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Robot Control Patents: Who Leads, Where the Gaps Are 2026

Robot Control Patents: Who Leads, Where the Gaps Are 2026
https://www.patsnap.com/resources/blog/rd-blog/robot-control-and-planning-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Robot Control & Planning
Robot control and planning patents: where filing concentrates and where it still doesn't
  • 17.1% of all activity sits with five filers. the top five assignees account for 2,041 of 11,910 records in scope, with the leader alone holding 898 — concentration, not fragmentation, at the top of this field.
  • Manipulators dominate the claim map. B25J covers 59.6% of records, more than three times the next class (G05B control systems at 17.5%), so most contested claim space sits inside robot-arm and end-effector mechanics rather than software control layers.
  • Filing has already cooled from its 2022 peak. the field peaked at 1,114 records in 2022 and fell 34% from 2021 (1,023) to 2024 (674), the last year complete enough to read as a real trend given an 18-month publication lag.
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11.9K
Published Records
17%
Top-5 Share of All Records
-34%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (1,023 records) with 2024 (674) — 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 11,910 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··7 min readSourced from Patsnap Eureka
Overview

What this landscape covers

The search set combines robot control and planning language with the mechanisms that make control decisions actionable — position estimation, motion trajectory, environment sensing, actuator control, end-effector operation and collision avoidance. That pairing narrows the field to records where a robot’s decision-making is tied to a physical action, rather than general robotics or AI filings that never specify how control reaches the actuator. Across 11,910 records published between 2015 and the 2026 cut-off, the field reads as mature and concentrated: dense prior art in manipulator mechanics, a shrinking but still active filing rate, and a handful of assignees holding a disproportionate share of the record count.

The picture below treats each record as a family-level data point where possible, since raw document counts inflate assignees who file continuations or duplicate across jurisdictions. Readers evaluating where to file should treat high density in a class as evidence that claim space is occupied, not as proof the underlying technology is finished.

Filing activity and technology composition, 2015–2026
  1. 1SEIKO EPSON CORP898
  2. 2FANUC LTD344
  3. 3OCADO INNOVATION LTD295
  4. 4KAWASAKI JUKOGYO KK255
  5. 5CANON KK249
  6. 6YASKAWA DENKI KK243
  7. 7GDM HOLDING LLC232
  8. 8GOOGLE LLC232
  9. 9LG ELECTRONICS INC210
  10. 10IROBOT CORP207
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Robot Control & Planning 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
The data

Filing trend and technology composition

Two views of the same 11,910-record set: how filing volume has moved year over year, and which IPC subclasses carry the claim density.

Filing trend, 2017–2026

Filings rose from 655 in 2017 to a peak of 1,114 in 2022, then declined 34% from 1,023 in 2021 to 674 in 2024 — the last year with a complete publication window. 2025 and 2026 figures (down to 79 in 2026) are still filling in under the roughly 18-month lag between filing and publication, so they should not be read as a continuing collapse.

Filing trend, 2017–202603006009001,200655201720182019202020211,1142022202320242025792026Most recent year is partial — publication lag means later filings are not yet visible.

IPC subclass composition

B25J (manipulators and robots) covers 59.6% of the 11,910 records, well ahead of G05B control systems (17.5%), A61B surgical and diagnostic applications (13.4%), and G05D non-electric control (10.1%). Because records can carry multiple IPC classes, these shares sum past 100% and should be read against the full record total, not against each other.

IPC subclass compositionB25J · Manipulators & robots7,10059.6%G05B · Control & regulating systems2,08217.5%A61B · Diagnosis & surgery1,59213.4%G05D · Control of non-electric variab…1,20310.1%G06F · Electric digital data processi…9728.2%G06T · Image data processing & genera…8096.8%G06N · Computing based on AI models6195.2%B65G · Conveying & material handling5634.7%Other7,06559.3%

Shares are the percentage of the 11,910 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 Robot Control & Planning 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

Most-cited records and a recent representative filing

Representative recent filing
US12661785B22026-06-23

US12661785B2 — Robot control method and apparatus, robot, and storage medium

TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

The claim covers controlling an end effector to make contact with a target object while still moving toward it, then rotating the end effector against the object to bring it into a pick-up pose, then completing the pick-up — all while the end effector stays in continuous motion from first contact through pick-up.Filed by Tencent Technology (Shenzhen), published 2026-06-23 — illustrates how recent control claims are narrowing to specific motion sequences rather than broad end-effector mechanisms.

US12661785B2 — patent drawing 1US12661785B2 — patent drawing 2
View full record
Highest-cited records in the corpus
#Publication no.Patent titleCitations
1US6786896B1Robotic apparatus2,665
2US7155316B2Microsurgical robot system2,213
3US20190201136A1Method of HUB communication1,637
4US5078140AImaging device – aided robotic stereotaxis system1,567
5US20090012534A1Robotic apparatus1,510
6US20190201118A1Display arrangements for robot-assisted surgical platforms1,498
7US20190201120A1Sensing arrangements for robot-assisted surgical platforms1,449
8US20190201137A1Method of robotic HUB communication, detection, and control1,396
9US20190125361A1Method for operating a powered articulating multi-clip applier1,282
10US20190206563A1Method for adaptive control schemes for surgical network control and interaction1,102

Citation counts inside a searched corpus favour older filings that have had more years to accumulate citations — read this table as a signal of historical influence, not of which claims matter most today.

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 Robot Control & Planning 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 findings that shape where a new application is likely to face prior art, and where it is not.

Concentration
17.1%
of all 11,910 records held by 5 assignees

The top of the field is genuinely concentrated

A leader with 898 records and a fifth-place holder at 249 means the top five assignees combine for 2,041 records, 17.1% of everything in scope. That is real concentration relative to a 100-company ranking with a long tail below tenth place at 207.

Concentration figures are share of all 11,910 records, not share of the ranked 100.
Technology mix
59.6%
of records carry a B25J manipulator classification

Manipulator mechanics still dominate the claim map

B25J alone touches more than half the corpus, dwarfing control-software classes like G05B and G06N. Filers targeting end-effector or arm-mechanism claims are entering the most crowded part of the field; those working in G06N-classed AI-driven planning (5.2% of records) face comparatively less density.

Multiple IPC classes per record mean shares are not mutually exclusive.
Momentum
-34%
filing change, 2021 (1,023) to 2024 (674)

Volume has pulled back from its 2022 peak

After peaking at 1,114 records in 2022, filing volume fell over the following two complete years. Recent-year assignee momentum data shows several established filers already down sharply year-over-year, though the newest years remain under-published.

2025–2026 figures will revise upward as publication catches up.
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Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to robot control & planning patent landscape, with the prior art for and against each one.

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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Robot Control & Planning 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 holds the claim space, and who is pulling back

The ranked leaders are drawn from a 100-company ranking covering the full 11,910-record set. A small number of pairs also co-file consistently, pointing to internal group structures rather than open collaboration.

Leader
898
records held by the top-ranked assignee

One filer holds close to 8% of the whole corpus alone

The leading assignee's 898 records outpace the fifth-ranked filer's 249 by more than three to one, a gap that widens further by tenth place (207). That gradient — steep at the very top, flatter from fifth place down — is typical of a field where one or two incumbents built an early portfolio others are now filing around.

Ranking covers 100 companies; it is not a top-50 or top-100 industry list.
Co-filing
10 pairs
co-assignee pairs identified

Co-filing is limited and mostly intra-group

The strongest co-assignee pair recorded 23 shared filings, followed by pairs at 12 and 11 — in each case the two names are variants of the same corporate group rather than independent collaborators. This suggests portfolio consolidation and subsidiary structuring, not cross-company joint development.

Ten pairs total were identified across the corpus.
Momentum
-64% to -100%
YoY change among tracked assignees in the latest year

Several established filers have gone quiet in the latest year

Recent-year momentum shows established names filing zero or near-zero in the latest tracked year, with year-over-year declines from -64% down to -100% among the assignees tracked. Given the publication lag, this likely overstates the slowdown, but it is consistent with the broader 2021–2024 pullback.

Latest-year counts are the least complete in the dataset.
🔍
Under-claimed branches worth checking before filing
Areas where record density is comparatively thin relative to the core manipulator and control classes.
Multi-robot collision negotiationAI-driven motion re-planning (G06N-classed)Conveying-integrated actuator controlVision-guided end-effector pose correctionNon-electric variable control for soft actuators
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Yaskawa Electric Corporation4-64%
Google LLC2-80%
Seiko Epson Corporation0-100%
FANUC Corporation0-100%
X Development LLC0
Ocado Innovation Limited0-100%
Kawasaki Heavy Industries, Ltd.0-100%
Canon Inc.0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Robot Control & Planning 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 specific next steps depending on whether you are scoping freedom-to-operate or looking for filing openings.

Check density before drafting manipulator claims

With 59.6% of records carrying a B25J classification, any new end-effector or arm-mechanism claim should be checked against this class specifically rather than the field as a whole.

Run a claim-density check in Eureka →

Watch the assignees pulling back

Several top-ranked filers show sharp year-over-year declines in the latest tracked year; confirm whether that reflects a genuine strategy shift or simply publication lag before reading it as an opening.

Track assignee momentum in Eureka →

Test the under-claimed branches

AI-driven re-planning and non-electric actuator control show comparatively lower record density than core manipulator classes — a reasonable starting point for scoping a first claim.

Explore white space in Eureka →
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Robot Control & Planning 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 the robot control patent landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Robot Control & Planning 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.

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