The relatively young field of soft robotics deals with robots made from soft and flexible materials. Due to this condition, risks arising from human-machine interaction can be minimized compared to conventional robots made from stiff and rigid materials. Due to their high flexibility and adaptability, soft robots are especially suited for delicate tasks related to the medical sector or gripping sensitive objects such as fruit during harvest. The aim of my research is to investigate real-time model inversion for fast-moving soft robots using servo-constraints.
Publications
Legend: black = published;
orange = submitted for publication;
green = accepted for publication
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Presentations
April 9, 2026: Dynamic Open-Loop Trajectory Tracking Control of a Soft Robot using Servo-Constraints, RoboSoft 2026, Kanazawa, Japan
March 17, 2026: Dynamic Feed-Forward Model-Based Control of a Soft Robot Using Servo Constraints, GAMM Annual Meeting 2026, Stuttgart, Germany
Poster Presentations
April 9, 2026: Dynamic Open-Loop Trajectory Tracking Control of a Soft Robot using Servo-Constraints, RoboSoft 2026, Kanazawa, Japan
Supervised Student Theses
Von Krosigk, F.: Optimierungsbasierte Trajektoriensteuerung eines Softroboters unter Verwendung der diskreten adjungierten Methode, Bachelorarbeit, August 2026
Visiting Scholars
Raghavan, Minnoli (UC Berkeley): Design and Manufacturing of a Soft Robot with Variable Length, Sommer 2026
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