Zürich.
Dejan Milojevic.

ETH Zürich.
Luca Paparusso.

Politecnico Di Milano.
Ernesto Poccia.

Scuola Superiore di Studi Universitari e di Perfezionamento Sant'Anna di Pisa.
Wolfgang Pointner.

Upper Austria University of Applied Sciences.
Simon Romanski.

Karlsruhe Institute of Technology.
Tim Salzmann.

Technical University of Munich.
Simon Schaefer.

ETH Zürich.
Benedikt Schesch.

ETH Zürich.
Maximilian Schiffer (visiting professor).

Technical University of Munich.
Jan Schilliger.

ETH Zürich.
Carolin Schmidt.

Technical University of Denmark.
Mauro Salazar Villalon.

ETH Zürich.
Wolf Vollprecht.

ETH Zürich
Ji Hyun Yang (visiting professor).

Kookmin University.
Matteo Zallio.

Technological University Dublin.
Gioele Zardini.

ETH Zürich.
Jannik Zgraggen.

EPFL.

Statement of Diversity, Equity, and Inclusivity

As researchers and teachers, we in the Autonomous Systems Lab recognize the importance and value of having diversity in our research group and the value of having members from all walks of life. Both in our day-to-day activities and research itself, we seek to be inclusive and mindful of this diversity in the lab, the classroom, and in our interactions. Further, we acknowledge that educating ourselves on the matters of inclusivity and diversity is a life-long learning process that must be a part of our entire research and professional careers. To this end, the Autonomous Systems Lab is committed to fostering the following principles to maintain an inclusive and vibrant environment on a daily basis:

We affirm all people, regardless of their age, culture, race, ethnic origin, religion, sexual orientation, gender, gender identity, disabilities, marital status, nationality, and socioeconomic status.
We strive to maintain an environment of mutual respect for every member of the lab and community and one that rejects discrimination, prejudice, and intolerance.
We commit to continuously educating ourselves and seek to incorporate ideas of diversity and inclusivity to our daily conversations on the broader impacts of our research.

Finally, in order to ensure that we hold ourselves accountable and continue to uphold these principles beyond the current moment, we commit to holding meetings and events on a quarterly basis, dedicated to reflecting on the lab's diversity and culture and making changes as necessary.