Bart Gerlagh
Papers
1
Total Citations
9
H-Index
1
About
Bart Gerlagh is a robotics researcher whose work sits at the intersection of control theory, energy efficiency, and physical human-robot interaction. His primary research areas include adaptive impedance control, task-based optimization, and energy-aware manipulation—fields where robots must safely and efficiently interact with their environments. Gerlagh’s major contribution lies in developing a geometric formulation for impedance-controlled manipulators that enables offline task-based optimization of variable impedance parameters. This approach allows robots to adapt their stiffness and damping in real time, reducing energy consumption while maintaining precise, safe contact with surroundings. His most-cited paper, “Energy-aware adaptive impedance control using offline task-based optimization” (2021, 9 citations), demonstrates how variable impedance can be systematically tuned to minimize actuator effort without sacrificing task performance. This work is notable for bridging the gap between theoretical control frameworks and practical robotic applications, offering a principled method for designing energy-efficient interaction behaviors. Gerlagh’s research is particularly relevant to collaborative robotics, where robots must adjust their compliance dynamically to work alongside humans or handle delicate objects. His contributions are helping to shape a new generation of robots that are not only more capable but also more sustainable.
Research Focus
Key Achievements
Top Papers
- 1