Simon Schiele
Papers
2
Total Citations
16
H-Index
2
About
Simon Schiele is a pioneering researcher in the field of soft robotics, with a primary focus on the automated design and fabrication of compliant, monolithic robotic structures. His work addresses the critical challenge of creating soft robots that can safely interact with humans and navigate unpredictable environments. Schiele’s major contribution lies in developing computational design frameworks that enable the creation of underactuated soft robots with pre-defined, multiple end poses. This approach leverages additive manufacturing to extrinsically embed compliance, allowing for complex, adaptable movements without traditional rigid joints or complex control systems. His most-cited paper, "Shape Memory Structures-Automated Design of Monolithic Soft Robot Structures with Pre-defined End Poses" (2019, 12 citations), established a foundational methodology for this design paradigm. Building on this, his 2021 work further advanced the concept to automate the design of structures capable of achieving multiple distinct poses. Though his citation counts are currently modest, Schiele’s research is at the cutting edge of soft robotics, offering a scalable, design-driven pathway to safer, more versatile robots for human-centric applications.
Research Focus
Key Achievements
Top Papers
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- 2