Presentation
45. Human-Cobot Collaboration in Manufacturing Systems: Design for Productivity and Trust
SessionPoster Session 2
DescriptionAs Industry 4.0 reshapes the manufacturing landscape, the integration of collaborative robots (cobots) with human workers emerges as a pivotal innovation, enhancing agility and efficiency. This study delves into trust and productivity aspects of cobot integration in manufacturing settings, aiming to fine-tune the synergy between humans and machines. Despite cobots’ potential to boost sensing and physical task performance, their adoption is hindered by challenges in gaining human workers' trust. Our research focuses on assessing cobots in manufacturing assembly tasks, exploring productivity and human-cobot trust dynamics through data collection and participant feedback. Objectives include evaluating manual versus cobot-assisted assembly, analyzing productivity impacts, and trust perceptions. Expected outcomes aim to establish benchmarks for cobot system performance and provide manufacturers with evidence-based guidelines to optimize cobot use, enhancing productivity and trust. Ultimately, this contributes to the broader knowledge of human-cobot interaction, offering insights for improving manufacturing efficiency and worker dynamics.
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
Aging
Augmented Cognition
Children's Issues
Communications
Cybersecurity
Education
Environmental Design
General Sessions
Human AI Robot Teaming (AI)
Macroergonomics
Occupational Ergonomics
Student Forum
Surface Transportation
Sustainability
System Development