Safe Autonomous Systems Lab

Our research addresses resilient and secure control of intelligent autonomous systems in uncertain and adversarial environments.

About Us


About Us

Our group's research interests in the Safe Autonomous Systems Lab (SAS Lab) at Stevens Institute of Technology include control and planning, robotics, cyber-physical security, and machine learning. In particular, we focus on resilient and secure control and monitoring of intelligent autonomous systems in uncertain and adversarial environments. Autonomous systems such as unmanned aerial vehicles (UAVs), medical and industrial robots, and self-driving cars operate under uncertainties due to dynamic environments, interaction with humans, system failures, and even malicious cyberattacks. Ensuring security and safety is the first step to make the solutions using such systems certifiable and scalable. Our research aims to study and address such challenges by integrating the tools from robust and adaptive control with machine learning and cyber-physical security methods. We conduct experiments using aerial drone platforms to validate the theoretical solutions.

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Recent News

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  • Dec. 6, 2022
Media

Our drone research featured on Stevens news: "These Are the Drones You're Looking For: Improved Design, Detection, Navigation, Cyberdefense"

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  • April 7, 2022
NSF Award

Our lab received $309,811 funding from the National Science Foundation for the project "Collaborative Research: Towards Attack-Resilient Vision-Guided Unmanned Aerial Vehicles: An Observability Analysis Approach."

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  • Aug. 26, 2022

Our paper on "Multi-Level Adaptation for Automatic Landing with Engine Failure under Turbulent Weather" has been accepted for presentation at AIAA SciTech Forum 2023.

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  • Apr. 19, 2022

Our paper on detection of stealthy adversaries for networked unmanned aerial vehicles has been accepted for publication in the proceedings of the 2022 International Conference on Unmanned Aircraft Systems (ICUAS). The paper is available on arXiv with a video demonstration, and open-source code.

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  • Jul 27, 2021

Our paper on stealthy attack detection will be presented in 60th IEEE CDC, Dec. 13-17, 2021.

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  • May 25, 2022
Student Award

Congratulations to Mohammad Bahrami for receiveing best student presentation award at STRATUS 2022 Conference in Syracuse, NY!, May 25, 2022.

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  • May 2022
Student Award

The Autonomous Aerial Manipulator (AAM) team, advised by Prof. Jafarnejad Sani, received the best senior design project award in the Mechanical Engineering Department at Stevens, May 2022.

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