Listar por autor "Pastor-Martín, Francisco"
Mostrando ítems 1-8 de 8
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Dataset with Tactile and Kinesthetic Information from a Human Forearm and Its Application to Deep Learning
Pastor-Martín, Francisco; Lin-Yang, Da-hui; Gómez-de-Gabriel, Jesús Manuel
; Garcia-Cerezo, Alfonso J. (IOAP-MDPI, 2022-11-12)
There are physical Human–Robot Interaction (pHRI) applications where the robot has to grab the human body, such as rescue or assistive robotics. Being able to precisely estimate the grasping location when grabbing a human ... -
Diseño de una pinza sub-actuada híbrida soft-rigid con sensores hápticos para interacción física robot-humano
Gómez-de-Gabriel, Jesús Manuel; Gandarias, Juan Manuel; Sánchez Montoya, Trinidad; Pastor-Martín, Francisco; Garcia-Cerezo, Alfonso J.; Muñoz-Ramirez, Antonio Jose[et al.] (Comité Español de Automática, 2019)
Las manos robóticas sub-actuadas poseen una gran adaptabilidad que les permite el agarre de objetos de diferentes formas y tamaños. Por otro lado, el desarrollo de robots blandos (soft robotics) para la interacción física ... -
Experimental Validation of a Robotic Stretcher for Casualty Evacuation in a Man-Made Disaster Exercise
Pastor-Martín, Francisco; Mandow, Anthony; Seron-Barba, Javier; Pastor-Martín, Francisco; Garcia-Cerezo, Alfonso J. (IEEE, 2020-11)
This paper describes a cooperative search and rescue exercise where an unmanned ground vehicle (UGV) is used by a military rescue team for extraction and evacuation of a casualty from an unsafe man-made disaster area. This ... -
Grasping Angle Estimation of Human Forearm with Underactuated Grippers Using Proprioceptive Feedback
Pastor-Martín, Francisco; Gandarias, Juan Manuel; Garcia-Cerezo, Alfonso J.; Muñoz-Ramirez, Antonio Jose; Gómez-de-Gabriel, Jesús Manuel (2019)
In this paper, a method for the estimation of the angle of grasping of a human forearm, when grasped by a robot with an underactuated gripper, using proprioceptive information only, is presented. Knowing the angle around ... -
Human-Arm Roll Estimation in Underactuated Grippers with Proprioceptive Feedback
Gandarias, Juan Manuel; Gómez-de-Gabriel, Jesús Manuel; Pastor-Martín, Francisco; Muñoz-Ramirez, Antonio Jose (2019-09-11)
A method for the estimation of the roll angle of a human forearm, when grasped by a robot with an underactuated gripper, using proprioceptive information only, is being developed. Knowing the angle around the forearm's ... -
Monitorización de víctimas con manipuladores aéreos en operaciones de búsqueda y rescate
Ruiz-Ruiz, Francisco J.; Gandarias, Juan Manuel; Muñoz-Ramirez, Antonio Jose; Garcia-Cerezo, Alfonso J.; Pastor-Martín, Francisco; Gómez-de-Gabriel, Jesús Manuel[et al.] (2018-09-17)
En este trabajo se presenta el primer dispositivo de monitorización de víctimas para su colocación automática con robots manipuladores aéreos. Se trata de un sistema sensorial distribuido para la evaluación de forma continua ... -
Project Summary: TRUST-ROB, Towards Resilient UGV and UAV Manipulator Teams For Robotic Search and Rescue Tasks
Garcia-Cerezo, Alfonso J.; Mandow, Anthony; Bravo-Arrabal, Juan; Cruz, A; Castellano Quero, Manuel; Fernández-Lozano, Juan Jesús; Gandarias, JM; Gómez-de-Gabriel, JM; Gomez Ruiz, JA; Martínez, JL; Martinez-Sanchez, Maria Alcazar; Miranda-Paez, Jesus; Morales, J; Muñoz-Ramirez, Antonio Jose; Pastor-Martín, Francisco; Reina, AJ; Sánchez, JR; Seron-Barba, Javier; Toscano-Moreno, Manuel; Vazquez-Martin, Ricardo; Zambrana-Moral, Patricia[et al.] (2022)
This Project Summary paper reviews the main contributions and lessons learned from the TRUST-ROB project: “Towards Resilient UGV and UAV Manipulator Teams for Robotic Search and Rescue Tasks”, which has been developed ... -
Transfer learning or design a custom CNN for tactile object recognition
Gandarias, Juan Manuel; Pastor-Martín, Francisco; Muñoz-Ramirez, Antonio Jose; Garcia-Cerezo, Alfonso J.; Gómez-de-Gabriel, Jesús Manuel (2018-10-29)
Novel tactile sensors allow treating pressure lectures as standard images due to its highresolution. Therefore, computer vision algorithms such as Convolutional Neural Networks (CNNs) can be used to identify objects in ...