Malte Grube

Universität Hamburg, Hamburg University of Technology

Papers

Total Citations

H-Index

About

Malte Grube is a rising researcher in the field of soft robotics, with a focus on bridging the gap between theoretical control methods and practical, real-world applications. His primary research areas include dynamic trajectory tracking, sensor integration, and model-based control for soft, compliant systems. Grube’s major contribution lies in addressing the fundamental challenge of controlling soft robots, which are often both underactuated and redundantly actuated. His most cited work, “Comparison of Modern Control Methods for Soft Robots” (2022, 21 citations), provides a critical survey of control strategies for high-speed, dynamic movements—a notoriously open problem in the field. He further advanced the state of the art by developing an optical curvature sensor for soft robots and, in his 2024 paper, demonstrated open-loop dynamic trajectory tracking using learned inverse kinematics combined with a dynamic model. This work represents a significant step toward precise, model-based control without the need for continuous feedback. Grube’s research is essential reading for students and engineers seeking to understand the practical limits and future directions of soft robot control.