Student Work

THINK Robots

Public

Contenu téléchargeable

open in viewer

Retailers rely on Kiva Systems’ warehouse robots to deliver order-fulfillment services, but current systems are frequently interrupted and require physical barriers to ensure compliance with safety regulations since Kiva does not currently rely on the obstacle detection system to contribute to the functional safety of its overall system. After evaluating operating scenarios and detection technologies, a solution comprised of a stereo vision system to detect static objects and a radio ranging system to identify humans in the vicinity was designed, built, and verified, with the aim of reducing undue downtime and allowing humans and robots to safely interact without physical restrictions.

  • 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
Contributeurs
Publisher
Identifier
  • E-project-042315-154821
Advisor
Year
  • 2015
Sponsor
Date created
  • 2015-04-23
Resource type
Major
Rights statement
Dernière modification
  • 2020-12-27

Relations

Dans Collection:

Contenu

Articles

Permanent link to this page: https://digital.wpi.edu/show/wh246t48v