The athletic industries in the United States produce apparel and equipment that contribute to the $60.4 billion sports market in North America. However, the processes to produce these goods are inefficient, with over 1% of products defective. They also put factory workers in potentially uncomfortable environments. A shared autonomous robot-assisted sewing system is proposed to mitigate these issues. The system incorporates a computer vision subsystem to identify the sewing path and location of fabric, motion planning algorithms to optimize sewing trajectories, and intuitive input devices that allow a user to teleoperate the robot while sewing. This system has the potential to increase sewing efficiency and decrease the risk posed to workers.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Gudenrath, Sophia Alexandra
• Emrick, Alexandra Kay
• Hatfalvi, Mary Theresa
• Eldredge, Elijah John
• Henke, Emerson Wyatt Howard
• Cupo, Dominic John

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042518-142551

Advisor

• Fu, Jie
• Li, Zhi
• Putnam, Craig B.

Year

• 2018

Sponsor

• New Balance

Date created

• 2018-04-25

Resource type

• Major Qualifying Project

Major

• Computer Science
• Robotics Engineering

Rights statement

• In Copyright