Director

Prof. Marco Pavone

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

Navid Azizan
Navid Azizan

Postdoctoral Scholar


Control meets learning

Somrita Banerjee
Somrita Banerjee

PhD Student


Planning and control for space robotics

Riccardo Bonalli
Riccardo Bonalli

Postdoctoral Scholar


Theoretical and numerical control for aerospace systems

Robin Brown
Robin Brown

PhD Student


Scalable algorithms for multi-agents systems

Andrew Bylard
Andrew Bylard

PhD Student


Leveraging geometric structure for reactive control and robot motion planning

Abhishek Cauligi
Abhishek Cauligi

PhD Student


Trajectory optimization and optimal control for robotic systems

Sandeep Chinchali
Sandeep Chinchali

Postdoctoral Scholar


Cloud Robotics

Robert Dyro
Robert Dyro

PhD Student


Robotic optimal control

Amine Elhafsi
Amine Elhafsi

PhD Student


Planning and control for safe robotic navigation

James Harrison
James Harrison

PhD Student


Safe robotic learning

Boris Ivanovic
Boris Ivanovic

PhD Student


Deep learning and robotics

Devansh Jalota
Devansh Jalota

PhD Student


Algorithmic game theory, market design and optimization

Benoit Landry
Benoit Landry

PhD Student


Optimal control, optimization and UAVs

Karen Leung
Karen Leung

PhD Student


Formal methods for safe robot planning

Thomas Lew
Thomas Lew

PhD Student


Safe learning, planning and control for uncertain systems

Joseph Lorenzetti
Joseph Lorenzetti

PhD Student


Robotic optimal control

Justin Luke
Justin Luke

PhD Student


Grid integration of electric autonomous mobility on demand

Rachel Luo
Rachel Luo

PhD Student


Uncertainty quantification for computer vision and robotics

Spencer M. Richards
Spencer M. Richards

PhD Student


Safe learning-based control, in theory and practice

Stephanie Schneider
Stephanie Schneider

PhD Student


Motion planning for autonomous and unconventional space robotics

Apoorva Sharma
Apoorva Sharma

PhD Student


Uncertainty-aware robotic learning and control

Rohan Sinha
Rohan Sinha

PhD Student


Safe learning-based control

Kiril Solovey
Kiril Solovey

Postdoctoral Scholar


Algorithms for motion planning, multi-robot systems, and autonomous mobility on demand

Matt Tsao
Matt Tsao

PhD Student


Combinatorial optimization and transportation science

Lucas Valenzuela
Lucas Valenzuela

PhD Student


Optimal management of societal infrastructure

Kaidi Yang
Kaidi Yang

Postdoctoral Scholar


Emerging technologies and shared mobility

Alumni

Mo Chen
Mo Chen

Simon Fraser University

Ross Allen
Ross Allen

MIT Lincoln Labs (via SpaceX)

Yinlam Chow
Yinlam Chow

Google DeepMind

Ben Hockman
Ben Hockman

NASA Jet Propulsion Laboratory

Brian Ichter
Brian Ichter

Google Brain Robotics

Anirudha Majumdar
Anirudha Majumdar

Princeton University

Federico Rossi
Federico Rossi

NASA Jet Propulsion Laboratory

Mauro Salazar
Mauro Salazar

Eindhoven University of Technology

Edward Schmerling
Edward Schmerling

Waymo Research

Sumeet Singh
Sumeet Singh

Google Brain

Joseph A. Starek
Joseph A. Starek

Nuro (via Space Systems Loral)

Matteo Zallio
Matteo Zallio

University of Cambridge

Rick Zhang
Rick Zhang

Zoox, Inc.

Visiting Faculty, Scholars, and Students

  • Nicoletta Bof.

    University of Padova.

  • Felix Böwing.

    ETH Zürich.

  • Jan Carius.

    ETH Zürich.

  • Roman Engeler.

    ETH Zürich.

  • Alvaro Estandia Hentschel.

    ETH Zürich.

  • Javier V. Gómez.

    Universidad Carlos III de Madrid.

  • Keita Kobashi.

    Tohoku University.

  • Sarah Laamimach.

    Technical University of Munich.

  • Nicolas Lanzetti.

    ETH Zürich.

  • Thomas Lew.

    ETH Zürich. Now an ASL PhD student.

  • Layla Martin.

    Technical University of Munich.

  • Dejan Milojevic.

    ETH Zürich.

  • 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.

  • Maximilian Schiffer (visiting professor).

    Technical University of Munich.

  • Jan Schilliger.

    ETH Zürich.

  • Mauro Salazar Villalon.

    ETH Zürich. Now an ASL Postdoctoral Scholar.

  • Wolf Vollprecht.

    ETH Zürich

  • Ji Hyun Yang (visiting professor).

    Kookmin University.

  • Matteo Zallio.

    Technological University Dublin.

  • Gioele Zardini.

    ETH Zürich.

  • Jannik Zgraggen.

    EPFL.

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.