Listar por autor "Gandarias Palacios, Juan Manuel"
Mostrando ítems 1-6 de 6
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CNN-Based Methods for Object Recognition With High-Resolution Tactile Sensors.
Gandarias Palacios, Juan Manuel; García-Cerezo, Alfonso José
; Gómez-de-Gabriel, Jesús Manuel (IEEE, 2019-08-15)
Novel high-resolution pressure-sensor arrays allow treating pressure readings as standard images. Computer vision algorithms and methods such as convolutional neural networks (CNN) can be used to identify contact objects. ... -
Enhancing Perception with Tactile Object Recognition in Adaptive Grippers for Human–Robot Interaction.
Gandarias Palacios, Juan Manuel; Gómez-de-Gabriel, Jesús Manuel; García-Cerezo, Alfonso José (MDPI, 2018-02-26)
The use of tactile perception can help first response robotic teams in disaster scenarios, where visibility conditions are often reduced due to the presence of dust, mud, or smoke, distinguishing human limbs from other ... -
Open-loop position control in collaborative, modular Variable-Stiffness-Link (VSL) robots.
Gandarias Palacios, Juan Manuel; Wang, Yongjing; Stilli, Agostino; García-Cerezo, Alfonso José; Gómez-de-Gabriel, Jesús Manuel; Wurdemann, Helge[et al.] (IEEE, 2020-01-28)
Collaborative robots open up new avenues in the field of industrial robotics and physical Human-Robot Interaction (pHRI) as they are suitable to work in close approximation with humans. The integration and control of ... -
Safe Manipulation of Humans in Robot-driven Physical Human-Robot Interaction.
(UMA Editorial, 2024)Due to the emergence of collaborative robots, humans and robots have been working in close proximity, and in some tasks, even sharing a common goal. Under these circumstances, physical contact between human and robot has ... -
Upper-limb kinematic parameter estimation and localization using a compliant robotic manipulator.
Ruiz-Ruiz, Francisco J.; Gandarias Palacios, Juan Manuel; Pastor-Martín, Francisco; Gómez-de-Gabriel, Jesús Manuel (IEEE, 2021-03-18)
Assistive and rehabilitation robotics have gained momentum over the past decade and are expected to progress significantly in the coming years. Although relevant and promising research advances have contributed to these ... -
Using 3D Convolutional Neural Networks for Tactile Object Recognition with Robotic Palpation.
Pastor-Martín, Francisco; Gandarias Palacios, Juan Manuel; García-Cerezo, Alfonso José; Gómez-de-Gabriel, Jesús Manuel (MDPI, 2019-12-05)
In this paper, a novel method of active tactile perception based on 3D neural networks and a high-resolution tactile sensor installed on a robot gripper is presented. A haptic exploratory procedure based on robotic palpation ...