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Rehabilitation robots have become increasingly popular for stroke rehabilitation. However, the high cost of robots hampers their implementation on a large scale. This paper implements the concept of a modular and reconfigurable robot, reducing its cost and size by adopting different therapeutic end effectors for different training movements using a single robot. The challenge is to increase the robot’s...
This article presents the objectives of the project, Training of Trainers in Robotics for Schools in Vulnerable Areas of Costa Rica as well as the main activities, and the results that have been obtained in its first phase of execution. This is a joint project of the School of Informatics of the National University of Costa Rica (UNA), the Costa Rican Institute on Drugs (ICD) and the Ministry of Public...
In this paper we present a novel approach to human-robot control. Taking inspiration from Behaviour Based robotics and self-organisation principles, we present an interfacing mechanism, named KURE in this paper, with the ability to adapt both towards the user and the robotic morphology. The aim is for a transparent mechanism connecting user and robot, allowing for a seamless integration of control...
In this study, the effect of practical courses (especially robotics) on students' success is evaluated using fuzzy cognitive maps. This study particularly focuses on how practical courses increase the learning achievements in vocational schools. For this purpose, students and academicians were chosen as stakeholders for this study. Student were selected from departments of machine, electronic and...
INESC TEC is strongly committed to become a center of excellence in maritime technology and, in particular, deep sea technology. The STRONGMAR project aims at creating solid and productive links in the global field of marine science and technology between INESC TEC and established leading research European institutions, capable of enhancing the scientific and technological capacity of INESC TEC and...
This paper presents an overview of a work in progress research project that investigated cycle 2 in-service teachers' perceptions of the effectiveness of a training offered in the United Arab Emirates on how to use and integrate robotics in teaching. The project also investigated teacher beliefs, attitudes and intention to use robotics in their future teaching. A description of the training offered...
We propose an approach for integrated object and path demonstration. The main idea is to choose the motion of the robot depending on the object it grabs. When programming, an object is fixed at the robot's gripper. Path programming is done using haptic guidance. Afterwards, if a robot is handed over an object it knows before, it reproduces the path assigned to the object. Path programming and object...
This paper presents a compact linear-motion robotic device for upper-extremity reaching rehabilitation. Starting from conceptual design, the paper describes electronic circuit design and program development. The work develops a prototype that provides active and passive rehabilitation training. In active training, subjects actively move their arm with assistive or resistive force from the device to...
In this paper, a semi autonomous robot design serves the purpose of automatic loading and unloading of blocks using Image processing and machine learning. The automation part includes automatically detecting the distance and loading/unloading of the load object. The robot undergoes semi unsupervised learning. Distance, is measured using single camera based on pixel area measurement. A G.U.I is present...
Successful results have been booked with using robotics in therapy interventions for autism spectrum disorders (ASD). However, to make the best use of robots, the behavior of the robot needs to be tailored to the learning objectives and personal characteristics of each unique individual with ASD. Currently training practices include adaptation of the training programs to the condition of each individual...
Multisensor data fusion is highly applicable in robotics applications because the relationships among objects and events changes due to the change in orientation of robot, snag in sensory information, sensor range and environmental conditions etc. High level and low level image processing in machine vision are widely involved to investigate object identification in complex application. Due to the...
Smart sensing of environmental parameters is an important task in robotics, process industries, sensor networks and autonomous systems. In this paper, we propose a novel Chebyshev neural network (ChNN) to develop smart sensors which can provide linearized and accurate readout, and can compensate for nonlinear environmental disturbances including additive noise. By taking two environmental models and...
This study describes a novel robotic system using haptic effects and objects, in rich, three- dimensional virtual environments (VEs) for the sensorimotor training of the hemiparetic hand. This system is used to train the hand and arm together as an integrated functional unit. Eight subjects with sub-acute or chronic strokes practiced two to three hours/day for 8 days using four different robotic simulations...
This paper deals with the usage of virtual reality and scenario languages in the field of teleoperation: how to enable a group of teleoperators to control, in a collaborative way, groups of real robots, in turn collaborating with each other to achieve complex tasks; such tasks include inspecting a dangerous area or exploring a partially unknown environment. The main goal is to obtain efficient, natural...
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