Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Filing growth compares 2021 (122 records) with 2024 (104) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 789 records in scope (CR5), not by the ranked leaders only.
Collaborative robots, or cobots, are designed to share workspace with people rather than operate behind cages, which pushes the patenting activity toward position estimation, motion trajectory planning, sensor fusion and actuator control alongside the mechanical arm itself. This landscape covers 789 published records filed or published between 2015 and the 2026 cut-off, drawn from a search string that pairs the cobot terminology with the specific technical routes used to make a robot safe and useful next to a human worker. Because publication lags filing by roughly 18 months, the most recent years in the trend understate real filing activity.
The dataset spans manipulator hardware, control systems, AI-based decision layers, and a surprisingly large share of business-process and data-processing claims layered on top of the physical robot — a pattern worth noting before assuming this is purely a mechanical-engineering field.
Pick a task. Every answer cites the patents behind it.
Two views of the same 789 records: the filing trend by year, and the IPC subclasses those records carry. Because a single record can carry several IPC codes, the class shares below sum to more than 100% of the record total.
Filings rose from 7 in 2017 to a peak of 147 in 2023, then eased to 104 by 2024 — a 15% decline from the 2021 level of 122. 2025 and 2026 figures are still filling in as publication catches up with filing, so treat the tail of the chart as a floor, not a ceiling.
B25J (manipulators & robots) leads at 40.4% of records, closely followed by G06Q (business, commerce & admin data processing) at 37.5% and G06N (AI-based computing) at 26.9%. Control-oriented classes G05B and G05D together cover a large share of records, while G06V (image/video recognition) sits furthest back at 8.2%, suggesting perception-layer claims remain comparatively open.
Shares are the percentage of the 789 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about collaborative robots patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaA method of path planning via a collaborative robot system in which a user manually programs a first welding path along a seam, records start and end positions across a sequence of identical parts, and the system calculates a welding path for each subsequent part from that one demonstration plus the part count.Filed by Lincoln Global, published 2024-09-19 — illustrates how welding-specific path-planning claims are being layered onto general cobot motion-trajectory art.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20220066456A1 | Obstacle recognition method for autonomous robots | 763 |
| 2 | US20200348662A1 | Platform for facilitating development of intelligence in an industrial internet of things system | 733 |
| 3 | US20210157312A1 | Intelligent vibration digital twin systems and methods for industrial environments | 716 |
| 4 | US20210342836A1 | Systems and methods for controlling rights related to digital knowledge | 470 |
| 5 | US20220366494A1 | Market orchestration system for facilitating electronic marketplace transactions | 441 |
| 6 | US20220108262A1 | Industrial digital twin systems and methods with echelons of executive, advisory and operations messaging and… | 387 |
| 7 | US20220187847A1 | Robot Fleet Management for Value Chain Networks | 341 |
| 8 | US20210133670A1 | Control tower and enterprise management platform with a machine learning/artificial intelligence managing sen… | 340 |
| 9 | US20230123322A1 | Predictive Model Data Stream Prioritization | 338 |
| 10 | US20220197306A1 | Job Parsing in Robot Fleet Resource Configuration | 327 |
Citation counts reflect influence inside this searched corpus and favour older filings; they are not a measure of current commercial importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three patterns stand out once the ranking, the trend and the IPC mix are read together.
The five leading assignees together account for 387 of the 789 records in scope, and the top ten extend that to 462, or 58.6%. Below that line the ranking runs into single- and few-filing entrants, so a freedom-to-operate review should weight the leaders heavily but not assume the long tail is empty.
Filings peaked at 147 in 2023 before easing to 104 by 2024, a 15% pullback from the 2021 level of 122. That is a cooling in a previously hot area, not a collapse, and the most recent two years in the chart are still understated because publication lags filing by about 18 months.
Manipulator and robot hardware (B25J) leads at 40.4% of records, but business, commerce and administrative data-processing claims (G06Q) are close behind at 37.5% — a sign that cobot patenting increasingly bundles the physical arm with a data or transaction layer built around it.
Image and video recognition (G06V) covers only 8.2% of records, well behind control classes G05B (22.6%) and G05D (13.1%). For teams building vision-based obstacle or gesture recognition into a cobot, this is the class with the most visible room.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to collaborative robots patent landscape, with the prior art for and against each one.
The assignee ranking is led by a small cluster of large filers, with named individual co-inventors also showing up as a recurring, tightly linked filing group.
The leading assignee holds 198 records, more than the next several places combined at the fifth position (20) and tenth position (13). That gap suggests a genuinely dominant filer rather than a cluster of near-equal peers at the top.
Among the 10 identified co-assignee pairs, the strongest pairings recur at 14–15 joint filings each, all among the same small group of named individuals. That pattern points to a compact team producing a steady stream of related filings rather than one-off collaborations.
Several of the more active assignees show sharp year-over-year declines in their latest-year filing counts, including drops in the -67% to -100% range for some names on the list. Read this alongside the 18-month publication lag before concluding any single filer has stopped.
| Assignee | Recent year | YoY |
|---|---|---|
| STRONG FORCE TX PORTFOLIO 2018 LLC | 2 | -71% |
| Strong Force IOT Portfolio 2016 LLC | 1 | -67% |
| Strong Force VCN Portfolio 2019 LLC | 0 | -100% |
| Lincoln Global, Inc. | 0 | — |
| EBRAHIMI AFROUZI ALI | 0 | -100% |
| ABB (Schweiz) AG | 0 | — |
| Compagnie Générale des Établissements Michelin | 0 | — |
| PAOLOZZI INVESTMENTS INC | 0 | — |
The dataset points to a field with a dominant filer, a cooling but still active pipeline, and several IPC classes that remain comparatively open.
With one assignee holding 198 of 789 records, any product roadmap touching manipulator control or path planning should be checked against that portfolio specifically, not just the field average.
Explore assignee portfolios in EurekaG06V sits at 8.2% of records, the thinnest of the major classes tracked here — worth monitoring as cobot vision requirements mature.
Watch IPC class trends in EurekaPublication lag means the most recent two years in this trend will keep filling in; revisit the chart in a future cut to see whether the 2023 peak was a high point or a plateau.
Set up a filing alert in EurekaOne assignee leads the ranked list with 198 of the 789 records in scope, well ahead of the fifth-ranked filer at 20 and the tenth-ranked filer at 13. The top five assignees combined account for 387 records, or 49.0% of all records in scope, and the top ten extend that to 58.6%. Below the leading names the ranking thins out quickly into a long tail of companies with only a handful of filings each, so due diligence should focus heavily on the top names rather than treating the field as evenly spread.
Filing activity rose sharply from 7 records in 2017 to a peak of 147 in 2023, but the most recent complete-year comparison shows a decline from 122 filings in 2021 to 104 in 2024, a 15% pullback. That is best read as a cooling from a hot period rather than a field going cold, especially since publication lags filing by roughly 18 months and the 2025-2026 figures in any chart will keep rising as more records publish. Anyone using this trend to time a filing decision should treat the last two years as incomplete rather than as evidence of a slowdown.
Manipulator and robot hardware claims under IPC class B25J appear in 40.4% of the 789 records, making it the single largest technology bucket. Business, commerce and administrative data-processing claims under G06Q are close behind at 37.5%, and AI-based computing claims under G06N cover 26.9% of records. Because a record can carry more than one IPC class, these percentages add up to well over 100%, but the pattern still shows that cobot patents increasingly bundle physical hardware claims with a software or data layer on top.
Image and video recognition claims under G06V cover only 8.2% of the 789 records, the thinnest of the major IPC classes tracked in this dataset, well behind control-system classes G05B at 22.6% and G05D at 13.1%. That relative thinness suggests vision-based perception work — gesture recognition, human-proximity detection, and multi-sensor fusion for perception rather than just control — has more open claim space than the heavily filed manipulator and path-planning areas. Teams drafting in this space should still run a full clearance search, since a lower IPC share does not mean the space is empty, only less dense.
US20240308070A1, published 2024-09-19, claims a method where a user manually demonstrates a welding path along one part in a sequence of identical parts, records the start and end positions across the sequence, and the collaborative robot system calculates the welding path for every remaining part from that single demonstration plus the part count. It is a fairly specific application of motion-trajectory and path-planning technology to repetitive welding tasks rather than a broad claim over cobot path planning generally. Anyone building a similar single-demonstration, multi-part trajectory-transfer feature for welding or a comparable repetitive task should review this filing's claim scope closely before assuming their approach is clear.
Go past this page: query the whole collaborative robots patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.