Bram de Jager

About

Bram de Jager is a control systems researcher whose work sits at the intersection of robotics, motion control, and data-driven methodologies. His research has made significant contributions to the design, modeling, and experimental evaluation of advanced control strategies for robotic systems, with particular emphasis on nonlinear and learning-based control approaches. De Jager's most influential work, "Data-based optimal control" (2005, 68 citations), introduced a compelling framework combining data-based observers with optimal feedback controllers using only input/output data — eliminating the need for explicit system models. This data-centric philosophy also underpins his research on iterative learning control (ILC) for direct-drive robots (45 citations), where he demonstrated that blending model-based and learning components yields superior motion precision in repetitive tasks. A consistent thread throughout his career is rigorous experimental validation. His development of the RRR-robot platform — a three-rotational-degree-of-freedom testbed — provided the robotics community with a principled facility for benchmarking nonlinear controllers under realistic conditions. Multiple papers detailing its design, modeling, identification, and kinematics (collectively accumulating dozens of citations) reflect his commitment to reproducible, experiment-driven research. De Jager's body of work has meaningfully shaped how researchers approach robust, data-efficient control design for complex robotic motion systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Data-based optimal control

   68 citations · 2005
2. 2
   Learning-based identification and iterative learning control of direct-drive robots

   45 citations · 2005
3. 3
   Experimental evaluation of robot controllers

   24 citations · 2002
4. 4
   RRR-robot design: basic outlines, servo sizing, and control

   20 citations · 2002
5. 5
   An experimental facility for nonlinear robot control

   17 citations · 2003
6. 6
   Modeling and identification of an RRR-robot

   14 citations · 2003
7. 7
   Closed-form kinematic and dynamic models of an industrial-like RRR robot

   12 citations · 2003
8. 8
   Experimentally supported control design for a direct drive robot

   12 citations · 2003
9. 9
   Data-based control of motion systems

   10 citations · 2005
10. 10
    Control design for robust performance of a direct-drive robot

    8 citations · 2004

Key Collaborators

Contact & Links