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Magnus Egerstedt

Stacey Nicholas Dean of Engineering

Magnus Egerstedt is a leading research on control theory, complex networks and robotics.

Areas of Expertise

  • Multi-system robots
  • Mobile Sensor Networks
  • Complex networks (e.g., optimization and control, resource sharing, dimension reduction)
  • Control Theory
  • Robotics
  • Cyber-Physical Systems

Biography

Egerstedt’s research pursuits center on control theory and robotics. His work has resulted in innovations in remote environmental monitoring and precision agriculture, and he has worked extensively on the control and coordination of complex networks, such as multirobot systems, mobile sensor networks and cyber-physical systems. He led the creation of the Robotarium, a remotely accessible swarm robotics lab used by thousands of researchers around the world. He also helped develop SlothBot, a hyper-energy-efficient environmental monitoring robot. Egerstedt is a fellow of the Institute of Electrical and Electronics Engineers and the International Federation of Automatic Control as well as a member of the Royal Swedish Academy of Engineering Sciences.

Media

Watch on YouTube: RI Seminar: Magnus Egerstedt : Long Duration Autonomy for Persistent Environmental MonitoringWatch on YouTube: Magnus Egerstedt: Long Duration Autonomy with Applications to Persistent Environmental MonitoringWatch on YouTube: Fall 2020 LIDS Seminar — Magnus Egerstedt (Georgia Institute of Technology)Watch on YouTube: Swarm robotics -- from local rules to global behaviors | Magnus Egerstedt | TEDxEmoryListen on Podchaser: Robohub Podcast - Robotarium: A Robotics Lab Accessible to All, with Magnus EgerstedtListen on Podchaser: UCI Dean of Engineering Magnus Egerstedt discusses his new book on robots in the wildDownload image: Magnus EgerstedtDownload image: Magnus Egerstedt

Education

Royal Institute of Technology

Ph.D., Applied Mathematics, 2000

Royal Institute of Technology

M.S., Engineering Physics, 1996

Stockholm University

B.A., Philosophy and Linguistics, 1996

Accomplishments

  • O. Hugo Schuck Best Paper Award
  • Distinguished Faculty Achievement Award
  • Creating the Next Award for Innovation and Impact in Robotics
  • Distinguished Mercer Lecturer
  • Best Multi-Robot Systems Paper Award

Patents

Wire-Traversing Robot and Method of Operation

US20220009532A1, 1/13/2022

Affiliations

  • IEEE (Control Systems and Robotics & Automation Societies) : Fellow
  • International Federation of Automatic Control (IFAC) : Fellow
  • IEEE Control Systems Society : Vice President for Member Activities

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