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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →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.
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.
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.
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.
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.
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%.
This page is one run against one query. Ask Eureka your own question about quadruped robot motion planning and every answer comes back with the patent numbers behind it.
Try EurekaGranted 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.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | CN110842921A | 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 |
| 2 | CN114442621A | 一种基于四足机器人的自主探索和建图系统 | 33 |
| 3 | CN111208826A | 四足机器人溜蹄步态规划方法、装置、设备及可读介质 | 29 |
| 4 | CN111766885A | 一种四足机器人的静步态规划方法 | 24 |
| 5 | WO2017181976A1 | 提高六足机器人行走稳定性的步态规划方法 | 23 |
| 6 | CN110764415A | 一种四足机器人腿部运动的步态规划方法 | 19 |
| 7 | CN112650222A | 一种多足机器人的跳跃步态规划方法 | 14 |
| 8 | CN104986241A | 四足机器人及其步态规划方法 | 14 |
| 9 | CN108897318A | 液压四足机器人动力机构负载匹配方法 | 11 |
| 10 | US20250018560A1 | Learning robust legged robot locomotion with implicit terrain imagination via deep reinforcement learning | 8 |
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.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →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.
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.
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.
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.
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.
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.
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.
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.
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.
| Assignee | Recent year | YoY |
|---|---|---|
| UBTECH Robotics Corp Ltd | 0 | — |
| Tencent Technology (Shenzhen) Co., Ltd. | 0 | — |
| Beijing Xiaomi Robot Technology Co., Ltd. | 0 | — |
| Tsinghua Shenzhen International Graduate School | 0 | — |
| Zhejiang University | 0 | -100% |
| Shandong University | 0 | — |
| Beijing Institute of Technology | 0 | -100% |
| PROF (DR) VINAY PATEL | 0 | — |
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.
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 EurekaVeterinary, 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 EurekaEvery 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 EurekaBased on citation counts within this dataset, the most influential documents are Chinese filings addressing slope and obstacle-crossing gait planning and trot-gait planning methods, with citation counts as high as 39 and 29 respectively. High citation counts inside a searched corpus tend to favour older records simply because they have had more time to be cited, so treat this as a signal of influence on subsequent filings rather than a statement about which technology is currently most advanced. Recent-year filing momentum for the largest tracked assignees is flat, meaning no single holder is currently expanding this core claim territory aggressively.
Filing activity in this 42-family dataset peaked in 2023 at 9 families, after climbing from a single filing in 2017, and the 2022 count of 7 shows the growth had already flattened before the peak. That makes the trend flat-to-declining over the last several full years of data rather than accelerating. Because publication typically lags filing by around 18 months, the most recent year in any such trend will always look artificially low, so a single down year at the edge of the window should not be read as a definitive slowdown.
The core claim territory sits in B25J (manipulators and robots generally) and B62D (motor vehicles and steering, which also covers legged locomotion mechanics), each with 23 of the 42 records, alongside G05D (control of non-electric variables, covering trajectory and motion logic) at 10. Peripheral classes — A01K, A61B, A61D, A63B and G01C — each carry only 2 records, indicating gait and foothold planning has been claimed mostly as a mechanical and control problem rather than tied to specific application domains like veterinary or sports use. Anyone drafting new claims should check both B25J and B62D since the same invention often gets classified across either depending on how it is framed.
China is the dominant receiving office in this dataset with 24 records, well ahead of the United States at 10, the EPO at 4, India at 3 and WIPO/PCT at 1. That concentration reflects where the bulk of gait-planning and trajectory-optimization filing activity has actually occurred, and it means a freedom-to-operate search focused only on US or EPO filings would miss most of the relevant prior art. Filers targeting global protection should expect the densest prior art landscape in Chinese-language filings and plan translation and search resources accordingly.
The peripheral IPC subclasses — animal husbandry (A01K), medical and veterinary devices (A61B, A61D), sports equipment (A63B) and navigation (G01C) — each show only 2 records against 23 in the core mechanical classes, suggesting gait and foothold planning tied to specific application contexts like rehabilitation, veterinary mobility, or sports training is comparatively open. This does not mean the technology is unproven, only that claim space there is thin relative to the dense core art on terrain-adaptive gait planning. A claim combining core foothold logic with one of these peripheral use-contexts is more likely to clear examination than another general terrain-adaptive gait claim.
Go past this page: query the whole quadruped robot motion planning corpus yourself, in your own scope.
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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.