Stefan Escaida Profesor Asistente

    Grado Académico

    Doktor der Ingenieurswissenschaften (Dr.-Ing.), 2016, Karlsruhe Institute of Technology, Alemania

    Título(s) Profesional

    Diplom-Informatiker (Dipl.-Inform.), 2010, Karlsruhe Institute of Technology, Alemania

    Descripción

    Stefan Escaida recibió su título de Informático (Dipl.-Inform.) y su doctorado (Dr.-Ing.) en robótica del Karlsruhe Institute of Technology en 2010 y 2016 respectivamente. Durante su fase de doctorado investigó en temas como el reconocimiento háptico de objetos, manipulación de objetos, así como también la tecnología y las aplicaciones de sensores capacitivos táctiles y de proximidad. Dentro de las aplicaciones investigadas se encuentran el preajuste de garras, evitamiento de colisiones, teleoperación, etc.

    Entre fines del 2017 y el verano del 2022 fue investigador postdoctoral en el laboratorio DEFROST en Inria Lille – Nord Europe en Francia. En este período trabajó en el sensado basado en modelos para Soft Robotics.

    Desde octubre 2022 es profesor asistente en la Universidad de O’Higgins y desarrolla investigación en el área de Inteligencia Artificial y Robótica del ICI.

    8

    3

    • REVISTA IEEE Transactions on Instrumentation and Measurement
    • 2023

    Highly Stretchable Additively Manufactured Capacitive Proximity and Tactile Sensors for Soft Robotic Systems


    • Stefan Raimundo Escaida Lubbemeier •

    http://dx.doi.org/10.1109/TIM.2023.3250232

    • REVISTA IEEE Robotics and Automation Letters
    • 2023

    An Open Source Design Optimization Toolbox Evaluated on a Soft Finger


    • Stefan Raimundo Escaida Lubbemeier • Luis Gustavo Molina Chávez •

    http://dx.doi.org/10.1109/LRA.2023.3301272

    • REVISTA IEEE Robotics and Automation Letters
    • 2023

    Multi-tap Resistive Sensing and FEM Modeling enables Shape and Force Estimation in Soft Robots


    • Stefan Raimundo Escaida Lubbemeier •

    http://dx.doi.org/10.1109/LRA.2023.3339434

    • REVISTA IEEE Transactions on Medical Robotics and Bionics

    A Bio-Inspired Active Prostate Phantom for Adaptive Interventions


    • Stefan Raimundo Escaida Lubbemeier •

    http://dx.doi.org/10.1109/TMRB.2021.3123385

    • REVISTA IEEE Transactions on Robotics

    Proximity Perception in Human-Centered Robotics: A Survey on Sensing Systems and Applications


    • Stefan Raimundo Escaida Lubbemeier •

    http://dx.doi.org/10.1109/TRO.2021.3111786

    • REVISTA IEEE Robotics and Automation Letters

    A Model-Based Sensor Fusion Approach for Force and Shape Estimation in Soft Robotics


    • Stefan Raimundo Escaida Lubbemeier •

    http://dx.doi.org/10.1109/LRA.2020.3008120

    • REVISTA IEEE Robotics and Automation Letters

    Modeling Novel Soft Mechanosensors Based on Air-Flow Measurements


    • Stefan Raimundo Escaida Lubbemeier •

    http://dx.doi.org/10.1109/LRA.2019.2932604

    • REVISTA at - Automatisierungstechnik

    Plug & produce by modelling skills and service-oriented orchestration of reconfigurable manufacturing systems


    • Stefan Raimundo Escaida Lubbemeier •

    http://dx.doi.org/10.1515/auto-2014-1157

    • Enero 2024
    Proyecto Adjudicado

    Fondos para apoyar la realizacion de la Third Latin American Summer School on Cognitive Robotics (LACORO 2024). La primera edición se realizó online en octubre de 2020; la segunda fue presencial en enero de 2023; la tercera versión tendrá lugar entre el 9 y el 13 de diciembre de 2024 en la Universidad de O'Higgins en Rancagua, Chile. https://lacoro.org/ Esta Escuela de Verano beneficiará principalmente a Estudiantes y Académicos de las Américas interesados en la Investigación en Inteligencia Artificial aplicada a la Robótica. Nuestro objetivo es fomentar la colaboración nacional y regional en esta área de investigación. Para la primera edición, alcanzamos 241 inscripciones para actividades online de todo el mundo, y la segunda versión tuvo 166 inscripciones para actividades presenciales en enero de 2023, principalmente de Chile, México, Argentina, Brasil y Uruguay.
    Co-Investigador/a
    • Enero 2013
    • - Enero 2017
    Proyecto Finalizado

    In the previous project the research focus was on the sensing principle and the development of prototype modules for a tactile proximity sensor (TPS). In the current project the focus is on the methods and algorithms with which the events in the near proximity of the robots can be modelled by means of these sensors. Collectively, the TPS on the robot surface and gripper constitute a smart skin. The application scenarios here are the Active Exploration of the Environment, Grasping and the Safe Human-Robot-Interaction. The methods to be developed will improve significantly on the quality of state of the art methods and expand the horizon of possible solutions for these problems. The capacitive measuring principle and the spatial resolution in both, the tactile and proximity modalities, enable an area-wide and distance based coverage of the robot surroundings. It is the first time that algorithms for Exploration, Grasping and Safe-Human-Robot-Interaction are presented that rely simultaneously on both tactile and proximity sensing with spatial resolution. The goal of the Exploration is to research which methods and strategies enable the robot to acquire a contact- and proximity-based world-model by means of TPS. The quality of state of the art solutions for grasping should be improved significantly. For the Safe-Human-Robot-Interaction algorithms should be developed that adapt the robots path and velocity according to the current situation as determined by the TPS. Also, new algorithms should make a TPS-based Interaction possible with the goal of robot controlling and programming by the human through tactile and proximity input. Finally, according to the context of the task and situation at hand (Exploration, Manipulation and Interaction) the robot should show an appropriate behaviour which is given by a behavioural strategy that will also be developed. The starting point in the project is the TPS-modules which were successfully developed in the previous project. At the beginning, research will be focused on the algorithms for signal processing that extract robust features from TPS for higher level tasks. This step is followed by the integration of TPS into a robot system realizing the smart skin. Building on these steps the methods for Exploration, Manipulation and Safe-Human-Interaction are developed. Finally, the results of the project will be shown and evaluated in a combined demonstration scenario that includes a robot endowed with TPS.
    Investigador/a Responsable
    • Abril 2008
    Proyecto Adjudicado

    Desarrollo de réplicas fidedignas e interactives de objetos deformables del mundo real. La principal aplicación estudiada serán los phantomas de órganos humanos, que permitirán la validación de intervenciones así como ayudar durante la formación de especialistas.
    Co-Investigador/aInvestigador/a Responsable