Developing animal-level motor intelligence requires a complete change of perspective that entails a unique blend of advancements in mechanical design, control theory, modeling, and machine learning. On a more technical level, I am approaching these challenges with a mix of new design paradigma, novel manufacturing methodologies and nonlinear modelling and control theory.
I spend most of my time on:
Model based control of soft robots
Discovering and embodying physical intelligence
Combining models and data for motor intelligence in mechanical systems
Computational, data-driven, design of soft robots
"A soft robot inverse kinematic for virtual reality" - Submitted to ICRA 2024
"PAWS: A Synergy-Based Robotic Quadruped Leveraging Passivity for Robustness and Behavioural Diversity" - Under review on Nature Machine Intelligence
"A provably stable Iterative Learning Controller for continuum Soft Robots" - Under review on RA-L
"Trimmed Helicoids: an architectured soft structure yielding soft robtos with high precision, large workspace and compliant interactions" - Under review on Nature npj Robotics
"Soft robot shape estimation with IMUs, leveraging constant curvature topology for drift filtering" - Under review on RA-L
"Piecewise Affine Curvature model: a reduced‑order model for soft robot‑environment interaction beyond PCC" - Under review on RoboSoft 2023
"Prescribing Cartesian stiffness of soft robots by co-optimization of shape and segment-level stiffness" - Published on Soft Robotics
”The science of soft robot design: A review of motivations, methods and enabling technologies”- Published on Frontiers for Robotics and AI, 2023
"An experimental validation of the polynomial curvature model: identification and optimal control of a soft underwater tentacle" - Published on Robotics and Automation Letters (RA-L)
"Sensing Soft Robot Shape Using IMUs: an experimental investigation” - Published on ISER 2021
”Controlling Maneuverability of a Bio‑Inspired Swimming Robot Through Morphological Transformation” - Published on Robotics and Automation Magazine (RA-M)
"Proprioceptive Sensing of Soft Tentacles with Model Based reconstruction for Controller Optimization" - Under review on RoboSoft 2023
"Smell Driven Navigation for Soft Robotic Arms: Artificial Nose and Control"- Under review on RoboSoft 2023
"Model-Based Control Can Improve the Performance of Artificial Cilia" - Published on RoboSoft 2021
If you want more info on any of these projects feel free to contact me at francesco.stella@epfl.ch