← Search

Martin Bensch

3 accepted papers

2026

Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots Using Physics-Informed Neural Networks

ICRA 2026poster

Soft robots can revolutionize several applications with high demands on dexterity and safety. When operating these systems, real-time estimation and control require fast and accurate models. However, prediction with first-principles (FP) models is slow, and learned black-box models have poor general…

2024

Physics-Informed Neural Networks for Continuum Robots: Towards Fast Approximation of Static Cosserat Rod Theory

ICRA 2024poster

Sophisticated models can accurately describe deformations of continuum robots while being computationally demanding, which limits their application. Especially when considering sampling-based path planning, the model has to be evaluated frequently, which can lead to substantially increased computati…

Cited by 4SourceScholar
2023

Multiple-Contact Estimation for Tendon-Driven Continuum Robots with Proprioceptive Sensor Information by Contact Particle Filter and Kinetostatic Models

IROS 2023poster

This paper presents a new approach to determine single and multiple simultaneous contact forces on a tendon-driven continuum robot (CR). The estimation is based solely on the proprioceptive tendon force and length sensors that are already present. Unlike for rigid-body robots, only indirect measurem…

Cited by 1SourceScholar