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iRobot Corporation is an American technology company that designs and builds consumer robots. It was founded in 1990 by three members of MIT's Artificial Intelligence Lab, who designed robots for space exploration and military defense. The company's products include a range of autonomous home vacuum cleaners (Roomba), floor moppers (Braava), and other…
The analysis highlights History, Companies, Products and Art as prominent areas in the source structure around IRobot.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around IRobot shows recurring relationship patterns in the source. For example, IRobot → August, California, Colin Angle, Helen Greiner, In, Inc, Industry, International Trade, IS Robotics, IS Robotics Corporation, Japan's Ministry, June, Massachusetts, Micromachine Center, MIT's Artificial Intelligence Lab, MITI, Rodney Brooks Another extracted example is IRobot → Amazon, Amazon's, Federal Trade Commission, FTC, In July, In June, In September, July, Markets Authority, On August, RVCs, The, The European Commission, UK's Competition, US. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
robot roomba robotics robots designed military floor company cleaning announced acquired also amazon released use home 2022 new research corporation
TTTA extracted 104 structured relationships around IRobot. Examples in this analysis include IRobot → Fate → Bankruptcy, acquisition by Shenzhen Picea Robotics December 2025 and IRobot → Founded → 1990; 36 years ago (1990), Delaware, U.S.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IRobot | Fate | Bankruptcy, acquisition by Shenzhen Picea Robotics December 2025 | 1.00 | infobox |
| IRobot | Founded | 1990; 36 years ago (1990), Delaware, U.S. | 1.00 | infobox |
| IRobot | Founders | Rodney Brooks | 1.00 | infobox |
| IRobot | Founders | Colin Angle | 1.00 | infobox |
| IRobot | Founders | Helen Greiner | 1.00 | infobox |
| IRobot | Headquarters | Bedford, Massachusetts, U.S. | 1.00 | infobox |
| IRobot | Industry | Robotics | 1.00 | infobox |
| IRobot | Key people | Andrew Miller (chairman) | 1.00 | infobox |
| IRobot | Key people | Gary Cohen (CEO) | 1.00 | infobox |
| IRobot | Key people | Julie Zeiler (CFO) | 1.00 | infobox |
| IRobot | Net income | US$−305 million (2023) | 1.00 | infobox |
| IRobot | Number of employees | 1,113 (December 2023) | 1.00 | infobox |
| IRobot | Operating income | US$−264 million (2023) | 1.00 | infobox |
| IRobot | Products | Domestic robots | 1.00 | infobox |
| IRobot | Products | Military robots (until 2016) | 1.00 | infobox |
| IRobot | Revenue | US$891 million (2023) | 1.00 | infobox |
| IRobot | Total assets | US$734 million (2023) | 1.00 | infobox |
| IRobot | Total equity | US$196 million (2023) | 1.00 | infobox |
| IRobot | Traded as | Nasdaq: IRBT | 1.00 | infobox |
| IRobot | Type | Private | 1.00 | infobox |
| IRobot | Website | irobot.com | 1.00 | infobox |
The concept neighborhoods around IRobot bring nearby vocabulary together. In this analysis, examples include Robotics, Roomba and Acquired. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For IRobot, one of the stronger structural bridges in this analysis connects IRobot 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.
TTTA analyzes the structure around IRobot to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Products & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — IRobot · EN edition · Analysis: TopicsToTalkAbout