World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
29988
World Ranking
831
National Ranking
355

Research.com Recognitions

  • 2017 - Fellow of the International Federation of Automatic Control (IFAC)
  • 2012 - IEEE Fellow For contributions to hybrid and networked control, with applications in robotics

Overview

Magnus Egerstedt is affiliated with the University of California, Irvine in the United States. Their research spans the fields of Computer Science and Engineering, with numerous contributions in subfields such as Computer Networks and Communications, Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, and Artificial Intelligence.

The scientist's main topics of work include Distributed Control Multi-Agent Systems, Modular Robots and Swarm Intelligence, Robotic Path Planning Algorithms, Advanced Control Systems Optimization, Reinforcement Learning in Robotics, Optimization and Search Problems, and Control Systems and Identification.

Magnus Egerstedt has authored several recent papers, illustrating a focus on multirobot systems, control methodologies, and reinforcement learning in robotics. Notable recent publications include:

  • The Robotarium: Globally Impactful Opportunities, Challenges, and Lessons Learned in Remote-Access, Distributed Control of Multirobot Systems, 2020, published in IEEE Control Systems
  • Integral Control Barrier Functions for Dynamically Defined Control Laws, 2020, published in IEEE Control Systems Letters
  • Optimization-Based Distributed Flocking Control for Multiple Rigid Bodies, 2020, published in IEEE Robotics and Automation Letters
  • Safe Reinforcement Learning Using Robust Control Barrier Functions, 2022, published in IEEE Robotics and Automation Letters
  • Resilient Monitoring in Heterogeneous Multi-Robot Systems Through Network Reconfiguration, 2021, published in IEEE Transactions on Robotics

The scientist frequently publishes in the following venues:

  • IEEE Control Systems
  • IEEE Transactions on Automatic Control
  • arXiv (Cornell University)
  • IEEE Transactions on Control Systems Technology
  • IEEE Transactions on Control of Network Systems

Magnus Egerstedt has collaborated often with a number of coauthors, including Thomas Parisini, Maria Elena Valcher, Rodolphe Sepulchre, Miroslav Krstić, and Jeff S. Shamma.

Regarding book publications, the scientist has two works published by Princeton University Press under the title "Robot Ecology" in 2021.

Awards earned by Magnus Egerstedt include the IEEE Fellow distinction awarded in 2012 for contributions to hybrid and networked control with applications in robotics, as well as being named a Fellow of the International Federation of Automatic Control (IFAC) in 2017.

Best Publications

  • Graph Theoretic Methods in Multiagent Networks

    Mehran Mesbahi;Magnus Egerstedt

  • Formation constrained multi-agent control

    M. Egerstedt;Xiaoming Hu

  • Control Barrier Functions: Theory and Applications

    Aaron D. Ames;Samuel Coogan;Magnus Egerstedt;Gennaro Notomista

  • Distributed Coordination Control of Multiagent Systems While Preserving Connectedness

    Meng Ji;M. Egerstedt

  • Controllability of Multi-Agent Systems from a Graph-Theoretic Perspective

    Amirreza Rahmani;Meng Ji;Mehran Mesbahi;Magnus Egerstedt

  • Containment Control in Mobile Networks

    M. Ji;G. Ferrari-Trecate;M. Egerstedt;A. Buffa

  • Safety Barrier Certificates for Collisions-Free Multirobot Systems

    Li Wang;Aaron D. Ames;Magnus Egerstedt

  • On the regularization of Zeno hybrid automata

    Karl Henrik Johansson;Magnus Egerstedt;John Lygeros;Shankar Sastry

  • Distributed containment control with multiple stationary or dynamic leaders in fixed and switching directed networks

    Yongcan Cao;Wei Ren;Magnus Egerstedt

  • A control Lyapunov function approach to multiagent coordination

    P. Ogren;M. Egerstedt;Xiaoming Hu

  • A control Lyapunov function approach to multi-agent coordination

    P. Ogren;M. Egerstedt;X. Hu

  • Symbolic planning and control of robot motion [Grand Challenges of Robotics]

    C. Belta;A. Bicchi;M. Egerstedt;E. Frazzoli

  • Graph-theoretic connectivity control of mobile robot networks

    M. M. Zavlanos;M. B. Egerstedt;G. J. Pappas

  • Autonomous driving in urban environments: approaches, lessons and challenges

    Mark E. Campbell;Magnus Egerstedt;Jonathan P. How;Richard M Murray

  • IEEE TRANSACTIONS ON AUTOMATIC CONTROL

    P. J. Antsaklis;Elizabeth Kovács;E. Chong

  • The Robotarium: A remotely accessible swarm robotics research testbed

    Daniel Pickem;Paul Glotfelter;Li Wang;Mark Mote

  • Transition-time optimization for switched-mode dynamical systems

    M. Egerstedt;Y. Wardi;H. Axelsson

  • Control of mobile platforms using a virtual vehicle approach

    M. Egerstedt;X. Hu;A. Stotsky

  • Brief paper: Containment in leader-follower networks with switching communication topologies

    G. Notarstefano;M. Egerstedt;M. Haque

  • Nonsmooth Barrier Functions With Applications to Multi-Robot Systems

    Paul Glotfelter;Jorge Cortes;Magnus Egerstedt

  • Graph-Theoretic Connectivity Control of Mobile Robot Networks This paper develops an analysis for groups of vehicles connected by a communication network; control laws are formulated to accomplish tasks requiring rendezvous, and swarm in group formations.

    Michael M. Zavlanos;Magnus B. Egerstedt;George J. Pappas

Frequent Co-Authors

Aaron D. Ames
Aaron D. Ames California Institute of Technology
Jeff S. Shamma
Jeff S. Shamma University of Illinois at Urbana-Champaign
Seth Hutchinson
Seth Hutchinson University of Illinois at Urbana-Champaign
Tucker Balch
Tucker Balch Emory University
Antonio Bicchi
Antonio Bicchi Italian Institute of Technology
Dimos V. Dimarogonas
Dimos V. Dimarogonas Royal Institute of Technology
Shankar Sastry
Shankar Sastry University of California, Berkeley
George J. Pappas
George J. Pappas University of Pennsylvania
John Lygeros
John Lygeros ETH Zurich
Karl Henrik Johansson
Karl Henrik Johansson Royal Institute of Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering, exploring complementary online degrees can open diverse career paths. For example, an accelerated online degree in project management can enhance leadership and organizational skills, crucial in technical fields.

Many professionals benefit from a fast track project management degree online, which offers flexibility and quick completion, ideal for working adults looking to advance their careers without pausing their employment.

Earning a bachelor's in project management can complement engineering expertise by preparing graduates for management roles within technology-driven industries. Such degrees often highlight skills in budgeting, scheduling, and risk management.

For those introverted by nature, it's reassuring that there are many high paying jobs for introverts within engineering and project management fields, allowing individuals to thrive in roles that suit their work style and strengths.

Exploring accelerated online degrees gives working professionals a chance to gain new qualifications rapidly, striking a balance between learning and career demands.

Best Scientists Citing Magnus Egerstedt

Trending Scientists