Project Grant 2433608

Award Date 9/1/24
Completion Date 8/31/26
Dollars Obligated $300K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Bozeman, MT 59717, USA
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This EAGER (Early-concept Grants for Exploratory Research) project, awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041), aims to create a personalized training framework that adapts to each worker's cognitive functions and sensorimotor skills in collaborative robotic manufacturing environments. The $299,953 grant, awarded on September 1, 2024, with a completion date of August 31, 2026, focuses on advancing personalized training strategies for complex collaborative robotic manufacturing assembly tasks. The project integrates cognitive science, manufacturing, spatial computing, human factors, artificial intelligence, and advanced robotics to develop an innovative, personalized learning paradigm customized to each trainee's capabilities. A sub-award of unspecified amount was made to Cleveland State University to support this research.

The key products or services to be delivered through this funding include:

  1. A personalized training framework that adapts to individual worker's cognitive and sensorimotor skills to improve learning outcomes and job satisfaction in collaborative robotic manufacturing environments.
  2. Novel synthetic actors, such as avatars, to enhance training and communication across diverse cultures and demographics.
  3. Insights on the impacts of integrating synthetic actors and wearable physiological monitoring on cognitive workload and task performance during complex manufacturing training.
  4. Development of real-time adaptive instruction driven by AI and biometric feedback to influence worker safety, efficiency, and satisfaction in collaborative robotic training settings.

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