Andrés San-Millán — accepted AI-conference papers

2025

Real Time Mass Estimation of the Payload of a 3-$DOF$ Flexible Links Robot Using an Algebraic Technique Robust to Sensor Offset

Selma Benftima, Saddam Gharab, Andrés San-Millán, Vicente Feliú Batlle

RA-L 2025

Accurate knowledge of a robot's payload mass is crucial for tasks and necessary for adjusting controller gains to improve trajectory tracking, especially in Flexible Link Robots (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notat

Cited by 1 Source ↗Scholar ↗

2020

A sEMG-Driven Soft ExoSuit Based on Twisted String Actuators for Elbow Assistive Applications

Mohssen Hosseini, Roberto Meattini, Andrés San-Millán, Gianluca Palli, Claudio Melchiorri, Jamie Paik

RA-L 2020

The scope of this letter is to show the applicability of the Twisted String Actuators (TSAs) for lightweight, wearable and assistive robotic applications. To this aim, we have developed a novel surface electromyography (sEMG)-driven soft ExoSuit using the TSAs to perform both single and dual-arm elb

Cited by 69 Source ↗Scholar ↗