https://www.patsnap.com/resources/blog/rd-blog/humanoid-robot-slam-and-navigation-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Robotics & Automation · Patent Landscape
Humanoid Robot SLAM and Navigation Patents: Mapping Who Owns the Ground
  • Filing has cooled since its 2025 peak of 12. the midpoint year (2022) sat at 7, and the partial 2026 count of 2 confirms a flattening rather than a growth curve — publication lag aside, this is not an accelerating field.
  • No assignee dominates the recent-year momentum table. every tracked assignee shows zero or negative year-on-year filing in the latest period, which points to a field still owned by a long tail rather than a settled leader.
  • B25J and G05D together cover the majority of records. manipulator/robot structure and non-electric control classes carry more filing weight than the navigation-specific classes (G01C, G01S, G06T), meaning locomotion mechanics are more heavily claimed than perception or mapping.
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48
Published Records
75%
Top-5 Share of All Records
-75%
Filing Growth 2021→2024
US
Leading Jurisdiction

Filing growth compares 2021 (4 records) with 2024 (1) — 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 48 records in scope (CR5), not by the ranked leaders only.

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

What this landscape covers

This dataset tracks published patent families at the intersection of humanoid, bipedal and legged robots with visual SLAM, localization and mapping, and terrain-aware navigation, filtered to the IPC classes covering control of non-electric variables (G05D1/02), navigation and gyroscopes (G01C21/16) and manipulator/robot structure (B25J9/16). It spans filings from 2015 through the 2026 data cut-off, with 48 total records forming the basis of every ranking and chart on this page.

Publication typically lags filing by around 18 months, so the 2025 and 2026 counts in the trend chart understate actual filing activity in those years. Treat the most recent two data points as a floor, not a ceiling.

Filing activity by year, 2017–2026
  1. 1SONY GROUP CORP15
  2. 2HEXAGON ROBOTICS GMBH7
  3. 3FIGURE AI INC7
  4. 4TENCENT TECHNOLOGY (SHENZHEN) CO LTD5
  5. 5HEXAGON TECH CENT GMBH2
  6. 6SOFTBANK ROBOTICS EURO2
  7. 7原极(上海)科技有限公司1
  8. 8VIDYA JYOTHI INST OF TECH1
  9. 9Hangzhou Fanjia Technology Co., Ltd.1
  10. 10MR M RAVI1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Humanoid Robot SLAM and Navigation covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The Numbers

Filing trend and technology composition

Two views of the same 48-family dataset: how filing activity has moved year over year, and which IPC subclasses carry the claim density.

Filing trend: a flat-to-declining curve

Filings rose from 3 in 2017 to a peak of 12 in 2025, passing through 7 at the 2022 midpoint. The 2026 figure of 2 is partial by definition, but even adjusting for lag, the shape is a plateau rather than sustained growth — this is a field with an established filing base, not one in a land-grab phase.

Filing trend: a flat-to-declining curve03691232017201820192020202120222023202412202522026Most recent year is partial — publication lag means later filings are not yet visible.

IPC composition: locomotion mechanics lead navigation

B25J (manipulators & robots, 25 records) and G05D (control of non-electric variables, 24 records) dominate, with B62D (motor vehicles & steering, 13) close behind. Navigation-specific classes — G01C (6), G01S (5) and G06T (3) — are comparatively thin, suggesting perception and mapping claims are less crowded than the mechanical and control layers built around them.

IPC composition: locomotion mechanics lead navigationB25J · Manipulators & robots2552.1%G05D · Control of non-electric variab…2450.0%B62D · Motor vehicles & steering1327.1%G01C · Distance, navigation & gyrosco…612.5%G06N · Computing based on AI models612.5%G01S · Radar, sonar & positioning510.4%G05B · Control & regulating systems48.3%G06T · Image data processing & genera…36.3%Other36.3%

Shares are the percentage of the 48 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 Humanoid Robot SLAM and Navigation covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

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Key Patents

Most-cited records and a representative filing

Representative Filing
WO2024120607A12024-06-13

WO2024120607A1 — Humanoid robot comprising articulated legs with wheels or tracks

HEXAGON TECHNOLOGY CENTER GMBH

The invention relates generally to a mobile robot, e.g. a humanoid robot, configured to provide reality capture and metrology grade geometric measurement, e.g. to generally support infrastructure surveillance and/or to support workflows in the field of metrology. Aspects of the mobile robot, inter alia, relate to providing increased accuracy of metrology grade devices to overcome deficiencies in mobile reality capture. On the other hand, benefits of mobility provided by mobile robots are transformed to the field of metrology while maintaining metrology grade accuracy.Filed by Hexagon Technology Center GmbH, published 2024-06-13.

WO2024120607A1 — patent drawing 1WO2024120607A1 — patent drawing 2
View full filing
Highest-cited records in this corpus
#Publication no.Patent titleCitations
1US20210387346A1Humanoid robot for performing maneuvers like humans53
2CN107085422A一种基于Xtion设备的多功能六足机器人的远程控制系统41
3US20200333790A1Control device, and control method, program, and mobile body20
4US20200387162A1Control device and control method, program, and mobile object15
5WO2019131198A1Control device, control method, program, and mobile body14
6WO2019111701A1Control device, control method, program, and moving body9
7CN120558242A一种人形机器人惯性导航与视觉融合定位方法、装置及设备8
8WO2019098082A1Control device, control method, program, and moving body7
9US11592829B2Control device and control method, program, and mobile object6
10CN118330672A一种足式机器人隧道三维测图方法及装置4

Citation counts reflect influence within this searched corpus and skew toward older filings; they are not a proxy for current commercial relevance.

Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. 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 Humanoid Robot SLAM and Navigation covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers imply for strategy

Three read-throughs from the filing trend, the IPC split and the citation table, translated into decisions rather than descriptions.

Filing pace
Peak 12 (2025)
vs. 7 at 2022 midpoint

Growth has plateaued, not accelerated

A rise from 3 filings in 2017 to a 2025 peak of 12, passing through 7 at the midpoint year, describes a field that built a filing base over a decade rather than one now in rapid expansion. Treat any 2025–2026 dip as partly a lag artefact, not proof of retreat.

Filing trend, 2017–2026
Claim density
B25J 25 · G05D 24
of 48 total records

Locomotion and control are the crowded layers

The two largest IPC subclasses cover manipulator/robot structure and non-electric control — the mechanical and control-loop layers of a humanoid platform. Navigation-specific classes trail well behind, which is where the claim space is comparatively open.

IPC composition
Influence
53 citations
top-cited record

Citation weight sits with older, foundational filings

The most-cited records in this corpus are earlier filings on humanoid maneuver control and mobile-body control devices. High citation counts here signal foundational influence within the searched set, not that these are the filings most relevant to today's design decisions.

Most-cited records
Concentration
1 strong co-filing pair
Shenzhen University + China State Railway Group Co., Ltd.

Collaboration is rare, not structural

Only one co-assignee pair rises above single-filing frequency, and it links a university to a state rail operator rather than two robotics firms. Cross-assignee collaboration is not yet a defining feature of this landscape.

Co-assignee pairs
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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 humanoid robot slam and navigation, 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 Humanoid Robot SLAM and Navigation covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players

Who is filing, and how fast

No assignee in the recent-momentum table shows positive year-on-year growth in the latest period, and several show declines from a low base — a sign this landscape has not yet consolidated around a clear leader.

Momentum leader (relative)
1 filing, latest year
-83% YoY

Digital Artificial Intelligence Corporation still filing, but slowing

With one filing in the latest tracked year against a prior-year decline of 83%, this assignee remains active but at a fraction of earlier output — worth monitoring rather than treating as a bellwether.

Recent-year momentum
Flat activity
0 filings, latest year
Sony Group Corporation / Tencent Technology (Shenzhen) Company Limited

Large-tech assignees have gone quiet in the latest year

Neither shows filings in the most recent tracked year, though zero does not mean exit — it may reflect the publication lag on 2025–2026 filings rather than a strategic withdrawal.

Recent-year momentum
Sharp decline
-100% YoY
Hexagon Technology Center GmbH

Hexagon's filing pace has dropped to zero

A full year-on-year decline to zero filings, despite holding the representative record in this dataset (WO2024120607A1), suggests the metrology-robotics push may have moved to a different filing cycle or jurisdiction not yet visible in this window.

Recent-year momentum
🔍
Under-claimed sub-areas
Branches with thin IPC coverage relative to the mechanical and control layers — candidates for a first-mover claim rather than a crowded one.
Terrain-classification sensor fusion for bipedal footfall planningReal-time loop closure for legged robots on uneven terrainWheel-leg hybrid locomotion mapping integrationVision-based drift correction for humanoid torso-mounted SLAMAI-assisted terrain-aware path replanning (G06N overlap)
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Recent-year filing momentum by assignee
AssigneeRecent yearYoY
Digital Artificial Intelligence Corporation1-83%
Sony Group Corporation0
Hexagon Technology Center GmbH0-100%
Tencent Technology (Shenzhen) Company Limited0
Hexagon Robotics Limited0
SoftBank Robotics Europe0
Shenzhen University0
Zhejiang University0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Humanoid Robot SLAM and Navigation covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next

Where to take this

The trend and composition data point to specific next steps depending on whether the goal is freedom-to-operate, whitespace filing, or competitive tracking.

Check freedom-to-operate against the top-cited records

The five highest-cited filings in this corpus, led by a humanoid maneuver-control patent at 53 citations, define the prior art baseline that any new mapping or control claim will be measured against.

Run a freedom-to-operate check in Eureka

Test claim language in the under-claimed navigation classes

G01C, G01S and G06T carry far fewer records than B25J or G05D, which is where a narrowly drafted first claim is more likely to clear a clean prior-art search.

Draft and stress-test claims in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Humanoid Robot SLAM and Navigation covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions on this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Humanoid Robot SLAM and Navigation covering 2015–2026, data cut-off 2026-07-31. 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.