Fetch Robotics

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Autonomous Mobile Robots (AMRs) that improve throughput, efficiency and productivity in commercial and industrial environments — all while working with people.

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Highlights
Fetch Robotics Named As a Leader In IDC MarketScape Report

Fetch Robotics Named As a Leader In IDC MarketScape for Autonomous Mobile Robots for General Warehouse Automation Report Recognizes Fetch as an AMR Leader Owing to Cloud Robotics Expertise, Broad Product Portfolio, Ease of Integration SAN JOSE, Calif. May 29, 2019 — Fetch Robotics, the pioneer of on-demand automation, today announced that it has been named as a Leader by industry analyst group IDC in the IDC MarketScape assessment of eight key vendors providing Autonomous Mobile Robots (AMRs) for the general automation market. To learn more about how Cloud Robotics delivers on-demand automation for warehouses and manufacturing, download: https://info.fetchrobotics.com/idc-cloud-robotics-spotlight About IDC MarketScape IDC MarketScape vendor assessment model is designed to provide an overview of the competitive fitness of ICT (information and communications technology) suppliers in a given market. We provide innovative, on-demand warehouse automation solutions for material handling and inventory management by combining mobile robotics with the power of the cloud to find, track, and move almost anything in any facility.

Winner Announced of Fetch Robotics FetchIt! Mobile Manipulation Challenge

Challenge attracted teams from leading universities, who were tasked with using a Fetch Mobile Manipulator robot to navigate to stations in a work cell where they picked up items with the arm, inserted them into a machining tool, placed the machined items into kits, transported the finished kits to an inspection station, and then to a drop-off location. Georgia Tech was awarded first prize for successfully assembling three kits in thirty-nine minutes, earning a prize package that included a Fetch Mobile Manipulation Research Robot – a $100K value – along with additional prizes from co-sponsors EandM, SCHUNK GmbH and SICK AG. Platform for Robotic Research Designed to work with the Robot Operating System (ROS) for the greatest common usability and familiarity, the Fetch Mobile Manipulator and the Freight Mobile Robot Base are robotics platforms used by researchers around the world to collaborate and share research. The Fetch Research Robot is being used by researchers and innovators at the world’s most advanced organizations, including Arizona State University, Carnegie Mellon University, Google, Northeastern University, OpenAI, Shenzen University, Softbank, University of Michigan, University of North Carolina-Charlotte, University of Sydney, University of Tokyo, Virginia Tech and more.

8 Pallet Transportation Workflows Automated by Freight500 & Freight1500

1) Saves movement and travel time, 2) decreases order dwell time, and 3) allows pickers to focus on more productive tasks that drive business like picking, storing, and replenishing. 1) Saves movement and travel time, 2) allows associates to focus on higher-level tasks, and 3) mitigates cumbersome stacking at the end of the line, as well as backups caused by lack of space. 1) Saves movement and travel time, 2) allows more associates to focus on production-focused tasks and 3) optimizes production flow. 1) Saves movement and travel time, and 2) allows associates to focus on higher-value tasks.

6 Material Transport Workflows Transformed by Automated Carts

When bulk goods arrive at receiving for breakdown, fast and efficient material transport to forward pick is key to efficiency, especially when the bulk contains Fast Moving Consumer Goods (FMCG) or components for kitting and assembly. 1) Saves movement and travel time, 2) increases picking productivity, and 3) is easy to introduce to existing workflows. Saves movement and travel time, 2) increases VAS upsell margins, 3) streamlines production, and 4) allows personnel to focus on higher level tasks and activities. 1) Saves movement and travel time, 2) streamlines rush order fulfillment, and 3) allows runners to focus on higher-level tasks.

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