https://www.patsnap.com/resources/blog/rd-blog/collaborative-robots-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Collaborative Robots
Collaborative Robots Patents: Mapping the Filers, the Technology Mix and the Open Claim Space
  • 49.0% concentration at the top. The five leading assignees account for 387 of the 789 records in scope, with a long tail of single- and few-filing entrants below them.
  • Growth has cooled, not stopped. Filings ran 122 in 2021 to 104 in 2024, a 15% pullback over that span, even as manipulator and control-system classes stay densely filed.
  • Business-process claims rival hardware claims. G06Q (business, commerce & admin data processing) appears in 37.5% of records, nearly as often as B25J manipulator claims at 40.4%.
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789
Published Records
49%
Top-5 Share of All Records
-15%
Filing Growth 2021→2024
US
Leading Jurisdiction

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.

Published byPatsnap Research··8 min readSourced from Patsnap Eureka
Overview

What the collaborative robots patent landscape covers

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.

Filing activity and technology composition, 2015–2026
  1. 1STRONG FORCE VCN PORTFOLIO 2019 LLC198
  2. 2STRONG FORCE TX PORTFOLIO 2018 LLC81
  3. 3STRONG FORCE IOT PORTFOLIO 2016 LLC67
  4. 4LINCOLN GLOBAL INC21
  5. 5AI INC20
  6. 6ABB (SCHWEIZ) AG19
  7. 7MICHELIN & CO (CIE GEN DES ESTAB MICHELIN)16
  8. 8FESTO AG & CO KG14
  9. 9PAOLOZZI INVESTMENTS INC13
  10. 10TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)13
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Collaborative Robots Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The Data

Filing trend and technology composition

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.

Filing trend, 2017–2026

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.

Filing trend, 2017–2026038751131507201720182019202020212022147202320242025212026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass composition

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.

IPC subclass compositionB25J · Manipulators & robots31940.4%G06Q · Business, commerce & admin dat…29637.5%G06N · Computing based on AI models21226.9%G05B · Control & regulating systems17822.6%G06F · Electric digital data processi…13617.2%H04L · Digital information transmissi…11114.1%G05D · Control of non-electric variab…10313.1%G06V · Image/video recognition658.2%Other62278.8%

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%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Collaborative Robots Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Representative filing and most-cited records

Representative Filing
US20240308070A12024-09-19

US20240308070A1 — Robot with smart path planning for multiple parts

LINCOLN GLOBAL, INC.

A 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.

US20240308070A1 — patent drawing 1US20240308070A1 — patent drawing 2
View full filing
Most-cited records in the collaborative robots dataset
#Publication no.Patent titleCitations
1US20220066456A1Obstacle recognition method for autonomous robots763
2US20200348662A1Platform for facilitating development of intelligence in an industrial internet of things system733
3US20210157312A1Intelligent vibration digital twin systems and methods for industrial environments716
4US20210342836A1Systems and methods for controlling rights related to digital knowledge470
5US20220366494A1Market orchestration system for facilitating electronic marketplace transactions441
6US20220108262A1Industrial digital twin systems and methods with echelons of executive, advisory and operations messaging and…387
7US20220187847A1Robot Fleet Management for Value Chain Networks341
8US20210133670A1Control tower and enterprise management platform with a machine learning/artificial intelligence managing sen…340
9US20230123322A1Predictive Model Data Stream Prioritization338
10US20220197306A1Job Parsing in Robot Fleet Resource Configuration327

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.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Collaborative Robots Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Three patterns stand out once the ranking, the trend and the IPC mix are read together.

Concentration
49.0% of 789
held by top 5 assignees

The top of the ranking is dense, the rest is thin

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.

Based on the 100-company assignee ranking returned for this dataset.
Trend
122 → 104
filings, 2021 to 2024

Momentum has cooled from its 2023 peak

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.

2024 is the most recent year treated as complete for growth comparisons.
Technology mix
40.4% vs 37.5%
B25J vs G06Q share

Business-process claims run almost as deep as hardware claims

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.

Class shares sum to more than 100% because records can carry multiple IPC codes.
Perception layer
8.2% of 789
G06V image/video recognition

Perception claims are the thinnest major class

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.

Compare against B25J and G06N to judge relative claim density before drafting.
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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Collaborative Robots Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and where the field is still open

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.

Leader
198 records
single top assignee

One filer sits well ahead of the field

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.

Fifth place holds 20 records, tenth place holds 13.
Filing pairs
15 co-filings
strongest co-assignee pair

A tight inventor cluster files together repeatedly

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.

Ten co-assignee pairs identified across the dataset.
Momentum
-71% YoY
one large filer's latest-year drop

Even active filers are pulling back year over year

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.

Momentum figures compare the latest available year to the prior year for each assignee.
🔍
Under-claimed sub-areas worth a closer look
These branches sit behind the dominant manipulator and control-system claims, based on the relative thinness of their IPC coverage in this dataset.
Vision-based gesture recognition for cobotsMulti-robot sensor fusion coordinationHuman-proximity path replanningForce-feedback actuator calibrationWelding-specific trajectory transfer
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
STRONG FORCE TX PORTFOLIO 2018 LLC2-71%
Strong Force IOT Portfolio 2016 LLC1-67%
Strong Force VCN Portfolio 2019 LLC0-100%
Lincoln Global, Inc.0
EBRAHIMI AFROUZI ALI0-100%
ABB (Schweiz) AG0
Compagnie Générale des Établissements Michelin0
PAOLOZZI INVESTMENTS INC0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Collaborative Robots Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this analysis

The dataset points to a field with a dominant filer, a cooling but still active pipeline, and several IPC classes that remain comparatively open.

Run a freedom-to-operate check against the leader

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 Eureka

Track the vision and perception classes

G06V 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 Eureka

Re-check the 2025-2026 filing tail periodically

Publication 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 Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Collaborative Robots Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about collaborative robot patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Collaborative Robots Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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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.