Jonathan Brembeck

About

Jonathan Brembeck is a prominent researcher in the field of intelligent electromobility, autonomous vehicle control, and robotic vehicle systems, primarily affiliated with the German Aerospace Center (DLR). His work centers on the development and control of the ROboMObil (ROMO), a groundbreaking robotic electric vehicle platform featuring four integrated Wheel Robots that combine drivetrain, braking, steering, and damping functions into a single, highly maneuverable system. Brembeck's most celebrated contribution — the foundational ROMO paper (2011, 49 citations) — introduced a transformative approach to electromobility that has since influenced both academic research and automotive engineering. His subsequent work has pushed the boundaries of over-actuated vehicle control, addressing energy-optimal control allocation (32 citations), advanced path following (18 citations), and fault-tolerant control strategies using Lyapunov-based frameworks. Notably, he has also bridged vehicle dynamics with sophisticated software engineering, including nonlinear state estimation via extended FMI 2.0 co-simulation interfaces. Across his body of work, Brembeck has accumulated over 200 citations, reflecting sustained influence in autonomous mobility, human-machine interaction, and model-based energy management. His research offers a rare integration of theoretical rigor and experimental validation, making his publications essential reading for engineers and researchers working at the frontier of intelligent, autonomous electric vehicles.

Research Focus

Key Achievements

Top Papers

1. 1
   ROMO - THE ROBOTIC ELECTRIC VEHICLE

   49 citations · 2011
2. 2
   Energy optimal control of an over actuated Robotic Electric Vehicle using enhanced control allocation approaches

   32 citations · 2012
3. 3
   Central Vehicle Dynamics Control of the Robotic Research Platform RoboMobil

   20 citations · 2014
4. 4
   Advanced path following control of an overactuated robotic vehicle

   18 citations · 2015
5. 5
   Human machine interface concept for interactive motion control of a highly maneuverable robotic vehicle

   17 citations · 2011
6. 6
   Nonlinear State Estimation with an Extended FMI 2.0 Co-Simulation Interface

   16 citations · 2014
7. 7
   Experimental investigation of online path planning for electric vehicles

   14 citations · 2016
8. 8
   Model Based Energy Management and State Estimation for the Robotic Electric Vehicle ROboMObil

   14 citations · 2018
9. 9
   Lyapunov-based fault tolerant control allocation

   10 citations · 2021
10. 10
    Real-time capable path planning for energy management systems in future vehicle architectures

    10 citations · 2014

Key Collaborators

Contact & Links