Book a demo

Mobile Robot & AGV Patents: Who Leads, Where the Gaps Are 2026

Mobile Robot & AGV Patents: Who Leads, Where the Gaps Are 2026
https://www.patsnap.com/resources/blog/rd-blog/mobile-robots-and-agv-navigation-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Robotics · Patent Landscape 2026
Mobile robot and AGV navigation patents: mapping SLAM, path planning and docking claims
  • Filing has already peaked. 2023 recorded 144 filings against 78 in 2017 — the strongest year in the dataset — with 2022's midpoint of 75 confirming the growth curve has flattened rather than accelerated.
  • China and the US dominate the docket. China (311) and the United States (283) together account for well over half of all receiving-office filings, ahead of Europe (158), WIPO (96), Japan (63) and India (49).
  • The most-cited prior art predates the current filing wave. The five most-cited records include a 1994 autonomous mobile robot patent and a 2000 sensor-based pipe-navigation patent — foundational documents that any new SLAM or obstacle-avoidance claim still has to clear.
Get a prior-art report on your approach
1,060
Published Records
25%
Top-5 Share of All Records
-6%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth compares 2021 (86 records) with 2024 (81) — 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 1,060 records in scope (CR5), not by the ranked leaders only.

Published byPatsnap Research··8 min readSourced from Patsnap Eureka
Field Overview

What this landscape covers

This dataset tracks 1,060 patent families filed against navigation, obstacle avoidance, path planning, fleet management and docking accuracy for mobile robots and automated guided vehicles, spanning IPC classes G05D1, B25J5 and G01C21. Coverage runs from 2015 through the 2026 cut-off, with the most recent year necessarily undercounted because publication lags filing by roughly eighteen months.

The core classification, G05D (control of non-electric variables), appears in 883 of the 1,060 records — a strong majority — with G01C (navigation and gyroscopes) and B25J (manipulators and robots) as the next densest subclasses. Smaller but distinct pockets sit in G01S (radar and positioning), A47L (cleaning appliances) and B65G (conveying and material handling), pointing to where navigation IP has migrated into adjacent product categories.

Filing activity and technology composition, 2017–2026
  1. 1IROBOT CORP117
  2. 2PAPST LICENSING GMBH & CO KG51
  3. 3SEEGRID CORP42
  4. 4ROBART GMBH36
  5. 5JABIL INC22
  6. 6SHENZHEN ROCK TIMES TECH CO LTD20
  7. 7DEMATIC CORP16
  8. 8VERITY AG14
  9. 9GOOGLE LLC12
  10. 10TOYOTA JIDOSHA KK12
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Mobile Robots and AGV Navigation 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

Let an AI agent run this analysis on your own technology

Pick a task. Every answer cites the patents behind it.

10,000 free credits to start
Filing Data

Filing trend and technology composition

Annual filing counts and IPC distribution for the search scope, drawn directly from the underlying patent family set.

A decade of filings that crested in 2023

Filings rose from 78 in 2017 to a peak of 144 in 2023, with the 2022 midpoint of 75 marking the point past which growth stopped compounding. The 2026 figure of 20 reflects partial-year publication lag rather than an actual collapse in filing activity, but the multi-year plateau before it is a real signal that the core claim space is filling up.

A decade of filings that crested in 20230387511315078201720182019202020212022144202320242025202026Most recent year is partial — publication lag means later filings are not yet visible.

Control and navigation subclasses dominate

G05D accounts for 883 of 1,060 records, making non-electric control the backbone of this landscape. G01C (232) and B25J (211) form a substantial secondary tier covering positioning hardware and manipulator mechanics, while G01S, A47L, G06Q and B65G each carry a smaller but non-trivial share — evidence that navigation claims increasingly cross into cleaning appliances, logistics conveying and fleet-management software.

Control and navigation subclasses dominateG05D · Control of non-electric variab…88383.3%G01C · Distance, navigation & gyrosco…23221.9%B25J · Manipulators & robots21119.9%G01S · Radar, sonar & positioning969.1%A47L · Cleaning & washing appliances948.9%G06Q · Business, commerce & admin dat…555.2%B65G · Conveying & material handling535.0%G05B · Control & regulating systems504.7%Other59055.7%

Shares are the percentage of the 1,060 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 Robots and AGV Navigation covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.

Go deeper on Mobile Robots and AGV Navigation with Eureka

This page is one run against one query. Ask Eureka your own question about mobile robots and agv navigation and every answer comes back with the patent numbers behind it.

Try Eureka
Key Patents

Foundational and representative filings

Representative Recent Filing
EP4636527A12025-10-22

Obstacle avoidance method and apparatus for an autonomous mobile robot

BEIJING ROBOROCK INNOVATION TECHNOLOGY CO., LTD.

Filed by Beijing Roborock Innovation Technology, this application describes an obstacle-avoidance method using two sensors that classify obstacles by the height range of their outermost surface, then adjust the robot's travel path along that surface accordingly. The two-tier height-based sensing approach is a concrete example of how docking-accuracy and obstacle-avoidance claims are being refined well past the foundational patents in the most-cited table.Abstract trimmed for length; see the full filing for complete claim language.

EP4636527A1 — patent drawing 1EP4636527A1 — patent drawing 2
View filing details
Most-cited records in this landscape
#Publication no.Patent titleCitations
1US5324948AAutonomous mobile robot for radiologic surveys333
2US7066291B2Robot system329
3US20160176638A1Method and system for automated transport of items320
4US20050166355A1Autonomous mobile robot cleaner273
5US6108597AAutonomous mobile robot system for sensor-based and map-based navigation in pipe networks252
6US5911767ANavigation system for an autonomous mobile robot184
7US5073749AMobile robot navigating method180
8US20160167226A1Systems and Methods for Capturing Images and Annotating the Captured Images with Information178
9US20180072212A1Free ranging automated guided vehicle and operational system159
10CN103558856A动态环境下服务动机器人导航方法153

Citation counts are drawn from the same corpus and favour older filings by construction; treat them as a measure of influence on later art, not of current commercial relevance.

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 Robots and AGV Navigation 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
Run it yourself

Put your own technology through the same analysis

 
Where to run it
Fastest

Eureka on the web

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 →
For builders

MCP server & REST API

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 →
Landscape Insights

What the numbers mean for filing strategy

Four read-outs from the filing trend, technology composition and receiving-office data that matter for anyone deciding where to file or build next.

Filing Trajectory
144 in 2023 vs 78 in 2017
peak year vs first tracked year

Growth has plateaued, not accelerated

The climb from 78 filings in 2017 to a peak of 144 in 2023 looks strong in isolation, but the 2022 midpoint of 75 shows most of that growth had already happened by the middle of the window. Flat-to-declining filing after a peak year usually means the obvious claim territory is occupied, not that interest has cooled.

Filing trend, 2017–2026
Jurisdiction Split
China 311 · US 283
receiving office filings

Filing strategy is bifurcated between two blocs

China and the United States together outweigh Europe, WIPO, Japan and India combined. A filing strategy built only around one of these two offices will miss the majority of competitive activity in this space.

Receiving office counts
Technology Concentration
883 of 1,060 records
G05D subclass share

Control-of-non-electric-variables claims dominate the docket

With G05D present in over 83% of records, this is the subclass to search first for freedom-to-operate work. The secondary tiers — G01C navigation hardware and B25J manipulator mechanics — are where differentiated claims are more likely to still be available.

IPC composition
Prior Art Depth
Cited 333, 329, 320
top three most-cited records

Foundational patents are decades old

The most-cited record in this set dates to 1994, with a sensor-based pipe-navigation patent from 2000 also in the top five. New SLAM and obstacle-avoidance filings are still being written against this older foundational art, which makes prior-art search depth non-negotiable for anything filed today.

Most-cited 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 mobile robots and agv navigation, with the prior art for and against each one.

Find the white space →
Co-assignee activity is thin
AssigneeCo-assigneeShared families
iRobot CorporationWON CHIKYUNG2
iRobot CorporationSANDIN PAUL E2
iRobot CorporationOZICK DANIEL N2
iRobot CorporationOKERHOLM ANDREA M2
iRobot CorporationMAMMEN JEFFRY W2
iRobot CorporationHALLORAN MICHAEL J2
Boomerang Systems, Inc.SWASEY MERIN2
Boomerang Systems, Inc.CHECKETTS STANLEY J2

Only 10 co-assignee pairs appear across the dataset, each linked by a shared count of 2 — a sign that this field is still dominated by single-assignee filing rather than joint development programmes.

Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Mobile Robots and AGV Navigation 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
Competitive Landscape

Who holds the portfolio, and where momentum has stalled

Recent-year momentum figures show a field where several previously active filers recorded zero filings in the latest tracked year, consistent with the broader plateau in the filing trend.

Momentum Signal
-100% YoY
latest-year change, multiple assignees

Established filers have gone quiet in the latest year

Several assignees with prior filing activity, including iRobot and Seegrid, show zero filings and a -100% year-on-year change in the most recent tracked year. Given the eighteen-month publication lag, this likely overstates a real slowdown, but it is consistent with the multi-year plateau in overall filings.

Recent-year momentum by assignee
Portfolio Depth
1,060 families
total ranked families

Filing is concentrated at the top with a long tail

The assignee ranking spans the full 1,060-family set, with a small group of repeat filers holding disproportionate share and a long tail of single- or few-filing entrants behind them. This pattern is typical of a field where core navigation claims were staked out early.

Assignee ranking
Collaboration
10 co-assignee pairs
shared-filing relationships

Joint filings are rare

With only 10 co-assignee pairs recorded and each pair sharing just two filings, cross-company collaboration is not a meaningful feature of this landscape. Most portfolios appear to be built through internal R&D rather than joint ventures.

Co-assignee pairs
🔍
Under-claimed sub-areas worth a closer look
Smaller IPC pockets and adjacent categories suggest room for differentiated claims outside the dense G05D core.
Multi-robot docking-accuracy calibrationFleet-management scheduling for mixed AGV/AMR fleetsHeight-range obstacle classification sensorsPipe-network and confined-space SLAMConveyor-to-mobile-robot handoff mechanics
Rank all filers by momentum →
Recent-year filing momentum by assignee
AssigneeRecent yearYoY
iRobot Corporation0-100%
Robert Bosch GmbH0
Seegrid Corporation0-100%
Jabil Inc.0-100%
Shenzhen Roborock Times Technology Co., Ltd.0
Dematic Corp.0
Google LLC0
Delta Electronics International (Singapore) Pte Ltd0-100%
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Mobile Robots and AGV Navigation 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

The filing trend and technology composition point to a field with an occupied core and thinner adjacent branches. The next steps depend on whether the goal is freedom-to-operate, portfolio benchmarking or identifying filing gaps.

Run a freedom-to-operate check against G05D

With 883 of 1,060 records classified under G05D, any new navigation or path-planning filing should be checked against this subclass first, including the decades-old foundational patents still driving citation counts.

Explore G05D prior art in Eureka

Track momentum shifts before they show in filings

Several established assignees show zero filings in the latest tracked year. Monitoring application-stage activity, rather than only granted or published counts, can surface a strategy change before it appears in this kind of yearly trend.

Set up assignee monitoring in Eureka

Test claim language in the under-claimed pockets

Fleet management, docking-accuracy calibration and confined-space SLAM sit in smaller IPC pockets than the G05D core. Drafting around these branches may face a thinner prior art wall than the core control claims.

Search adjacent IPC classes in Eureka
Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Mobile Robots and AGV Navigation 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 about mobile robot and AGV navigation patents

Answers are grounded in the same dataset. Derived from a Patsnap search on Mobile Robots and AGV Navigation 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

Research Mobile Robots and AGV Navigation in depth with Eureka

Go past this page: query the whole mobile robots and agv navigation corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.

Try Eureka

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.

Help us improve this page

Found incorrect or outdated information? Let us know and we'll get it fixed.