ProfessorsProfessors of University of TorontoSepehr Samavi

Sepehr Samavi

University of Toronto

H-index: 3

North America-Canada

About Sepehr Samavi

Sepehr Samavi, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at University of Toronto, specializes in the field of Robotics, Control, Machine Learning, Artificial Intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization

Does Unpredictability Influence Driving Behavior?

Accounting for Unpredictability in Autonomous Driving Behaviour

Zeus: A system description of the two‐time winner of the collegiate SAE autodrive competition

Sepehr Samavi Information

University	University of Toronto
Position	MASc Candidate
Citations(all)	62
Citations(since 2020)	62
Cited By	23
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	3
i10Index(since 2020)	3
Email	Access Email
University Profile Page	University of Toronto
Google Scholar	View Google Scholar Profile

Sepehr Samavi Skills & Research Interests

Robotics

Control

Machine Learning

Artificial Intelligence

Top articles of Sepehr Samavi

Title	Journal	Author(s)	Publication Date
SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization	arXiv preprint arXiv:2310.10982	Sepehr Samavi Florian Shkurti Angela P Schoellig	2023/10/17
Does Unpredictability Influence Driving Behavior?		Sepehr Samavi Florian Shkurti Angela P Schoellig	2023/10/1
Accounting for Unpredictability in Autonomous Driving Behaviour		Sepehr Samavi	2021
Zeus: A system description of the two‐time winner of the collegiate SAE autodrive competition	Journal of Field Robotics	Keenan Burnett Jingxing Qian Xintong Du Linqiao Liu David J Yoon ...	2021/1