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Humanoid Robots Patent Landscape 2026

Humanoid Robots Patent Landscape 2026
Competitive Landscape

Humanoid Robots Patent Landscape in 2026

The humanoid robot field is in an active growth stage, with 8,105 patent families on record and a 19% gain over the recent window — a corpus still expanding as publication lag understates the most recent years. Sony Group and Honda Motor hold the top two positions in a moderately concentrated field where the five largest filers account for 39% of the hundred largest filers’ combined output.

8,105
Patent families in scope
39%
Top-5 share of top-100 filers
+19%
3-yr filing growth (lag-adj.)
China
Leading jurisdiction
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Published byPatSnap Insights Team··7 min readVerified by PatSnap Eureka data
Overview

Sony and Honda lead a two-tier field with a clear gap to challengers

Sony Group Corp and Honda Motor Co Ltd occupy the top two positions with 826 and 807 patent families respectively, separated by fewer than 20 families — making the leadership effectively co-dominant. Boston Dynamics (595) and SoftBank Robotics. Europe (508) form a second tier, with UBTECH Robotics (333) anchoring a third.

The top five filers together hold 39% of the hundred largest filers’ combined total, indicating moderate concentration: no single entity commands an overwhelming share, yet the gap between tier one and the broader field is substantial enough to create meaningful barriers to catch-up on volume alone.

Leading applicants
#ApplicantPatent familiesShare
1Sony Group Corporation826
2Honda Motor Co., Ltd.807
3Boston Dynamics, Inc.595
4SoftBank Robotics Europe508
5UBTECH Robotics Corp Ltd333
6Sanctuary Cognitive Systems Corp229
7Toyota Motor Corporation225
8Samsung Electronics Co., Ltd.186
9Beijing Institute of Technology152
10Tencent Technology (Shenzhen) Co., Ltd.146
#ApplicantPatent familiesShare
11Aldebaran Robotics SA117
12Shanghai Fourier Intelligence Co., Ltd.109
13Hangzhou Yushu Technology Co., Ltd.94
14Zhejiang University94
15Sarcos Corp94
16Beijing Xiaomi Robot Technology Co., Ltd.92
17Harbin Institute of Technology92
18Tsinghua University88
19Kawasaki Heavy Industries, Ltd.86
20Shenzhen Zhuji Power Technology Co., Ltd.85
↗ Hover a row · click a company to ask Eureka

The near-parity between Sony and Honda at the top suggests two distinct strategic paths — Sony emphasising manipulation and sensor-heavy robotics, Honda carrying deep walking-robot heritage — coexist at the frontier. New entrants such as Sanctuary Cognitive Systems and Beijing Xiaomi Robot Tech signal that the competitive set is still forming.

Filings from 2025 and 2026 are materially under-counted due to standard patent publication lag and should not be read as reflecting true recent activity levels. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: PatSnap Eureka. Chart shows the top applicants ranked by patent families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope.Explore deeper in Eureka →
Trends & Structure

Sustained growth with manipulator mechanics at the core and AI control emerging at the margin

The annual filing trend and the IPC technology composition together reveal a field that is broadening in scope while remaining anchored in mechanical foundations. The trend chart tracks annual filing volumes; the composition chart shows how patent activity distributes across technology branches.

Annual filing trend

Annual filings rose from 602 in 2017 to 921 in 2023, with a marked step-up to 1,122 in 2024. The 2025 and 2026 bars are severely truncated by publication lag and should not be treated as evidence of slowing; the lifecycle evidence confirms the field remains in a growth stage. The 19% recent-window growth figure reinforces this read.

Annual filing trendAnnual values from 2017 to 2026, peaking at 1,373 in 2025.60220176282018900201969820208302021852202292120231,12220241,37320251792026↗ Hover for values · click a bar to ask Eureka

Technology composition

B25J (Manipulators and robots) is by far the dominant IPC class, reflecting the primacy of mechanical arm and body structure patents. B62D (legged-robot locomotion) is a strong second, consistent with bipedal walking as a defining challenge. Smaller but notable branches — G06N (AI models), G05D (autonomous control), and G05B (regulating systems) — show the field beginning to absorb machine-learning and software-defined control methods, though these remain well behind the mechanical core.

Technology compositionB25J · Manipulators & robots leads with 10,397; B62D · Vehicles & legged-robot locomotion 4,499.B25J · Manipulators & ro…10,397B62D · Vehicles & legged…4,499G05D · Control of non-el…890G06F · Electric digital …788G05B · Control & regulat…659G06N · Computing based o…609A63H · Toys507G06T · Image data proces…287↗ Hover for values · click a bar to ask Eureka
Source: PatSnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US9044859B2Published 2015-06-02

Method for gait generation and tracking control fo…

Disney ENTERPRISES, INC.

A control method that executes a numerical non-linear optimization procedure with forward simulation of the full dynamics of the bipedal robot (including ground collisions) to compute a foothold, which produces the desired center of mass velocity during the next step of the walking cycle. The controller includes a gait generator that outputs desired joint… (excerpt from the patent abstract)

Method for gait generation and tracking control fo… — patent drawingMethod for gait generation and tracking control fo… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Obstacle recognition method for autonomous robots728
2Charging system for mobile robot, method for searc…647
3Robot remote-control system and software distribut…447
4Methods and systems for food preparation in a robo…446
5Obstacle recognition method for autonomous robots444
6Robotic manipulation methods and systems for execu…444
7Interactive systems employing robotic companions417
8Systems and methods for operating a robotic system…365

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: PatSnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Insights

What the competitive structure means for R&D investment decisions

Four structural dimensions — lifecycle stage, concentration, collaboration patterns, and geography — each carry distinct implications for teams deciding where to allocate IP effort.

Growth

Growth stage: rising volume, mechanical core established

The lifecycle evidence places humanoid robots firmly in the Growth stage, with annual filings still rising and the multi-year corpus up 19%. The mechanical-manipulation and legged-locomotion branches are mature enough that incremental patents face high prior-art density; differentiation increasingly requires novel combinations with AI control, perception, or actuation subsystems. Teams entering now need a clear sub-domain thesis rather than a broad mechanical platform play.

Growth stage
Concentration

Moderate concentration with an open mid-field

The top five filers account for 39% of the hundred largest filers’ combined output, and the leadership is split almost evenly between Sony and Honda. Below the top tier, the gap to rank-five (UBTECH, 333 families) and beyond is large enough that a focused entrant in a specific sub-domain — say, dexterous manipulation or AI-driven locomotion control — could establish a credible position without matching the leaders’ absolute volume. The mid-field (ranks 6–20) is diverse and includes both corporates and universities.

Moderate concentration
Collaboration

Industry-academic partnerships concentrated around Sony and SoftBank

The most active co-filing pair is Sony Group Corp with individual inventor Jinichi Yamaguchi (70 joint families), reflecting Sony’s deep individual-expert model. SoftBank Robotics Europe co-files extensively with INRIA (44 families) and CNRS (14 families), embedding French public-research IP into a commercial platform. Toyota Motor co-files with Toyota Central R&D Labs (14 families) and the University of Tokyo (4 families). Honda collaborates with Tokyo Institute of Technology (6 families) and the University of Tokyo (4 families). These partnerships signal that access to elite academic robotics groups is a recurring competitive lever.

Industry-academic
Geography

China leads filings; US is the primary validation market

China accounts for the largest share of patent records filed in this space, with the United States second and Europe (EPO) third. Japan and South Korea follow. This distribution reflects both China’s aggressive domestic filing strategy and the US’s role as a key commercialisation and enforcement jurisdiction. Teams seeking global freedom-to-operate should treat the China, US, and EPO offices as the minimum coverage set; Germany and South Korea represent secondary validation markets worth monitoring.

China · US · EPO
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Top collaboration links
ApplicantCollaboratorCo-filings
Sony Group CorporationJinichi Yamaguchi70
SoftBank Robotics EuropeINRIA (French National Institute for Research in Digital Science and Technology)44
Sony Group CorporationATR International (Advanced Telecommunications Research Institute International)14
SoftBank Robotics EuropeCNRS (French National Centre for Scientific Research)14
Toyota Motor CorporationToyota Central R&D Labs, Inc.14
Aldebaran Robotics SAINRIA (French National Institute for Research in Digital Science and Technology)12
Honda Motor Co., Ltd.Tokyo Institute of Technology6
Honda Motor Co., Ltd.The University of Tokyo4
Toyota Motor CorporationThe University of Tokyo4
Sony Group CorporationSony Electronics Inc.3

Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: PatSnap Eureka. Collaboration counts are co-applicant patent family pairs; jurisdiction counts are at the patent-record level.Explore insights →
Leaders

Sony and Honda co-lead; Boston Dynamics and Sanctuary show the strongest recent momentum

The top two applicants are separated by fewer than 20 patent families, yet their technical emphasis differs meaningfully. Below them, Boston Dynamics and Sanctuary Cognitive Systems are the momentum stories of the recent filing window.

Leader · Sony Group Corp

Sony Group Corp

Sony leads with 826 patent families, concentrated heavily in B25J manipulator and robot mechanics across multiple sub-classes (B25J5, B25J13, B25J9). Despite its cumulative scale, Sony’s recent three-year filing trend is down 73% from its prior period — suggesting a strategic consolidation or portfolio optimisation phase rather than continued volume expansion. The close co-filing relationship with individual expert Jinichi Yamaguchi (70 joint families) is a distinctive structural feature of Sony’s IP model.

families: 826
Challenger · Boston Dynamics Inc

Boston Dynamics Inc

Boston Dynamics ranks third with 595 patent families and is the strongest momentum story among established players, with recent filings up 12% versus its prior three-year period. Its technology emphasis spans B25J9 (robot configuration), B62D57 (legged and walking robots), and G05D1 (autonomous motion control) — a profile that uniquely bridges mechanical structure with software-defined autonomy. Sanctuary Cognitive Systems, entering as a new entrant with 229 families and 197 recent-window families, is the fastest-rising challenger in the field.

families: 595
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UBTECH Robotics Corp LtdSanctuary Cognitive Systems Corp+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Sony Group Corporation25▼ -73%
Honda Motor Co., Ltd.38▲ +52%
Boston Dynamics, Inc.217▲ +12%
UBTECH Robotics Corp Ltd113▼ -36%
Sanctuary Cognitive Systems Corp197▲ new entrant
Toyota Motor Corporation9▼ -31%
Samsung Electronics Co., Ltd.1▲ new entrant
Google LLC31▼ -16%
Source: PatSnap Eureka. Rankings are by patent family count; momentum compares the applicant’s most recent three-year filing period against the prior three-year period.Explore players →
Adjacent Branches

AI control and digital data processing are under-served relative to the mechanical core

The IPC branches below identify technology areas that are adjacent to the dominant manipulator and locomotion classes but carry disproportionately fewer patent records. These are observations of relative sparsity; technical and commercial value must be assessed independently before treating them as entry points.

G06N · AI models applied to humanoid control

G06N (Computing based on AI models) accounts for 609 patent records — roughly 6% of the B25J volume — despite the well-documented centrality of machine learning to next-generation humanoid behaviour. The sparsity is plausible given that many AI methods are filed as software patents under G06F rather than G06N, but the gap still indicates that explicit AI-model claims tied to humanoid embodiment remain relatively open. Teams with strengths in reinforcement learning for dexterous manipulation or whole-body motion planning could find less prior-art congestion here than in the mechanical branches. Entry paths include filing on training pipelines, sim-to-real transfer methods, and learned locomotion policies specific to bipedal or humanoid form factors.

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G05B · Control and regulating systems for humanoid platforms

G05B (Control and regulating systems) shows 659 patent records against a B25J base of over 10,000, a ratio that points to under-representation of closed-loop control architectures explicitly scoped to humanoid robots. Physical therapy and rehabilitation adjacencies (A61H, 152 records) and force/pressure measurement (G01L, 130 records) sit nearby and are similarly sparse. A team working on impedance control, compliant joint regulation, or safe human-robot interaction control laws could address a genuine technical gap while occupying IP space that the volume leaders have not densely covered. The G05B branch also intersects naturally with industrial safety standards — a regulatory-driven entry path.

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G05D · Autonomous motion controlF16H · Gearing and transmissions for humanoid joints+ more
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Source: PatSnap Eureka. Branch counts are at the patent-record level; share figures are relative to the top-100 filer corpus, not total families.Explore emerging →
Route Matrix

Leaders diverge on locomotion versus manipulation emphasis and AI integration

Strength of each leader across the main technology routes.

PlayerB25J 9 · Manipulators & robotsB62D 57 · Legged & walking robotsB25J 19 · Manipulators & robotsB25J 13 · Manipulators & robotsB25J 5 · Manipulators & robots
Sony Group CorporationModerate · 267Moderate · 195Moderate · 163Strong · 458Strong · 558
Honda Motor Co., Ltd.Moderate · 209Strong · 355Moderate · 188Strong · 317Strong · 448
Boston Dynamics, Inc.Strong · 429Strong · 263Emerging · 64Emerging · 65Emerging · 48
UBTECH Robotics Corp LtdStrong · 240Strong · 144Emerging · 37Moderate · 74Absent
SoftBank Robotics EuropeStrong · 232AbsentStrong · 138AbsentModerate · 54
Toyota Motor CorporationAbsentModerate · 61AbsentStrong · 84Strong · 149
Sanctuary Cognitive Systems CorpStrong · 187AbsentModerate · 51Moderate · 42Absent
Source: PatSnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
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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.

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