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Quadruped Robot Patent Landscape 2026

Quadruped Robot Patent Landscape 2026
Competitive Landscape

Quadruped Robot Patent Landscape in 2026

Boston Dynamics holds the single largest position in a field where the top five filers account for 45% of the hundred largest applicants’ combined total, signaling a highly concentrated competitive core. The field reached peak annual volume in 2021 and has since plateaued, with China emerging as the dominant filing jurisdiction and a growing wave of Chinese technology companies challenging established Japanese and American incumbents.

3,808
Patent families in scope
45%
Top-5 share of top-100 filers
+13%
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

Boston Dynamics leads a concentrated but increasingly contested field

Boston Dynamics holds the top position with 592 patent families, nearly double the second-ranked Sony Group Corporation at 314 patent families. Honda Motor at 221, Tencent Technology at 194, and Toyota Motor at 148 complete a dominant tier that collectively accounts for 45% of the hundred largest filers’ combined total.

The gap between the first tier and the next cluster — Hangzhou Yushu Technology (86 patent families), Beijing Xiaomi Robot Tech (76), and UBTECH Robotics (69) — is substantial, indicating a two-tier structure where incumbents carry deep legacy portfolios and challengers are building rapidly from smaller bases.

Leading applicants
#ApplicantPatent familiesShare
1Boston Dynamics Inc592
2Sony Group Corporation314
3Honda Motor Co Ltd221
4Tencent Technology (Shenzhen) Co Ltd194
5Toyota Motor Corporation148
6Hangzhou Yushu Technology Co Ltd86
7Beijing Xiaomi Robot Technology Co Ltd76
8UBTECH Robotics Corp Ltd69
9Shandong University68
10Hangzhou Yunshenchu Technology Co Ltd66
#ApplicantPatent familiesShare
11Beijing Institute of Technology58
12ANYbotics AG53
13Ghost Robotics Corporation48
14Intrinsic Innovation LLC40
15Zhejiang University40
16Google LLC39
17INRIA (Institut National de Recherche en Informatique et en Automatique)37
18Tomahawk Robotics Inc37
19Harbin Institute of Technology32
20SoftBank Robotics Europe31
↗ Hover a row · click a company to ask Eureka

Boston Dynamics’ and Honda’s entrenched positions in legged locomotion and manipulator mechanics suggest high barriers in core kinematic IP, while Tencent’s aggressive recent trajectory (4.0× its prior three-year rate) signals that software-oriented players are actively repositioning in the control and autonomy layer.

Filing counts for 2024 and 2025 should be treated as under-counts given standard patent publication lags; apparent softness in those years reflects incomplete data rather than a confirmed structural decline. 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

Annual volume plateaued near 2021 peak; locomotion and manipulation dominate the technology mix

The filing trend and technology composition together reveal a field that expanded sharply through 2019–2021 and has since settled into a mature plateau, while the IPC branch mix shows that core mechanical and locomotion patents still vastly outnumber software and sensing work.

Annual filing trend

Filings climbed from 205 in 2017 to a peak of 583 in 2021 before easing to a plateau around 539–556 in 2022–2023. Values for 2024 and 2025 are suppressed by publication lag and should not be read as a structural decline. The multi-year window still shows positive growth, but annual volume has not exceeded the 2021 peak.

Annual filing trendAnnual values from 2017 to 2026, peaking at 583 in 2021.205201724720184142019353202058320215562022539202343720244112025632026↗ Hover for values · click a bar to ask Eureka

Technology composition

B25J (Manipulators and robots) and B62D (Vehicles and legged-robot locomotion) are by far the largest branches, reflecting the mechanical and kinematic core of the field. G05D (Control of non-electric variables) is the third most active branch, while AI-model computing (G06N), digital data processing (G06F), and navigation (G01C) remain comparatively sparse — indicating that the software and sensing layers are still being built out relative to the hardware foundation.

Technology compositionB25J · Manipulators & robots leads with 2,884; B62D · Vehicles & legged-robot locomotion 2,695.B25J · Manipulators & ro…2,884B62D · Vehicles & legged…2,695G05D · Control of non-el…1,115G05B · Control & regulat…246G06F · Electric digital …245G06N · Computing based o…232G01C · Distance, navigat…124G06T · Image data proces…109↗ 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
EP4400930A1Published 2024-07-17

BEWEGUNGSSTEUERUNGSVERFAHREN UND -VORRICHTUNG FÜR …

Tencent Technology (Shenzhen) Company Limited

The present disclosure discloses a motion control method and apparatus for a legged robot, a legged robot, a computer-readable storage medium, and a computer program product. The legged robot includes at least two foot-ends. The method includes: receiving a bound instruction for the legged robot when the foot-ends of the legged robot stand in unit regions… (excerpt from the patent abstract)

BEWEGUNGSSTEUERUNGSVERFAHREN UND -VORRICHTUNG FÜR … — patent drawingBEWEGUNGSSTEUERUNGSVERFAHREN UND -VORRICHTUNG FÜR … — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Robot and attitude control method of robot295
2Distributed control and coordination of autonomous…294
3In-Line Legged Robot Vehicle and Method for Operat…292
4Mobile robot location determination employing erro…219
5Legged mobile robot and a system for controlling t…208
6Robot moving on legs and control method therefor, …205
7Locomotion control system for legged mobile robot204
8Authoring system and authoring method, and storage…189

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 strategy

The combination of a concentrated leader tier, a plateauing filing rate, and thin coverage in software-adjacent branches shapes where incremental and disruptive investment will have the most effect.

Maturity

Field has plateaued near its 2021 peak

Annual filings peaked at 583 in 2021 and have since plateaued rather than continued climbing, marking the field as mature in its core mechanical domains. New entrants face a dense prior-art landscape in locomotion and manipulator mechanics. The most productive R&D bets are likely in adjacent software, sensing, and control branches where prior art is sparser.

Maturity stage
Concentration

Two-tier structure with a wide leader gap

The top five filers hold 45% of the hundred largest filers’ combined total, and Boston Dynamics alone accounts for 592 patent families — nearly double the second-ranked player. The second tier (Hangzhou Yushu, Xiaomi, UBTECH) is growing but still well behind in portfolio depth. Teams entering now should expect freedom-to-operate constraints in core kinematics and plan accordingly.

High concentration
Collaboration

Sony and Toyota lead co-filing activity; academia is an active partner

The most active co-filing pair is Sony Group Corporation with ATR (Advanced Telecommunications Research Institute International) at 11 joint patents, followed by Toyota Motor Corporation with Toyota Central R&D Labs at 10. Toyota also co-files with the University of Tokyo (4 joint patents), and Sony collaborates with Alps Alpine and the Japan Science and Technology Agency. These patterns show that Japanese incumbents are using cross-institutional collaboration to extend their technical reach in proprioception and control research.

Japan-led co-filing
Geography

China dominates filings; US and Europe are secondary but strategically important

China accounts for the largest share of patent records, followed by the United States and Europe (EPO). WIPO (PCT) filings indicate applicants seeking multi-jurisdiction coverage. Japan and Germany round out the top five jurisdictions. Teams building global freedom-to-operate must cover China and the US as priority markets, with EPO and PCT as the next tier.

China-first geography
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Top collaboration links
ApplicantCollaboratorCo-filings
Sony Group CorporationATR Advanced Telecommunications Research Institute International11
Toyota Motor CorporationToyota Central R&D Labs Inc10
Toyota Motor CorporationUniversity of Tokyo4
Sony Group CorporationAlps Alpine Co Ltd2
Sony Group CorporationJapan Science and Technology Agency2
Sony Group CorporationYamaguchi Jinichi2
Toyota Motor CorporationHasegawa Yasuhisa2
Toyota Motor CorporationFukuda Toshio2
Boston Dynamics IncSony Group Corporation1
Shandong UniversitySuzhou Fenghuo Power Technology Co Ltd1

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

Source: PatSnap Eureka. Collaboration counts reflect co-applicant pairs on shared patent records.Explore insights →
Leaders

Boston Dynamics anchors the field; Tencent is the fastest-moving challenger

The leader and top challenger differ sharply in technology emphasis and trajectory: Boston Dynamics is a deep mechanical incumbent with a stable rate, while Tencent has accelerated aggressively into locomotion control from a software foundation.

Leader · Boston Dynamics

Boston Dynamics Inc

Boston Dynamics leads with 592 patent families concentrated in manipulator and robot mechanics (B25J 9, 366 records), legged and walking robot locomotion (B62D 57, 261 records), and autonomous control (G05D 1, 176 records). Its recent three-year filing rate is essentially flat (approximately -5% vs. the prior period), suggesting portfolio consolidation rather than expansion. Its depth in core locomotion IP creates high barriers for new entrants in the kinematic layer.

families: 592
Challenger · Tencent Technology

Tencent Technology (Shenzhen) Co Ltd

Tencent ranks fourth overall with 194 patent families but is the standout momentum player, filing at 4.0× its prior three-year rate in the most recent period. Its focus is skewed toward legged locomotion control (B62D 57, 104 records) and autonomous control systems (G05D 1, 89 records), reflecting a software-first entry strategy. This trajectory positions Tencent as the most disruptive near-term threat to established players in the control and AI layer.

families: 194
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Sony Group CorporationHonda Motor Co Ltd+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Boston Dynamics Inc204▬ -5%
Sony Group Corporation22▼ -53%
Honda Motor Co Ltd2▲ new entrant
Tencent Technology (Shenzhen) Co Ltd145▲ 4.0× vs prior 3-yr
Google LLC3▼ -89%
Unitree Robotics Co Ltd22▼ -60%
UBTECH Robotics Corp Ltd33▼ -8%
Shandong University22▬ +5%
Source: PatSnap Eureka. Patent family counts reflect each applicant’s unique first-filed family portfolio.Explore players →
Adjacent Branches

Under-served branches in AI, digital processing, and navigation

Relative to the dominant mechanical branches, several technically adjacent IPC classes show lower patent density despite clear relevance to next-generation quadruped capabilities — particularly in autonomous decision-making, onboard computing, and localization.

G06N · Computing based on AI models

With 232 patent records against a corpus of 3,808 patent families, AI-model computing is sparse relative to its importance for learned locomotion policies and sim-to-real transfer. Reinforcement learning and neural-network-based gait control are active research areas but remain comparatively thin in the patent record. Teams with strengths in machine learning applied to robot control have a plausible entry path here before the branch densifies.

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G01C · Distance, navigation & gyroscopes

Navigation and localization (G01C) appears in only 124 patent records, making it one of the thinner branches despite being foundational to autonomous quadruped deployment in unstructured environments. Combined with the similarly sparse G06T (image data processing, 109 records), the perception-and-navigation stack is an under-served area where integrated sensor-fusion and SLAM approaches for legged robots represent a technically coherent and realistic filing opportunity.

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G05B · Control & regulating systemsG06F · Electric digital data processing+ more
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Source: PatSnap Eureka. Branch share figures are computed against the total patent-record count in the corpus.Explore emerging →
Route Matrix

How leaders differ across technology routes

Strength of each leader across the main technology routes.

PlayerB62D 57 · Legged & walking robotsB25J 9 · Manipulators & robotsG05D 1 · Control of non-electric variablesB25J 5 · Manipulators & robotsB25J 13 · Manipulators & robots
Boston Dynamics IncStrong · 261Strong · 366Moderate · 176Emerging · 37Emerging · 55
Sony Group CorporationStrong · 105Strong · 146Moderate · 58Strong · 155Strong · 133
Honda Motor Co LtdStrong · 123Moderate · 49Emerging · 21Strong · 146Strong · 76
Tencent Technology (Shenzhen) Co LtdStrong · 104Strong · 73Strong · 89Emerging · 15Emerging · 19
Toyota Motor CorporationModerate · 58AbsentAbsentStrong · 120Strong · 73
Google LLCStrong · 52Strong · 91Moderate · 19AbsentAbsent
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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