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Help lead the future of Artificial Intelligence for Advanced Robotic Manufacturing Systems

National AI Data Survey
ARM Institute
  • RoboticsCareer.org
  • Member Login
  • About
    • Why the ARM Institute
    • Who We Help
    • Team
    • Careers
    • Location
  • Our Work
    • Overview
    • Program Management
    • Workforce Development
    • Technology Development
    • Membership & Ecosystem Creation
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Home › Projects › Autonomous Material Handling for Medical Devices and Consumer Goods

Autonomous Material Handling for Medical Devices and Consumer Goods

Background

This robotic solution focuses on increasing flexibility in e-commerce to better respond to sudden supply chain disruption demands, which existed before the COVID-19 pandemic and were further exacerbated by the crisis. The project team developed a fully autonomous collaborative robot that can travel to stocked items and pick things from within storage containers.

Objective

Respond to sudden supply chain disruptions caused by pandemics and other similarly disruptive situations.

Technical Approach

There are two methods for piece picking in the market today: “Goods-to-Person” and “Person-to-Goods”.

  • The Person-to-Goods method dominates the market today. In this method, humans travel to a storage location then pick the required product contained in boxes. This is a highly manual process
  • The Goods-to-Person approach removes the worker travel by using an automated case/tote retrieval system to bring the product to a central location. However, the physical removal of the item is predominately a manual process.

This project will develop a fully autonomous system that will improve the current process by: order accuracy 4%, cycle time reduction by 10%, reduction in training time by 10%, reduction in activity cost by 10%, reduction in labor to perform task by 90%.

Participants

Johnson & Johnson (PI), IAM Robotics, Carnegie Mellon University

Project Type

Technology

Artificial Intelligence

Human-Robot Trust and Safety

Modular Robotic Designs

Plug-and-Play Hardware and Standards (system level)

Plug-and-Play Software and Standards (System Level)

Year Completed

2020

Project Team

IAM Robotics

Carnegie Mellon University

Principle Investigator

Johnson & Johnson (PI)

ARM Institute

The ARM Institute is a Manufacturing Innovation Institute (MII) funded by the Office of the Secretary of Defense and is part of the Manufacturing USA® network.

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