FURI | Summer 2024

Optimizing Motion Paths in Physical Work: Integrating Task-Related and Environmental Constraints

Optimizing motion paths is crucial for enhancing efficiency, safety, and productivity. This project aims to develop a combined AI/algorithmic framework that integrates task-related and environmental constraints to generate optimal motion paths for workers doing physical work. Task-related constraints include the type of work, required precision, and specific task sequences, while environmental constraints include workspace layout, presence of obstacles and ergonomic considerations.