Michael De Voider

KU Leuven, Flanders Make (Belgium)

Papers

2

Total Citations

9

H-Index

2

About

Michael De Voider is a rising figure in soft robotics, specializing in the design and fabrication of bio-inspired, compliant systems. His research focuses on two core areas: the mechanical programming of soft actuators and the integration of microscale sensors for precise control. De Voider’s major contribution lies in developing hardware-encoded sequences for multi-segment soft actuators, eliminating the need for complex external control systems. His 2018 paper on a bi-segmented soft actuator (5 citations) demonstrates how equilibrium states between connected segments can be programmed to produce a predictable inflation sequence—a foundational concept for simplifying autonomous soft robots. In parallel, his work on vertically aligned carbon nanotube (CNT) strain sensors (4 citations) introduces a lithographic patterning method that enables scalable, high-resolution integration of piezoresistive sensing directly into soft microactuators. This innovation bridges the gap between soft material compliance and precise electronic feedback. Though early in his career, De Voider’s contributions are notable for their emphasis on manufacturing scalability and hardware-level intelligence, offering practical pathways toward more autonomous, sensor-rich soft robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Design of a bi-segmented soft actuator with hardware encoded quasi-static inflation sequence
5 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: KU Leuven, Flanders Make (Belgium)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago