“…Hand exoskeletons that could benefit from industrial gripper test methods are being embedded in an astronaut's glove (Favetto et al, 2012) and used as hand exercise devices (Sarakoglou et al, 2007). The aforementioned roadmap (Falco et al, 2014) also includes dexterous robot arms, proposing fewer complex performance metrics than for dexterous grippers, e.g., reachable volume (i.e., the positions and orientations that an arm can achieve within the workspace), operational space (i.e., the positions and orientations in which the arm and/or hand can effectively perform the required operation), confined space access, and grasping objects while in motion.…”
Manufacturing robotics is moving towards human-robot collaboration with light duty robots being used side by side with workers. Similarly, exoskeletons that are both passive (spring and counterbalance forces) and active (motor forces) are worn by humans and used to move body parts. Exoskeletons are also called 'wearable robots' when they are actively controlled using a computer and integrated sensing. Safety standards now allow, through risk assessment, both manufacturing and wearable robots to be used. However, performance standards for both systems are still lacking. Ongoing research to develop standard test methods to assess the performance of manufacturing robots and emergency response robots can inspire similar test methods for exoskeletons. This paper describes recent research on performance standards for manufacturing robots as well as search and rescue robots. It also discusses how the performance of wearable robots could benefit from using the same test methods.
“…Hand exoskeletons that could benefit from industrial gripper test methods are being embedded in an astronaut's glove (Favetto et al, 2012) and used as hand exercise devices (Sarakoglou et al, 2007). The aforementioned roadmap (Falco et al, 2014) also includes dexterous robot arms, proposing fewer complex performance metrics than for dexterous grippers, e.g., reachable volume (i.e., the positions and orientations that an arm can achieve within the workspace), operational space (i.e., the positions and orientations in which the arm and/or hand can effectively perform the required operation), confined space access, and grasping objects while in motion.…”
Manufacturing robotics is moving towards human-robot collaboration with light duty robots being used side by side with workers. Similarly, exoskeletons that are both passive (spring and counterbalance forces) and active (motor forces) are worn by humans and used to move body parts. Exoskeletons are also called 'wearable robots' when they are actively controlled using a computer and integrated sensing. Safety standards now allow, through risk assessment, both manufacturing and wearable robots to be used. However, performance standards for both systems are still lacking. Ongoing research to develop standard test methods to assess the performance of manufacturing robots and emergency response robots can inspire similar test methods for exoskeletons. This paper describes recent research on performance standards for manufacturing robots as well as search and rescue robots. It also discusses how the performance of wearable robots could benefit from using the same test methods.
“…Otro dispositivo para rehabilitación de manos es el Hand Mentor® como se muestras en la Figura 4, es un dispositivo de mecanoterapia que es coloca sobre la mano para realizar los ejercicios de flexión y extensión de la mano. El dispositivo esta compuesto por una interfaz gráfica, un monitor, un software con ambiente interactivo para motivar al paciente a que realice las terapias de su mano (Sarakoglou et al, 2007, Pilwon et al, 2012.…”
Section: Figura 3 Sistema Diego® De Tyromotionunclassified
En este trabajo se diseña y construye un sistema mecatrónico para apoyar a niños con alguna discapacidad motriz de la extremidad superior (brazo) enfocado a las terapias ocupacionales. Este dispositivo está encauzado a niños por lo que está construido de forma sencilla y atractiva para que siempre tenga interés el infante de realizar sus terapias, sin dejar a un lado que el equipo debe de cumplir el objetivo principal de rehabilitación. Se diseña un equipo para terapias ocupacionales debido a la falta de mecanismos que brinde ayuda al terapeuta en la realización de sus sesiones de rehabilitación y a la vez motive al paciente en este caso al niño a realizar la terapia. El diseño es realizado en un software CAD como es Solidworks y se construye con material suave y resistente para no dañar al infante. Además, se añade al dispositivo un juego de led para que le sea más atractivo e interesante al niño. Este equipo experimental de rehabilitación fue probado en un centro de rehabilitación de niños con problemas motrices y la respuesta de los infantes fue exitosa. Para la realización de este trabajo, en todo momento se recibió colaboración de terapeutas y del apoyo de las mamás de los niños de forma entusiasta.
“…Manuel Ferre, Ignacio Galiana, Raul Wirz and Neil Tuttle including multifinger haptic interfaces have been developed to assist patients" to improve their hand function [15,16]and this kind of platforms [17] have been shown to be effective in improving coordination [18]. Some examples of these developments are based on exoskeletons [19], gloves [20,21] or other complex multi-point interfaces [22,23].…”
Section: Haptic Device For Capturing and Simulating Hand Manipulationmentioning
This article describes the preliminary development of a haptic setup for capturing and simulating musculoskeletal assessment and manipulation of the hand. A haptic device, called MasterFinger-2, is used for capturing one massage technique and one joint manipulation technique, and also for simulating this manipulation technique that can be used in both assessment and treatment of the hand. First, works developed demonstrate that application of haptic devices enable quantitative characterization of forces and positions used in manipulation of musculoskeletal structures. Secondly, an application for simulation is developed using the MasterFinger-2 to display (both visually and haptically) manipulations of one joint of the hand around three axes. The novel aspects of this approach are the use of a multifinger device for capture, simulation and modeling the movement of a biological joint for haptic simulation across three axes, each with non-linear behavior.
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