Restricted Research - Award List, Note/Discussion Page

Fiscal Year: 2018

1973  The University of Texas at Arlington  (75791)

Principal Investigator: Fillia Makedon

Total Amount of Contract, Award, or Gift (Annual before 2011): $ 999,638

Exceeds $250,000 (Is it flagged?): Yes

Start and End Dates: 9/1/17 - 8/30/20

Restricted Research: YES

Academic Discipline: Department of Computer Science & Engineering

Department, Center, School, or Institute: College of Engineering

Title of Contract, Award, or Gift: PFI:BIC: iWork, a Modular Multi-Sensing Adaptive Robot-Based Service for Vocational Assessment, Personalized Worker Training and Rehabilitation

Name of Granting or Contracting Agency/Entity: National Science Foundation (NSF)

Program Title: N/A
CFDA Linked: Engineering Grants


We propose to develop a smart assessment and intervention service system, called iWork, that uses low cost sensing technologies to collect evidence-based work-related assessment data of worker’s skills and needs for training in an experimental setting that simulates industry tasks. The service collects multi-sensing activity data while a worker is involved in performing different types of work-related tasks. It integrates and analyzes this data and recommends personalized interventions to prepare or improve the individual’s skills for a particular job. We propose to develop iWork, a smart modular multi-sensing robot-based service that integrates physical, cognitive and collaboration assessments of the abilities of a worker and provides recommendations for personalized intervention, using as initial development testbed an assembly type of industrial setting that tests mental, cognitive and physical abilities of a worker, with the aim to gain insights that transform vocational training practices. The service includes three main phases: (1) Multisensing Assessment module, (2) Recommendation Module and (3) Personalized and Adaptive Robot-Based Training. The data collected through the proposed iWork system will assess three types of work skills or capabilities critical to the factory of the future: physical, cognitive, and communication or collaboration abilities. The service is smart because it can adapt to the individual’s abilities as it assesses him/her and decides on the type of task to be performed, depending on its complexity, level of difficulty or familiarity to the worker.  Moreover, the proposed service is able to integrate expert knowledge in order to be adjusted and refined for specific requirements and needs......

Discussion: No discussion notes


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