https://www.patsnap.com/resources/blog/rd-blog/quadruped-robot-motion-planning-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Robotics & Automation · Patent Landscape
Quadruped Robot Motion Planning Patents: Where Gait-Planning Claims Concentrate
  • Filing has plateaued, not grown. activity peaked at 9 families in 2023 after 7 in 2022, with no sign of renewed acceleration in the years since.
  • Two IPC subclasses hold half the field. B25J and B62D each carry 23 of 42 families, while application-specific classes like veterinary, sports and navigation sit at just 2 records apiece.
  • China dominates the filing map. 24 of 42 families were filed there, more than double the United States at 10, making it the jurisdiction where prior art is thickest.
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42
Published Records
38%
Top-5 Share of All Records
-33%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth compares 2021 (3 records) with 2024 (2) — 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 42 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 42 patent families published between 2015 and the 2026 data cut-off, drawn from filings that combine quadruped, quadrupedal or legged robot terminology with gait planning, trajectory optimization, dynamic locomotion planning or foothold planning language, classified under B62D57/032, B25J9/16 or G05D1/02. Filing activity is concentrated in a handful of years rather than spread evenly, and classification sits overwhelmingly in two mechanical and control subclasses rather than in application-specific ones.

Because patent families neutralise duplicate continuation and multi-jurisdiction filings, the 42-family count is a fairer measure of distinct inventions than a raw document count would be. Readers should treat the most recent year in any trend as understated, since publication typically lags filing by around 18 months.

Filing trend and IPC composition, 2017–2026
  1. 1UBTECH ROBOTICS CORP LTD6
  2. 2BEIJING XIAOMI ROBOT TECH CO LTD3
  3. 3TENCENT TECHNOLOGY (SHENZHEN) CO LTD3
  4. 4TSINGHUA SHENZHEN INTERNATIONAL GRADUATE SCHOOL2
  5. 5BEIJING INST OF TECH2
  6. 6PATEL VINAY2
  7. 7PATEL PAWAN2
  8. 8ZHEJIANG UNIV2
  9. 9PRAJAPATI JAY2
  10. 10THAKKAR MANAV2
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Quadruped Robot Motion Planning 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
The Numbers

Filing trend and technology composition

Forty-two families span an eleven-year window, with filing activity concentrated in a five-year band rather than spread evenly across the period. The composition below shows where the claim density actually sits.

Filing activity has plateaued since 2022

Filings rose from a single family in 2017 to a peak of 9 in 2023, with 2022 already at 7 — a flat-to-declining pattern rather than sustained growth, and the most recent year is necessarily undercounted because publication lags filing by roughly 18 months.

Filing activity has plateaued since 20220358101201720182019202020212022920232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

Claim density sits in two subclasses

B25J (manipulators and robots) and B62D (motor vehicles and steering, covering legged-vehicle mechanics) each carry 23 of the 42 records, with G05D (non-electric variable control, covering trajectory and motion control logic) at 10. The remaining subclasses — spanning animal husbandry, medical/veterinary devices, sports equipment and navigation — carry only 2 records each, marking them as peripheral rather than core claim territory.

Claim density sits in two subclassesB25J · Manipulators & robots2354.8%B62D · Motor vehicles & steering2354.8%G05D · Control of non-electric variab…1023.8%A01K · Animal husbandry & fishing24.8%A61B · Diagnosis & surgery24.8%A61D · Veterinary instruments24.8%A63B · Sports & gymnastics equipment24.8%G01C · Distance, navigation & gyrosco…24.8%Other1126.2%

Shares are the percentage of the 42 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 Quadruped Robot Motion Planning 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

The documents anchoring this claim space

Representative Recent Grant
EP4321417B12026-07-01

EP4321417B1 — Movement control method and legged robot

BEIJING XIAOMI ROBOT TECHNOLOGY CO., LTD.

Granted to Beijing Xiaomi Robot Technology on 2026-07-01, this record sits at the data cut-off and its title (rendered in German in the source record) points to a motion control method for a legged robot. Its scope and how it reads across leg-count variants can only be confirmed from the granted claim set.Filed near the edge of the coverage window; treat filing-to-grant timing as illustrative of pipeline lag, not of accelerating quadruped-specific investment.

EP4321417B1 — patent drawing 1EP4321417B1 — patent drawing 2
View full record
Most-cited records in the dataset
#Publication no.Patent titleCitations
1CN110842921A四足机器人大坡度地形或高障碍物攀爬跨越的步态规划方法39
2CN114442621A一种基于四足机器人的自主探索和建图系统33
3CN111208826A四足机器人溜蹄步态规划方法、装置、设备及可读介质29
4CN111766885A一种四足机器人的静步态规划方法24
5WO2017181976A1提高六足机器人行走稳定性的步态规划方法23
6CN110764415A一种四足机器人腿部运动的步态规划方法19
7CN112650222A一种多足机器人的跳跃步态规划方法14
8CN104986241A四足机器人及其步态规划方法14
9CN108897318A液压四足机器人动力机构负载匹配方法11
10US20250018560A1Learning robust legged robot locomotion with implicit terrain imagination via deep reinforcement learning8

Ranked by citation count within the searched corpus; older filings are structurally favoured.

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 Quadruped Robot Motion Planning 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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Signal Check

What the citation and filing data actually shows

Three patterns stand out once the 42 families are read against their citation counts, filing dates and IPC classification, and each has a direct bearing on where to file next.

Citation concentration
39 citations
top-cited record

A small number of gait-planning documents anchor the field

The most-cited record in this dataset, a slope and high-obstacle terrain gait-planning method, carries 39 citations — well ahead of the next tier. That concentration means a handful of terrain-adaptive gait documents function as the reference art that later filers must distinguish from.

Citation counts favour older filings; read as influence, not current relevance.
Filing plateau
9 in 2023
peak year

Growth flattened before it could compound

Filings climbed from a single family in 2017 to a peak of 9 in 2023, but 2022 was already at 7 — meaning most of the growth had already happened a year earlier. There is no multi-year acceleration pattern in the underlying trend.

Most recent year is understated; publication lags filing by roughly 18 months.
Classification split
23 vs 23
B25J and B62D

Core claim territory is mechanical, not application-specific

B25J and B62D each hold 23 of the 42 families, while every application-tied subclass — veterinary, medical, sports, navigation — sits at only 2. Gait and foothold logic has been claimed almost entirely as a general mechanical and control problem.

Peripheral subclasses each carry only 2 of 42 records.
Eureka AI Agent
Looking for what nobody has claimed yet?

Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to quadruped robot motion planning, 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 Quadruped Robot Motion Planning 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 & Momentum

Who is filing, and where the field is thinning out

Ranking by family count shows a familiar shape for a still-consolidating field: several large robotics and university filers at the top, but every one of them tracked for recent-year momentum shows zero filings in the latest year — including a full year-on-year drop for at least one major university filer. That flatness across the leaderboard, not just at the edges, is itself a finding.

Concentration
24 of 42
filed in China

China is the primary filing venue

With 24 of 42 families filed at the Chinese patent office against 10 in the United States, 4 at the EPO, 3 in India and 1 via WIPO/PCT, prior art search and freedom-to-operate work for this field has to prioritise Chinese-language filings.

Receiving office split: CN 24, US 10, EP 4, IN 3, WO 1.
Momentum
0 in latest year
across tracked assignees

No assignee is currently accelerating

Every major assignee tracked for recent-year momentum in this dataset — spanning large robotics firms and university labs — recorded zero filings in the latest year, with one university showing a full -100% year-on-year drop.

Flat momentum across the leaderboard, not isolated to one filer.
Co-filing
10 pairs
co-assignee pairs identified

Collaboration is limited and academic

Ten co-assignee pairs appear in the dataset, with the strongest repeated pairings involving individual academic co-inventors rather than corporate joint-filing programs, suggesting collaboration here is still lab-driven rather than industrial.

Strongest pairs repeat at 2 shared filings each.
🔍
Under-claimed sub-areas worth a closer look
IPC subclasses with only 2 records each point to application contexts that have barely been claimed against core gait-planning logic.
Veterinary mobility-aid foothold planningRehabilitation-assist gait adaptationSports-terrain gait simulation claimsInertial-navigation-fused foothold correctionPayload-conditioned trajectory optimization
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Recent-year filing momentum by assignee
AssigneeRecent yearYoY
UBTECH Robotics Corp Ltd0
Tencent Technology (Shenzhen) Co., Ltd.0
Beijing Xiaomi Robot Technology Co., Ltd.0
Tsinghua Shenzhen International Graduate School0
Zhejiang University0-100%
Shandong University0
Beijing Institute of Technology0-100%
PROF (DR) VINAY PATEL0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Quadruped Robot Motion Planning 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

Turning this landscape into a filing or freedom-to-operate decision

The trend and classification data point to where claim space is dense and where it is thin; the next step is reading the actual claim language behind the top-cited records and the peripheral subclasses.

Pull the granted claims behind the top-cited records

Citation count shows influence, not scope. Reading the independent claims of the highest-cited gait-planning documents shows exactly how narrowly or broadly terrain-adaptive foothold planning has been claimed.

Open the top-cited set in Eureka

Check the peripheral IPC subclasses for open claim space

Veterinary, medical, sports and navigation-adjacent classes each carry only 2 records. A targeted search inside those subclasses will confirm how much room remains before drafting a new claim there.

Explore white space in Eureka

Track assignee momentum before committing filing budget

Every major tracked assignee shows zero filings in the latest year. Confirming whether that reflects a genuine pause or a publication-lag artefact matters before deciding how aggressively to file or oppose.

Monitor assignee activity in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Quadruped Robot Motion Planning 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 quadruped robot motion planning patents

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