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AGV Motion Planning Patents: Leaders, Trends & White Space 2026

AGV Motion Planning Patents: Leaders, Trends & White Space 2026
https://www.patsnap.com/resources/blog/rd-blog/automated-guided-vehicle-motion-planning-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Robotics & Autonomous Systems
Automated Guided Vehicle Motion Planning Patents: Who Files, What They Claim

A patent landscape review of automated guided vehicle motion planning: filing trends since 2015, the concentration of filings among leading companies, technology composition across IPC classes, and the most-cited prior a

41
Published Records
39%
Top-5 Share of All Records
0%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth = 2021 (3 records) → 2024 (3); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 41 records in scope (CR5), not the ranked leaders only.

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Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this landscape covers

This review covers 41 published records at the intersection of automated guided vehicle operation and motion or path planning, filed between 2015 and the 2026 data cut-off. The scope combines a targeted title/abstract search for AGV motion planning with an IPC filter on B25J, G05D1 and G05D, so the set captures documents that explicitly frame path or trajectory planning as part of AGV control rather than every AGV-adjacent filing in general robotics.

Because publication lags filing by roughly 18 months, the most recent one to two years in the trend chart will always look thinner than they eventually turn out to be. Read the concentration and technology figures below as a description of where claim space currently sits, not a verdict on where the field is heading next.

Filing activity by year, 2015-2026
  1. 1THE BOEING CO5
  2. 2DELTA ELECTRONICS INTL SINGAPORE4
  3. 3SIEMENS AG3
  4. 4KUKA LAB GMBH2
  5. 5BEIJING JINGDONG QIANSHITECHNOLOGY CO LTD2
  6. 6TECO ELECTRIC AND MACHINERY2
  7. 7ZHEJIANG LAB1
  8. 8ZHENGZHOU UNIV1
  9. 9JIANGSU KANION PHARMA CO LTD1
  10. 10CHINA TELECOM INTELLIGENT NETWORK TECHNOLOGY CO LTD1
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Automated Guided Vehicle Motion Planning Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP

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The data

Filing trend and technology composition

Two views of the same 41 records: how filing activity has moved year over year, and which control and navigation classes carry the claim language.

A peak in 2017, then a flatter plateau

Filings hit their high point in 2017 at 7 records. Comparing the two most recent complete years, 2021 and 2024, filing volume held flat at 3 records each — 0% growth over that span. That is a plateau, not a decline: recent years are still filling in as publications catch up with filing dates.

A peak in 2017, then a flatter plateau024687201720182019720202021202220232024202512026Most recent year is partial — publication lag means later filings are not yet visible.

Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.

Concentration in one control class

G05D (control of non-electric variables) appears on 95.1% of the 41 records in scope, confirming that AGV motion planning is overwhelmingly filed as a control-systems problem. G01C (navigation and gyroscopes) follows at 24.4%, with B60L, G05B and G06Q each in single-digit-to-low-double-digit territory — signalling that propulsion, business-layer dispatch and manipulator integration are still comparatively open.

Concentration in one control classG05D · Control of non-electric variab…3995.1%G01C · Distance, navigation & gyrosco…1024.4%B60L · Electric vehicle propulsion49.8%G05B · Control & regulating systems49.8%G06Q · Business, commerce & admin dat…37.3%B25J · Manipulators & robots24.9%G06K · Data recognition & presentation24.9%B24B · Grinding & polishing12.4%

Shares are the percentage of the 41 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 Automated Guided Vehicle Motion Planning Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Key patents

Representative filing and most-cited prior art

Representative record
CN112578782A2021-03-30

CN112578782A — Task path planning method and device for automated guided transport vehicle

杭州海康机器人股份有限公司

The filing describes a dispatch server that receives a task, selects the AGV to execute it, reads vehicle-restriction information configured on road segments or nodes of the AGV map, and plans a task path from the vehicle's current position to the target point using only the segments that vehicle is permitted to traverse.Machine-translated from the original Chinese filing; wording follows the source abstract closely.

CN112578782A — patent drawing 1CN112578782A — patent drawing 2
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Most-cited records in this landscape
#Publication no.Patent titleCitations
1US20140371973A1Automated Guided Vehicle And Method Of Operating An Automated Guided Vehicle37
2US20210200240A1Automated guided vehicle management system and method32
3CN109976320A一种基于时间窗在线修正的多AGV路径规划方法29
4US9244463B2Automated guided vehicle and method of operating an automated guided vehicle21
5CN106647738A一种无人搬运车的对接路径确定方法及系统及无人搬运车20
6CN114489062A面向车间物流的多自动导引车分布式动态路径规划方法19
7CN111413980A一种用于巡检的自动导引车路径规划方法18
8CN118034272A一种基于动态避障的多AGV路径规划方法及系统15
9CN108170146A一种基于已知环境的路径规划方法14
10WO2022002885A1An edge computing based path planning system for AGV with intelligent deviation correction algorithm9

Citation counts favour older filings that have had more time to accumulate citations within the searched corpus; treat them as a measure of influence, 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 Automated Guided Vehicle Motion Planning Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Insights

What the numbers mean for a filing decision

Four things the raw counts imply for anyone deciding whether, and where, to file next in this space.

Concentration
39.0%
of 41 records held by top 5 assignees

No single gatekeeper, but a visible cluster

The five leading assignees together hold 39.0% of all 41 records in scope, and the leader itself holds only 5. That is enough concentration to require freedom-to-operate checks against a handful of named parties, but not enough to call this a one-company field.

Ranking covers 32 companies total.
Long tail
53.7%
of 41 records held by top 10 assignees

Filing extends into a long tail fast

Moving from the top 5 to the top 10 assignees only adds 14.7 percentage points, to 53.7% of the 41 records in scope. Roughly half the field sits outside even a top-10 grouping, spread thinly across the remaining 22 ranked companies.

Tenth-ranked assignee holds 1 record.
Technology skew
95.1%
of records classified under G05D

Claim language clusters on control, not hardware

Almost every record in scope carries a G05D control classification, while manipulator-specific claims (B25J) sit at 4.9% and data-recognition claims (G06K) at 4.9%. That gap suggests the harder-to-design-around claims are in control logic, not the physical AGV platform.

IPC shares sum above 100% because records carry multiple classes.
Filing geography
24 of the tracked filings
routed through China

Filing activity is regionally concentrated

China accounts for 24 of the tracked receiving-office filings, versus 7 in the United States and single or low-double digits across Europe, Canada, Taiwan and the WIPO PCT route. Anyone benchmarking freedom to operate outside China should not assume the same density of prior art applies.

Receiving offices: CN 24, US 7, EP 3, CA 2, TW 2, WO 2.
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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Automated Guided Vehicle Motion Planning Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's next

Where to take this analysis

The figures above describe the shape of the field. Turning that into a filing or freedom-to-operate decision means going deeper on specific claims and specific competitors.

Map claims against the most-cited prior art

Start with the highest-cited records identified here and work through their independent claims line by line before drafting anything adjacent to dispatch-server path planning or multi-AGV coordination.

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Track the under-claimed branches

B25J manipulator integration and G06Q business-layer dispatch both sit well under 10% of records. Either could still be claimed cheaply, but that window narrows as filing activity from 2025 onward is published.

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Watch the long tail for new entrants

With over half the ranked assignees holding only single filings, new entrants keep appearing rather than consolidating around the existing leader. Set up alerts rather than relying on a one-time landscape read.

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Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Automated Guided Vehicle Motion Planning Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Automated Guided Vehicle Motion Planning Patent Landscape covering 2015–2026, data cut-off 2026-08-31. 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.

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