People

Mykel Kochenderfer
Faculty
Decision making under uncertainty
Ransalu Senanayake
Postdoctoral Scholar
Safe interactions of autonomous systems (Toyota)
Anthony Corso
Postdoctoral Scholar
Black box safety validation
Patrick Slade
Ph.D. Candidate
Bayesian reinforcement learning (NSF/Toyota)
Chelsea Sidrane
Ph.D. Candidate
Safety and verification in deep learning (DARPA)
Masha Itkina
Ph.D. Candidate
Probabilistic perception models for automated driving (Ford)
Xiaobai Ma
Ph.D. Candidate
Automated driving simulation and control (SAIC)
Jean-Raymond Betterton
Ph.D. Candidate
Deep reinforcement learning for adaptive illumination (SLAC)
John Mern
Ph.D. Candidate
Hierarchical reinforcement learning (Army)
Chris Lazarus
Ph.D. Candidate
Safety of autonomous systems (GE)
Sheng Li
Ph.D. Candidate

Aircraft collision avoidance in ultra-dense airspace (Airbus)

Oriana Peltzer
Ph.D. Candidate
Multiagent scheduling, planning, and control (Siemens)
Mery Toyungyernsub
Ph.D. Candidate
Imitation learning
Arec Jamgochian
Ph.D. Candidate
Planning under uncertainty for haptics
Tomer Arnon
Ph.D. Candidate
Neural network verification
Sydney Katz
Ph.D. Candidate
Urban air mobility (Airbus)
Bernard Lange
Ph.D. Candidate
Deep learning for automotive perception (Ford)
Soyeon Jung
Ph.D. Candidate
Probabilistic airspace modeling
Victoria Dax
Ph.D. Candidate
Automated driving safety
Ross Alexander
Ph.D. Candidate
Connected vehicles (Ford)
Anıl Yıldız
Ph.D. Candidate
Dynamic resource allocation (SEA)
Robert Moss
Graduate Student
Validation of autonomous systems
Liam Kruse
Graduate Student
Planning with latent agent behavior (Qualcomm)
Joshua Ott
Graduate Student
Autonomous subterranean exploration
Harrison Delecki
Graduate Student
Autonomous subterranean exploration
Marc Schlichting
Graduate Student
Kyle Hatch
Graduate Student
Deep reinforcement learning
Ahmed Ahmed
Graduate Student
Monocular depth estimation for collision avoidance
Grace Kim
Stanford Undergraduate Research Fellow
Transfer learning from simulation to real