Yousef Emam

Yousef Emam

Robotics PhD Student

Georgia Institute of Technology

Biography

I am a Robotics PhD student at the Georgia Institute of Technology, co-advised by Magnus Egerstedt and Zsolt Kira. My research interests lie in developing heterogeneous task allocation frameworks geared towards long-duration autonomy, safety of disturbed dynamical systems and safe reinforcement learning.

Download my CV.

Interests
  • Multi-Robot Task Allocation
  • Control of Disturbed Dynamical Systems
  • Safe Reinforcement Learning
Education
  • PhD in Robotics, 2022

    Georgia Institute of Technology

  • MS in Computer Science, 2021

    Georgia Institute of Technology

  • BS in Mechanical Engineering, 2018

    Georgia Institute of Technology

Experience

 
 
 
 
 
Intern - Autonomy & Mapping
May 2021 – Aug 2021 Philadelphia, PA
 
 
 
 
 
Intern - Automatic Planning & Scheduling for Autonomous Teams
May 2019 – Aug 2019 Princeton, NJ
 
 
 
 
 
Graduate Research Assitant (GRA)
Aug 2018 – Present Atlanta, GA
 
 
 
 
 
Intern - Superconductor & Devices (SCD)
May 2017 – Jun 2017 Geneva, Switzerland
 
 
 
 
 
Undergraduate Research Assitant
Jan 2016 – Jun 2016 Atlanta, GA

Publications

Safe Model-Based Reinforcement Learning Using Robust Control Barrier Functions. Submitted to IEEE International Conference on Robotics and Automation (ICRA), 2022.
Data-Driven Robust Barrier Functions for Safe, Long-Term Operation. Accepted in IEEE Transaction on Robotics (T-RO), 2021.
Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams Using Robust Control Barrier Functions. In IEEE International Conference on Robotics and Automation (ICRA), 2021.
The Robotarium: Automating a Remotely Accessible, Multi-Robot Testbed. In IEEE Robotics and Automation Letters (RA-L), 2021.
A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems. In IEEE Transaction on Robotics (T-RO), 2020.

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