https://www.patsnap.com/resources/blog/rd-blog/mobile-manipulator-motion-planning-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Robotics & Automation · Patent Landscape
Mobile Manipulator Motion Planning Patents: Who Is Filing and Where the Claim Space Is Still Open
  • Flat, not growing. Filings peaked at 4 in 2019 and sat at 4 again by the 2022 midpoint, with no clear upward trend since — this is a technology being consolidated, not one still expanding.
  • China dominates the filing base. 10 of the 19 published records route through the China receiving office, against 6 for the United States and single-digit counts elsewhere, so freedom-to-operate work should start there.
  • No dominant assignee, no real alliances. Only two co-assignee pairs exist across 19 families, and every tracked assignee shows zero filings in the latest year — ownership is fragmented and momentum has stalled everywhere at once.
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19
Published Records
58%
Top-5 Share of All Records
CN
Leading Jurisdiction
15
Active Filers Ranked
Published byPatsnap Research··8 min readSourced from Patsnap Eureka
Field Overview

What this patent set actually covers

This landscape tracks patent families at the intersection of mobile robot bases and manipulator arms, filtered specifically to whole-body or coupled base-arm motion planning rather than mobile robotics or robotic arms in general. The search combines title/abstract language on mobile manipulation with claims-level language on collision-free and coupled planning, restricted to the core manipulator and control IPC classes (B25J9/16, G05B19/4155, B25J5). The result is a small, tightly-scoped corpus of 19 patent families published between 2015 and mid-2026.

Because publication typically lags filing by around 18 months, the 2026 figure of zero filings understates real activity; the more reliable read is the 2019 peak and the flat 2022 midpoint, which together suggest the field has stopped accelerating rather than that it has gone quiet.

Filing activity by year, 2017-2026
  1. 1THE GOVERNING COUNCIL OF THE UNIV OF TORONTO3
  2. 2SOUTH CHINA UNIV OF TECH2
  3. 3BESNOVO TECHNOLOGIES INC2
  4. 4HAINAN UNIV2
  5. 5ELECTRONICS & TELECOMM RES INST2
  6. 6INST OF AUTOMATION CHINESE ACAD OF SCI1
  7. 7ROBOTICS RESEARCH CENTER OF YUYAO CITY1
  8. 8CALIFORNIA INST OF TECH1
  9. 9TOYOTA JIDOSHA KK1
  10. 10ZHEJIANG UNIV1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Mobile Manipulator 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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The Numbers

Filing trend and technology composition

Two views of the same 19-family dataset: how filing activity has moved year over year, and how those filings split across IPC subclasses.

A peak in 2019, then a plateau

Filings rose from 2 in 2017 to a peak of 4 in 2019, then held at 4 again at the 2022 midpoint before tapering toward the (still-understated) 2026 figure of 0. There is no sustained growth phase visible in this data — activity rose once and has not built on it since.

A peak in 2019, then a plateau0123422017201842019202020214202220232024202502026Most recent year is partial — publication lag means later filings are not yet visible.

Concentrated almost entirely in B25J

All 19 records touch B25J (manipulators and robots), the class the search was built around. Welding and brazing (B23K) appears in 2 records, and general control classes G05B and G05D each appear once — signalling that motion-planning claims here are being written as manipulator claims first, with control-theory framing a minor secondary layer rather than a parallel filing strategy.

Concentrated almost entirely in B25JB25J · Manipulators & robots19100.0%B23K · Welding, soldering & brazing210.5%G05B · Control & regulating systems15.3%G05D · Control of non-electric variab…15.3%

Shares are the percentage of the 19 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 Mobile Manipulator 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 most-cited records in this corpus

Representative Filing
US20240286276A12024-08-29

Teaching device for a mobile manipulator based on a mobile robot and collaborative robot

ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Provided is a teaching device for a mobile manipulator based on a mobile robot and a collaborative robot. The teaching device includes a communication unit that transmits/receives data to and from the mobile manipulator, a memory that stores a program providing an interface for performing a task of the mobile manipulator, and a processor that operates a teaching program that performs map creation and autonomous setting for the mobile robot, and setting necessary for robot manipulation for the collaborative robot on the same interface.Filed by Electronics and Telecommunications Research Institute (ETRI), published 2024-08-29 — one of the most recent records in the set and a useful marker of where teaching-interface claims currently sit.

US20240286276A1 — patent drawing 1US20240286276A1 — patent drawing 2
View full filing
Highest-cited patent families
#Publication no.Patent titleCitations
1CN107414832A一种基于机器视觉的移动机械臂抓取控制系统及方法53
2US20200398433A1Method of calibrating a mobile manipulator19
3CN105563490A一种移动机械臂障碍物躲避的容错运动规划方法18
4US9862090B2Surrogate: a body-dexterous mobile manipulation robot with a tracked base14
5CN114800528A非凸抗噪型归零神经网络的移动机械臂重复运动规划7
6CN207206429U一种基于机器视觉的移动机械臂抓取控制系统7
7CN119871459A面向移动机械臂全身运动规划的优化方法4
8CN119927897A一种基于改进NSGA-III的移动机械臂时空轨迹综合性能优化方法3
9CN115781669A一种轮式移动机械臂加速度层重复运动规划方法2
10WO2019165561A1Method of calibrating a mobile manipulator2

Citation counts favour older filings simply because they have had more time to accumulate references inside this corpus — read them as a marker of influence on subsequent filers, not as a signal of which claims matter most today.

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 Mobile Manipulator 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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Analysis

What the numbers mean for a filing decision

Three findings that change how a team should approach this space, drawn directly from the filing and citation data above.

Filing Trend
4 → 4 → 0
peak (2019) → midpoint (2022) → latest (2026, partial)

Growth has stalled, not accelerated

A single peak year followed by a flat midpoint and a near-empty latest year is not the signature of an emerging field — it reads as a technology where the obvious claims were staked out early and few new entrants have shown up since. Teams evaluating entry should weigh whether the plateau reflects a saturated claim space or simply thin overall filing volume in a niche.

Based on 19 tracked families, 2017-2026
Geographic Concentration
10 of 19
records route through China

China is the primary filing venue

With 10 of 19 records filed through the China receiving office versus 6 through the United States and only single digits elsewhere (Canada, Japan, WIPO/PCT), any freedom-to-operate review for products destined for the Chinese market needs to start with this corpus, not treat it as a secondary jurisdiction.

Receiving office data across all 19 families
Ownership Structure
2 pairs
co-assignee relationships across 19 families

Ownership is fragmented, not allied

Only two co-assignee pairings appear across the whole set, and the strongest is a two-filing individual pairing rather than an institutional alliance. There is no visible cluster of firms cross-licensing or co-developing here — each assignee is filing largely alone.

Co-assignee pairs identified in the dataset
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 mobile manipulator motion planning, with the prior art for and against each one.

Find the white space →
Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Mobile Manipulator 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
Who Is Filing

Assignees and where they are — and are not — active

The assignee base spans Chinese universities, a Korean government research institute and individual inventors, but no single player holds a commanding share of the 19 families, and none show filing activity in the most recent tracked year.

Momentum
0 in latest year
across every tracked assignee

Activity has stopped across the board, not just for one leader

Every named assignee in the recent-momentum data — from Toronto's university council to Hainan University and South China University of Technology — shows zero filings in the latest tracked year, several with a full -100% year-on-year drop. This is a field-wide pause rather than one company losing ground to another.

Recent-year momentum by assignee
Citations
53 citations
top-cited record, CN107414832A

Early Chinese filings still anchor the citation graph

The most-cited record in the set is a 2017-era Chinese filing on vision-based grasping control for mobile manipulators, cited 53 times — far ahead of the next most-cited record. That gap reflects age and corpus composition as much as ongoing relevance.

Most-cited records table
Collaboration
2 co-assignee pairs
out of 19 families

Filers work alone more often than not

Zhejiang University paired once with Yuyao Robotics Research Center, and two individual inventors, Zhang Mingfeng and Yuan Xing, co-filed twice — the only two collaborative links in the entire dataset. New entrants should not expect to find an established consortium to partner into.

Co-assignee pair data
🔍
Under-claimed sub-areas worth checking before filing
Branches adjacent to the core corpus that show thin or no direct claim coverage in this dataset.
Dynamic re-planning under moving obstaclesCoupled base-arm trajectory optimization for welding tasksTeaching-interface standardization across robot typesRepetitive-motion planning via neural network solversFault-tolerant obstacle-avoidance replanning
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
The Governing Council of the University of Toronto0
Electronics and Telecommunications Research Institute (ETRI)0
Hainan University0-100%
South China University of Technology0
ZHANG MINGFENG0
YUAN XING0
Changchun University of Technology0
Suzhou Ronghui Special Robot Co., Ltd.0
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Mobile Manipulator 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
Next Steps

Where to take this analysis

This landscape identifies the filing pattern and the gaps; deciding whether to file, license, or design around requires going claim by claim.

Map claims against your own architecture

Run your specific base-arm coupling method or planning algorithm against the highest-cited families identified here to see which claim elements actually overlap with your design.

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Track the assignees showing renewed activity

Because every tracked assignee currently shows zero recent filings, a fresh filing from any of them would be a meaningful signal worth monitoring going forward.

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Validate the white-space chips against full claim text

The under-claimed branches flagged here are based on filing density, not a full claim-language review — confirm the gap holds before committing a first claim to any of them.

Review claim language in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Mobile Manipulator 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 mobile manipulator motion planning patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Mobile Manipulator 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.