Autonomous Mobile Robot Process Automation Patent Landscape 2026
- Filing peaked in 2023 at 24 families after a flat run through 2022, then the trend falls away — a pattern more consistent with publication lag than with a cooling field.
- Control-side IPC classes dominate G05D (non-electric variable control) appears in 17 of 24 records, far ahead of navigation, business-logic and lifting-gear classes.
- Europe and PCT lead receiving offices EPO (9) and WIPO (8) filings outnumber Canada (5) and the US (2), signalling multi-jurisdiction intent from a small applicant base.
What this landscape covers
This dataset tracks 24 patent families at the intersection of autonomous mobile robots (AMR), material flow automation and intralogistics, filtered to core navigation and lifting IPC classes (G05D1/02, B65G1/04, G06Q10/08). It is a narrow, purpose-built slice of robotics patenting rather than a general AMR search, so absolute counts are small and every ranking should be read as a signal of concentration, not market size.
Coverage runs from 2015 through the mid-2026 data cut-off. Because publication typically lags filing by around 18 months, the most recent one to two years understate real filing activity and should not be read as a decline on their own.
Filing trend and technology composition
Two views of the same 24-family dataset: when the filings landed, and which IPC subclasses they sit in.
Filing trend, 2017–2026
Filings sat at zero in 2017 and again at the 2022 midpoint before all 24 families cluster into the 2023 peak — a shape that looks less like organic growth and more like a filing wave concentrated in a short window, with the tail end of the range still filling in as later applications publish.
IPC subclass composition
G05D (control of non-electric variables) covers 17 of 24 records, with G01C navigation, G05B regulating systems and G06Q business-process claims tied at 8 each. B66F lifting gear (6), G08G traffic control (4), G10L speech/audio (3) and B25J manipulators (2) trail well behind, marking the manipulation and traffic-coordination layers as comparatively open.
Shares are the percentage of the 24 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Autonomous Mobile Robot Process Automation with Eureka
This page is one run against one query. Ask Eureka your own question about autonomous mobile robot process automation and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative filing and most-cited records
Configuring a system that handles uncertainty with human and logic collaboration in a material flow automation solution
A system, comprising at least one autonomous mobile robot (AMR); and a management system comprising at least one processor configured to: enable the identification of a target region, the target region comprising one or more target locations; direct the at least one AMR to the target region; enable the selection of whether a first target location of the one or more target locations is identified by an operator or by the management system; and direct the at least one AMR to the first target location.Filed by Seegrid Corporation, published 2024-06-06.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | WO2023230330A1 | System and method for performing interactions with physical objects based on fusion of multiple sensors | 2 |
| 2 | US20240185178A1 | Configuring a system that handles uncertainty with human and logic collaboration in a material flow automatio… | 1 |
| 3 | WO2023192272A1 | A hybrid, context-aware localization system for ground vehicles | 1 |
Citation counts are low in absolute terms and skew toward earlier-published records within this corpus; treat them as a marker of early influence, not current relevance.
Publication numbers are shown where the record carries one (3 of 3 rows); clicking a row searches Eureka by that number.
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Three read-outs from the trend, IPC mix and citation table that matter more than the raw counts alone.
A single-year filing wave, not a steady climb
With 2017 and 2022 both at zero and the entire dataset landing by 2023, this looks like a compressed filing wave rather than gradual field maturation. Later years are still filling in as recent applications publish.
Control-loop claims are the crowded layer
G05D (non-electric variable control) appears in the large majority of records, meaning navigation and motion-control claim space is comparatively occupied. Filing here means designing tightly around existing control-loop language.
Europe and PCT lead over direct US filing
EPO and WIPO receiving-office counts outpace Canada and the United States, suggesting applicants are prioritising multi-jurisdiction protection routes over direct US filing at this stage.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to autonomous mobile robot process automation, with the prior art for and against each one.
Assignee activity and where the gaps sit
Recent-year momentum data is thin in this corpus — the tracked assignee shows no filings in the latest year, consistent with the broader post-2023 publication lag rather than a pullback.
Momentum figures are lagging, not falling
The one assignee with recent-year momentum data shows zero filings in the latest tracked year. Given the 18-month publication lag across this whole dataset, that reads as pipeline still in the system rather than a stop in R&D.
A small, concentrated applicant base
With only 24 families across the entire topic, the assignee ranking is short by construction — this is a niche claim space with room for a new entrant to establish a position rather than a crowded incumbent field.
European and Canadian filing routes outweigh direct US entry
The receiving-office split points to applicants building protection through EPO and PCT routes first, with Canada a secondary direct-filing venue and the US comparatively underused as a first filing point.
| Assignee | Recent year | YoY |
|---|---|---|
| Seegrid Corporation | 0 | — |
Where to take this analysis
The dataset points to a narrow, control-heavy claim landscape with a short applicant list — the next steps depend on whether you are filing, clearing or monitoring.
Stress-test a draft claim against the G05D core
Run a candidate claim through the dense control-of-non-electric-variables layer before filing, since 17 of 24 records sit there and freedom-to-operate risk concentrates in that subclass.
Explore claim clearance in EurekaTrack the 2024–2026 publication tail
Because filings this recent are still emerging, set a watch on the receiving offices and IPC classes here rather than treating the current trend line as final.
Set up monitoring in EurekaMap the under-claimed sub-areas to your roadmap
Sensor-fusion object interaction, human-logic handoff and fleet traffic coordination all sit outside the crowded core — worth checking against your own pipeline before someone else claims first.
Run a white-space search in EurekaFrequently asked questions
This dataset identifies 24 patent families published between 2015 and the mid-2026 cut-off, using a search restricted to core navigation and lifting IPC classes. That is a narrow, purpose-built slice rather than a count of every AMR patent in existence, so it should be read as a concentration signal within this specific claim space rather than total market size. Broader searches without the IPC and title/abstract restrictions would return a larger set.
G05D, control of non-electric variables, appears in 17 of the 24 records in this dataset, making it the dominant classification by a wide margin. Navigation (G01C), regulating systems (G05B) and business-process claims (G06Q) each appear in 8 records, well behind. This means motion and control-loop claim language is the most occupied part of the landscape, and new filings there face the densest prior art.
The raw trend shows filings at zero in 2017, still at zero at the 2022 midpoint, then all 24 families clustering by the 2023 peak, with a drop-off after. That shape is more consistent with a compressed filing wave than either steady growth or genuine decline. Because publication lags filing by roughly 18 months, the 2024-2026 figures are understated and should not be read as the field cooling off.
The IPC tail of this dataset points to several under-claimed sub-areas: multi-sensor object-interaction fusion, human-in-the-loop uncertainty handoff, speech or audio-guided tasking, fleet-level traffic coordination, and manipulator-integrated lifting. These sit well below the 17-record G05D control core and the 8-record navigation and business-logic classes. A first claim in one of these areas is more likely to clear prior art cleanly than one written against core motion-control language.
US20240185178A1, filed by Seegrid Corporation and published 2024-06-06, claims a system pairing an autonomous mobile robot with a management system that can direct the AMR to a target region and then let either an operator or the management system itself select the specific target location within it. That human-or-logic handoff for target selection is a fairly specific mechanism, and it sits in one of the less-crowded corners of this dataset. Anyone building AMR task-assignment logic with a similar operator-override option should review this claim scope closely before finalising their own architecture.
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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.