activity
20232026
most citedGuiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control

6 citations · 19 across the 12 of their papers we have counts for

collaborators

13 papers

cs.RO2026

Toward Trustworthy Physical AI for Human Interaction

Niccolò Pagliarani, Maximilian Stölzle, Cosima du Pasquier +6

Robots are entering human spaces faster than we can establish when they deserve trust. We propose a framework for trustworthy physical AI that integrates Safety, Behavioral Intelli…

cs.RO2026

From Digital to Physical Reservoir Computing: Co-Optimizing Soft Robotic Reservoirs via Dynamics Matching

Nicola Visentin, Maximilian Stölzle, Mariano Ramírez Montero +3

Soft robotic substrates are promising for Physical Reservoir Computing (PRC) because their compliant nonlinear dynamics can provide temporal memory, high-dimensional state transfor…

cs.RO2026

SoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Models

Maximilian Stölzle, Solange Gribonval, Daniel Feliu-Talegon +9

Reduced-order models based on Cosserat-rod theory are now well established, and modeling theory is no longer the primary bottleneck in soft-robot control. Their implementations, ho…

cs.RO2026

A Model-Based Decoupling Strategy for Proprioception and Contact Sensing in an Architected Soft Manipulator

Francesco Stella, Annan Zhang, Cosimo Della Santina +2

Soft continuum robots require embedded sensing for proprioception and contact detection, yet integrating sensors into sparse, highly deformable architected structures remains chall…

cs.RO2026

A Closed-Form CLF-CBF Controller for Whole-Body Continuum Soft Robot Collision Avoidance

Kiwan Wong, Maximillian Stölzle, Wei Xiao +1

Safe operation is essential for deploying robots in human-centered 3D environments. Soft continuum manipulators provide passive safety through mechanical compliance, but still requ…

cs.RO2025

Learning to Move in Rhythm: Task-Conditioned Motion Policies with Orbital Stability Guarantees

Maximilian Stölzle, T. Konstantin Rusch, Zach J. Patterson +5

Learning from demonstration provides a sample-efficient approach to acquiring complex behaviors, enabling robots to move robustly, compliantly, and with fluidity. In this context,…

cs.RO2025

Design of Trimmed Helicoid Soft-Rigid Hybrid Robots

Zach J. Patterson, Emily R. Sologuren, Daniela Rus

As soft robot design matures, researchers have converged to sophisticated design paradigms to enable the development of more suitable platforms. Two such paradigms are soft-rigid h…

cs.RO2025★ 6 cited

Contact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions

Kiwan Wong, Maximilian Stölzle, Wei Xiao +3

Robots operating alongside people, particularly in sensitive scenarios such as aiding the elderly with daily tasks or collaborating with workers in manufacturing, must guarantee sa…

cs.RO2025

Soft yet Effective Robots via Holistic Co-Design

Maximilian Stölzle, Niccolò Pagliarani, Francesco Stella +6

Soft robots promise inherent safety via their material compliance for seamless interactions with humans or delicate environments. Despite progress, the field struggles to balance t…

cs.RO2024★ 1 cited

Design and Control of Modular Soft-Rigid Hybrid Manipulators with Self-Contact

Zach J. Patterson, Emily Sologuren, Cosimo Della Santina +1

Soft robotics focuses on designing robots with highly deformable materials, allowing them to adapt and operate safely and reliably in unstructured and variable environments. While…

cs.RO2024★ 6 cited

Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control

Maximilian Stölzle, Sonal Santosh Baberwal, Daniela Rus +2

Integrating Brain-Machine Interfaces into non-clinical applications like robot motion control remains difficult - despite remarkable advancements in clinical settings. Specifically…

cs.RO2023

Modeling and Control of Intrinsically Elasticity Coupled Soft-Rigid Robots

Zach J. Patterson, Cosimo Della Santina, Daniela Rus

While much work has been done recently in the realm of model-based control of soft robots and soft-rigid hybrids, most works examine robots that have an inherently serial structure…

cs.RO2023★ 6 cited

An Experimental Study of Model-based Control for Planar Handed Shearing Auxetics Robots

Maximilian Stölzle, Daniela Rus, Cosimo Della Santina

Parallel robots based on Handed Shearing Auxetics (HSAs) can implement complex motions using standard electric motors while maintaining the complete softness of the structure, than…