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Amazon Robotics: History & Companies

Amazon Robotics LLC, formerly Kiva Systems, is a Massachusetts-based company that manufactures mobile robotic fulfillment systems. It is a subsidiary of Amazon.com. Its automated storage and retrieval systems have been used in the past by companies including Gap, Walgreens, Staples, Gilt Groupe, Office Depot, Crate & Barrel, Amazon and Saks Fifth Avenue.

Language: English [EN]
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Amazon Robotics topic overview

The analysis highlights History and Companies as prominent areas in the source structure around Amazon Robotics.

Related topics
19
Source areas
3
Connected nodes
22
Extracted relationships
9
Related term clusters
17
Bridge connections
22

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 15 topics
History · 3 topics
Acquisition by Amazon · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded
2003; 23 years ago (2003)
Headquarters
United States
Area served
Worldwide
Key people
Mick Mountz · Peter Wurman · Raffaello D'Andrea
Parent
Amazon (2012–present)
Type
Subsidiary

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Amazon Robotics
9Amazon.com · Automated storage and retrieval system · Gap Inc.
10Webvan · Mick Mountz · Raffaello D'Andrea

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Acquisition by Amazon

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How Amazon Robotics connects Entity context

The extracted context around Amazon Robotics shows recurring relationship patterns in the source. For example, Amazon Robotics → Mick Mountz, Peter Wurman, Raffaello D'Andrea Another extracted example is Amazon Robotics → Worldwide. Use these groups to spot repeated connection types before inspecting the individual relationships.

Amazon Robotics

Top relations

Key people · 3
Amazon Robotics → Mick Mountz, Peter Wurman, Raffaello D'Andrea
Area served · 1
Amazon Robotics → Worldwide
Founded · 1
Amazon Robotics → 2003; 23 years ago (2003)
Headquarters · 1
Amazon Robotics → United States
Parent · 1
Amazon Robotics → Amazon (2012–present)
Type · 1
Amazon Robotics → Subsidiary
Website · 1
Amazon Robotics → amazon.jobs/amazon-robotics

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

amazon kiva systems robots robotics company mobile mountz llc warehouses robotic com automated subsidiary acquisition wurman d'andrea formerly staples system

Amazon Robotics relationships Subject–Predicate–Object triples

TTTA extracted 9 structured relationships around Amazon Robotics. Examples in this analysis include Amazon Robotics → Area served → Worldwide and Amazon Robotics → Founded → 2003; 23 years ago (2003). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Amazon RoboticsArea servedWorldwide1.00infobox
Amazon RoboticsFounded2003; 23 years ago (2003)1.00infobox
Amazon RoboticsHeadquartersUnited States1.00infobox
Amazon RoboticsKey peopleMick Mountz1.00infobox
Amazon RoboticsKey peoplePeter Wurman1.00infobox
Amazon RoboticsKey peopleRaffaello D'Andrea1.00infobox
Amazon RoboticsParentAmazon (2012–present)1.00infobox
Amazon RoboticsTypeSubsidiary1.00infobox
Amazon RoboticsWebsiteamazon.jobs/amazon-robotics1.00infobox

Related concept clusters Related term clusters

The concept neighborhoods around Amazon Robotics bring nearby vocabulary together. In this analysis, examples include Robotics, Systems and Kiva. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Amazon Robotics
    • Robotics
    • Systems
    • Kiva
    • Robots
    • Com
    • Llc
    • Robotic
    • Warehouses
    • High
    • History
    • People
    • Peter
  • amazon robotics
    • Robotic
    • Fulfillment
    • Website
    • Robotics
    • Systems
    • Company
    • Kiva
    • Robots
    • Com
    • Llc
    • Mick
    • Warehouses
  • amazon.com
    • Robotics
    • Systems
    • Kiva
    • Gilt
    • Groupe
    • Staples
    • Subsidiary
    • Warehouse
    • Website
    • Robots
    • Com
    • Llc
  • automated storage and retrieval systems
    • Gilt
    • Groupe
    • Staples
    • Gap
    • Walgreens
    • D'andrea
    • Mountz
    • Storage
    • Warehouse
    • Website
    • Wurman
    • Com
  • acquisition by amazon
    • History
    • Robotics
    • Mick
    • Systems
    • Kiva
    • Formerly
    • Fulfillment
    • High
    • People
    • Peter
    • Raffaello
    • Subsidiary
  • peter wurman
    • D'andrea
    • Mountz
    • Raffaello
    • Peter
    • Wurman
    • Mick
    • Subsidiary
    • Website
    • Working
    • Formerly
    • Fulfillment
    • High
  • raffaello d'andrea
    • Mountz
    • Wurman
    • Peter
    • Raffaello
    • Mick
    • Subsidiary
    • Website
    • Working
    • Formerly
    • Fulfillment
    • High
    • History
  • history
    • Mick
    • High
    • People
    • Peter
    • Raffaello
    • Subsidiary
    • Website
    • Working
    • D'andrea
    • Llc
    • Mountz
    • System

Connections between topic areas Semantic bridges

For Amazon Robotics, one of the stronger structural bridges in this analysis connects Amazon Robotics with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Amazon Robotics — Overview · splits 7 ⟂ 16
Amazon Robotics — History · splits 19 ⟂ 4

Map overview Semantic statistics

Amazon Robotics

Nodes23
Edges22
Triples9
Avg. degree1.91
Density0.086957
Components1

Source & methodology

TTTA analyzes the structure around Amazon Robotics to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Amazon Robotics · EN edition · Analysis: TopicsToTalkAbout

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