scholarly journals Robotic Assistant Agent for Student and Machine Co-Learning on AI-FML Practice with AIoT Application

Author(s):  
Chang-Shing Lee ◽  
Mei-Hui Wang ◽  
Zong-Han Ciou ◽  
Rin-Pin Chang ◽  
Chun-Hao Tsai ◽  
...  
Keyword(s):  
1997 ◽  
Vol 174 (4) ◽  
pp. 406-409 ◽  
Author(s):  
Jonathan M. Sackier ◽  
Chuck Wooters ◽  
Lisa Jacobs ◽  
Amy Halverson ◽  
Darrin Uecker ◽  
...  
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2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 409-410
Author(s):  
Nadia Firdausya ◽  
Alex Bishop ◽  
Barbara Carlson ◽  
Weihua Sheng

Abstract Data for this study was acquired from three separate stakeholder focus group sessions involving nurse case managers (n = 5), social agency caseworkers (n = 5), and rural outreach providers (n = 5). Participants across all groups were asked to address the question: “When it comes to your work, what would you want a smart robot assistant to do for you?” Data from the three sessions were combined, transcribed verbatim, coded, and analyzed for thematic content. Three shared themes emerged, including health monitoring, behavioral intervention, and healthcare literacy. Relative to health monitoring, participants desired a robot that possessed functions in the form of “taking vital signs,” and “tracking water and food intake.” There was also a thematic agreement regarding behavioral intervention capabilities. Most notably, advisory stakeholders acknowledged a need for a smart robotic assistant to provide geriatric care recipients with “an alert or reminder to take medication.” This was viewed as an essential intervention for improving medication adherence. Healthcare literacy emerged as a final theme among advisory groups. In particular, participants noted that a smart robot should assist with bi-directional communication and translation of health care information and instructions as a way to “minimize impediments of care due to language barriers.” Findings will be further used to highlight how future integration of robotic health assistants represents a viable solution in helping geriatric healthcare workers work effectively alongside machines to meet the diverse care needs of older adults in both urban and rural settings.


2021 ◽  
Vol 8 (03) ◽  
Author(s):  
Rohan C. Vijayan ◽  
Runze Han ◽  
Pengwei Wu ◽  
Niral M. Sheth ◽  
Michael D. Ketcha ◽  
...  

2021 ◽  
Author(s):  
Makoto Jinno ◽  
Gang Li ◽  
Niravkumar Patel ◽  
Iulian Iordachita
Keyword(s):  

2021 ◽  
Vol 14 (3) ◽  
pp. 1-3
Author(s):  
Satoshi Tateshima ◽  
Hamidreza Saber ◽  
Geoffrey P Colby ◽  
Dieter Enzmann ◽  
Gary Duckwiler

Robotic-assisted technology has shown to be promising in coronary and peripheral vascular interventions. Early case reports have also demonstrated its efficacy in neuro-interventions. However, there is no prior report demonstrating use of the robotic-assisted platform for spinal angiography. We report the feasibility of the robotic-assisted thoracic and lumbar spinal angiography.


Author(s):  
Vladimir Robles-Bykbaev ◽  
Mario Ochoa-Guaraca ◽  
Marco Carpio-Moreta ◽  
Daniel Pulla-Sanchez ◽  
Luis Serpa-Andrade ◽  
...  

2016 ◽  
Vol 01 (02) ◽  
pp. 1650001 ◽  
Author(s):  
Elisa Beretta ◽  
Giancarlo Ferrigno ◽  
Elena De Momi

Surgeons can benefit from the cooperation with a robotic assistant during the repetitive execution of precise targeting tasks on soft tissues, such as brain cortex stimulation procedures in open-skull neurosurgery. Position-based force-to-motion control schemes may not be satisfactory solution to provide the manipulator with the high compliance desirable during guidance along wide trajectories. A new torque controller with nonlinear force feedback enhancement (FFE) is presented to provide augmented haptic perception to the operator from instrument-tissue interaction. Simulation tests were performed to evaluate the system stability according to different nonlinear force modulation functions (power, sigmoidal and arc tangent). The FFE controller with power modulation was experimentally validated with a pool of nonexpert users using brain-mimicking gelatin phantoms (8–16% concentration). Besides providing hand tremor rejection for a stable holding of the tool, the FFE controller was proven to allow for a safer tissue contact with respect to both robotic assistance without force feedback and freehand executions (50% and 75% reduction of the indentation depth, respectively). Future work will address the evaluation of the safety features of the FFE controller with expert surgeons on a realistic brain phantom, also accounting for unpredictable tissue motions as during seizures due to cortex stimulation.


2017 ◽  
pp. 291-315
Author(s):  
Vladimir Robles-Bykbaev ◽  
Martín López-Nores ◽  
Jorge Andrés Galán-Mena ◽  
Verónica Cevallos León Wong ◽  
Diego Quisi-Peralta ◽  
...  

The term Autism Spectrum Disorders (ASDs) covers conditions such as autism, childhood disintegrative disorder and Asperger syndrome. In this line, the World Health Organization (WHO) points that core symptoms of ASD are: a mixture of impaired capacity for reciprocal socio-communicative interaction and a restricted, stereotyped repetitive repertoire of interests and activities. Therefore, it is fundamental for a person with ASD to develop skills to communicate with his/her peers, share ideas, and express feelings. On those grounds, this chapter presents an intelligent ecosystem to support the development of social communication skills in children with ASD. The ecosystem uses a knowledge model that relies on ontologies, and defines the main elements that will be used for psychological intervention process. The different activities that will be carried out during the therapeutic intervention can be done using a robotic assistant or a Multi-Sensory Stimulation Room. This proposal has been tested with 47 children of regular schools, 9 specialists on ASD, and 36 children with ASD.


Author(s):  
Vladimir Robles-Bykbaev ◽  
Martín López-Nores ◽  
Jorge Andrés Galán-Mena ◽  
Verónica Cevallos León Wong ◽  
Diego Quisi-Peralta ◽  
...  

The term Autism Spectrum Disorders (ASDs) covers conditions such as autism, childhood disintegrative disorder and Asperger syndrome. In this line, the World Health Organization (WHO) points that core symptoms of ASD are: a mixture of impaired capacity for reciprocal socio-communicative interaction and a restricted, stereotyped repetitive repertoire of interests and activities. Therefore, it is fundamental for a person with ASD to develop skills to communicate with his/her peers, share ideas, and express feelings. On those grounds, this chapter presents an intelligent ecosystem to support the development of social communication skills in children with ASD. The ecosystem uses a knowledge model that relies on ontologies, and defines the main elements that will be used for psychological intervention process. The different activities that will be carried out during the therapeutic intervention can be done using a robotic assistant or a Multi-Sensory Stimulation Room. This proposal has been tested with 47 children of regular schools, 9 specialists on ASD, and 36 children with ASD.


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