Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Brayan S Zapata-Impata"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 16 (2019)
Industrial and service robots deal with the complex task of grasping objects that have different shapes and which are seen from diverse points of view. In order to autonomously perform grasps, the robot must calculate where to place its robotic hand
Externí odkaz:
https://doaj.org/article/51b03ef7775141368b11c2cc1a6b6858
Publikováno v:
Robotics, Vol 8, Iss 4, p 85 (2019)
One of the challenges in robotic grasping tasks is the problem of detecting whether a grip is stable or not. The lack of stability during a manipulation operation usually causes the slippage of the grasped object due to poor contact forces. Frequentl
Externí odkaz:
https://doaj.org/article/7a68bf9d124c4edca59cc87f3dd9d375
Publikováno v:
Sensors, Vol 19, Iss 3, p 523 (2019)
Robotic manipulators have to constantly deal with the complex task of detecting whether a grasp is stable or, in contrast, whether the grasped object is slipping. Recognising the type of slippage—translational, rotational—and its direction is mor
Externí odkaz:
https://doaj.org/article/22df73d6d49246f783cda39b606aaf8a
Autor:
Andrés Úbeda, Brayan S. Zapata-Impata, Santiago T. Puente, Pablo Gil, Francisco Candelas, Fernando Torres
Publikováno v:
Sensors, Vol 18, Iss 7, p 2366 (2018)
This paper presents a system that combines computer vision and surface electromyography techniques to perform grasping tasks with a robotic hand. In order to achieve a reliable grasping action, the vision-driven system is used to compute pre-grasping
Externí odkaz:
https://doaj.org/article/7aa5a297871f405f8e5cf030c76b9de3
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Universidad de Alicante (UA)
Tactile perception is a rich source of information for robotic grasping: it allows a robot to identify a grasped object and assess the stability of a grasp, among other things. However, the tactile sensor must come into contact with the target object
Publikováno v:
RUC. Repositorio da Universidade da Coruña
instname
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
instname
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Las tareas de manipulación de objetos, en ocasiones, requieren hacer uso de dos o más robots cooperando. En la industria 4.0 cada vez es más demandada la robótica asistencial por ejemplo para llevar a cabo tareas como levantar, arrastrar o empuja
Publikováno v:
Robotics
Volume 8
Issue 4
Robotics, Vol 8, Iss 4, p 85 (2019)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Volume 8
Issue 4
Robotics, Vol 8, Iss 4, p 85 (2019)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
One of the challenges in robotic grasping tasks is the problem of detecting whether a grip is stable or not. The lack of stability during a manipulation operation usually causes the slippage of the grasped object due to poor contact forces. Frequentl
Autor:
John Alejandro Castro-Vargas, Pablo Gil, Jose Garcia-Rodriguez, Brayan S. Zapata-Impata, Fernando Torres
Publikováno v:
ICPRAM
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
In the past, methods for hand sign recognition have been successfully tested in Human Robot Interaction (HRI) using traditional methodologies based on static image features and machine learning. However, the recognition of gestures in video sequences
Autor:
Brayan S. Zapata-Impata, Sergio Orts-Escolano, Pablo Gil, Jose Garcia-Rodriguez, Alberto Garcia-Garcia
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
IJCNN
Universidad de Alicante (UA)
IJCNN
Tactile sensors provide useful contact data during the interaction with an object which can be used to accurately learn to determine the stability of a grasp. Most of the works in the literature represented tactile readings as plain feature vectors o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::515a11c16a938ccae8e2447735ac9f9a
http://hdl.handle.net/10045/110537
http://hdl.handle.net/10045/110537
Publikováno v:
Sensors, Vol 19, Iss 3, p 523 (2019)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Sensors
Volume 19
Issue 3
Sensors (Basel, Switzerland)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
Sensors
Volume 19
Issue 3
Sensors (Basel, Switzerland)
Robotic manipulators have to constantly deal with the complex task of detecting whether a grasp is stable or, in contrast, whether the grasped object is slipping. Recognising the type of slippage&mdash
translational, rotational&mdash
and it
translational, rotational&mdash
and it