Ethan Chang
Computer systems engineering
Hometown: Novato, California, United States
Graduation date: Spring 2025
Additional details: Honors student
FURI | Summer 2024, Needs Review
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.
Mentor: Shenghan Guo
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