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Cobot & Mobile SLAM Navigation Patent Landscape 2026

Cobot & Mobile SLAM Navigation Patent Landscape 2026
Competitive Landscape
Cobot & Mobile SLAM Navigation Patent Landscape in 2026

The cobot and mobile SLAM navigation space is in a Growth stage, with a moderately fragmented field led by Intel Corp, Omron Corp, and Agency for Science, Technology and Research — no single applicant holds a dominant share. Activity expanded sharply on a multi-year basis, though annual volume has eased from its 2023 peak and recent years remain understated by publication lag.

95
Patent families in scope
22%
Top-5 share of top-100 filers
+120%
3-yr filing growth (lag-adj.)
United States
Leading jurisdiction
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Published byPatSnap Insights Team··6 min readVerified by PatSnap Eureka data
Overview

Fragmented field with no runaway leader — Intel heads a shallow hierarchy

Intel Corp leads all filers with 7 patent records, followed by Omron Corp with 6 and Agency for Science, Technology and Research with 5. The top five applicants collectively account for 22% of the hundred largest filers’ combined total, signaling a fragmented competitive structure with no single dominant assignee.

The tier gap between first and fifth place is narrow — just three patent records separating Intel (7) from Kuka Deutschland GmbH and the University of Toronto (4 each) — confirming that no applicant has built a decisive lead. A diverse mix of industrial robotics firms, semiconductor companies, universities, and automotive groups occupies the top tier.

Leading applicants
#ApplicantPatent recordsShare
1Intel Corporation7
2Omron Corporation6
3AGENCY FOR SCI TECH & RES5
4The Governing Council of the University of Toronto4
5Kuka Deutschland GmbH4
6Hebei University of Technology3
7Nimble Robotics Inc.3
8Hyundai Motor Company3
9Shandong University3
10KUKA Laboratories GmbH3
#ApplicantPatent recordsShare
11Chengdu Qinchuan IoT Technology Co., Ltd.3
12Northwestern University3
13Rethink Robotics Inc.2
14The Government of the United States of America2
15Airbus SAS2
16Digital Surgery Systems Inc.2
17Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences2
18HighRes Biosolutions Inc.2
19Crosswing Inc.2
20Amazon Technologies Inc.2
↗ Hover a row · click a company to ask Eureka

Intel’s position as the numerical leader, combined with its classification focus squarely in manipulator control (B25J 9), suggests a deliberate push to embed computing architecture in robotic systems. Omron’s comparable depth and additional coverage in mobile control (G05D 1) reflects its strength as an integrated automation platform vendor.

Patent counts for 20242026 are likely understated due to standard publication lag of 18–24 months; the landscape’s true current activity is higher than indexed figures suggest. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.

Source: PatSnap Eureka. Chart shows the top applicants ranked by patent records; the corpus total is measured in patent families. These figures use different units and should not be compared directly.Explore deeper in Eureka →
Trends & Structure

A 120% multi-year surge dominated by manipulator and control IP

Two charts capture the pace and shape of innovation: annual filing volume from 2017 to 2026, and the IPC class breakdown showing where technical effort is concentrated.

Annual filing trend

Filings grew from 4 records in 2017 to a peak of 22 in 2023 — a sharp multi-year expansion representing 120% recent-window growth. The apparent decline in 2024 and 2025 should be read cautiously, as publication lag typically suppresses counts for the most recent 18–24 months. The underlying growth trajectory remains intact on a multi-year basis.

Annual filing trendAnnual values from 2017 to 2026, peaking at 22 in 2023.42017102018520195202010202111202222202311202414202532026↗ Hover for values · click a bar to ask Eureka

Technology composition

B25J (Manipulators & robots) is the commanding class with 105 patent records, far ahead of G05D (Control of non-electric variables) at 17. Downstream classes — G06F, G06Q, B65G, and G05B — each carry fewer than 10 records, confirming that core manipulator mechanics anchor the field while software, logistics, and systems-control branches remain comparatively thin.

Technology compositionB25J · Manipulators & robots leads with 105; G05D · Control of non-electric variables 17.B25J · Manipulators & ro…105G05D · Control of non-el…17G06F · Electric digital …8G06Q · Business, commerc…7B65G · Conveying & mater…6G05B · Control & regulat…6G01C · Distance, navigat…4G06N · Computing based o…4↗ Hover for values · click a bar to ask Eureka
Source: PatSnap Eureka. Technology-branch counts are measured in patent records; a single patent family can carry several IPC classes, so class totals can exceed the family total in scope.Explore deeper in Eureka →
Key Patents

Highly cited patent families surfaced by the query

Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.

Featured patent
US20240286276A1Published 2024-08-29

Teaching device for mobile manipulator based on mo…

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… (excerpt from the patent abstract)

Teaching device for mobile manipulator based on mo… — patent drawingTeaching device for mobile manipulator based on mo… — patent drawing
Representative drawings from the patent document.
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Highly cited patent families surfaced by this query
#PatentCitations
1Mobile robot manipulator158
2Collaborative robot for visually inspecting an air…109
3Storage Systems and Methods for Robotic Picking83
4Mobile robot manipulator40
5Mobile manipulator and method of controlling the m…30
6Mobile manipulator, method for controlling mobile …24
7Method of calibrating a mobile manipulator19
8System, especially for production, utilizing coope…15

Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.

Source: PatSnap Eureka. Citation-ranked patent families surfaced by this query.Open in Eureka →
Insights

What the competitive structure means for R&D investment decisions

Four structural dimensions — maturity, concentration, collaboration, and geography — shape where the next defensible positions can be built in cobot and mobile SLAM navigation.

Growth

Growth stage: multi-year expansion intact, annual pace easing from 2023 peak

The field is classified as Growth, driven by a 120% increase in recent-window filings versus the prior comparable window. Annual volume peaked in 2023 at 22 records and has eased since, though publication lag means 2024–2026 figures are understated. Entering now still offers meaningful freedom to operate relative to a mature, densely filed domain.

Growth stage
Concentration

Low concentration: top five hold 22% of the hundred largest filers’ combined total

The top five applicants account for 22% of the top-100 filers’ combined patent records, and the rank-one-to-five gap is only three records. This shallow hierarchy means no incumbent has erected a broad blocking position. New entrants and challengers face a landscape where targeted filings in specific sub-areas can achieve meaningful relative coverage quickly.

Fragmented
Collaboration

Kia Motor and Hyundai Motor are the only confirmed co-filer pair

The sole documented co-applicant relationship in the evidence is between Kia Motor Company and Hyundai Motor Company, who share 3 co-filed patent records — consistent with their corporate integration. No cross-industry or academic-industry collaboration pairs are evidenced, suggesting that consortium-based IP strategies remain underdeveloped in this field and could be a differentiator for early movers.

Low ecosystem depth
Geography

US leads filings; China is the primary challenger jurisdiction

The United States is the leading filing jurisdiction with 44 patent records, followed by China at 35 and WIPO (PCT) at 16. India registers 8 records — unusually prominent for this stage, likely reflecting active academic filing. Europe (EPO) at 6 records is modest given the region’s robotics industry base, indicating an underutilized protection route for applicants with European commercial exposure.

US-China bipolar
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Top collaboration links
ApplicantCollaboratorCo-filings
Kia Motor CompanyHyundai Motor Company3

Co-filing pairs, ranked by the number of jointly-filed patent families.

Source: PatSnap Eureka. Jurisdiction counts are at the patent-record level; a family can appear in multiple jurisdictions.Explore insights →
Leaders

Intel and Omron lead on manipulator IP; Kia/Hyundai own mobile control

The leading applicants divide into two functional clusters: computing and industrial-automation incumbents concentrated in B25J manipulator classes, and automotive entrants focused on mobile platform control via G05D.

Leader · Intel Corporation

Intel Corporation

Intel leads with 7 patent records, concentrated in B25J 9 (manipulator control) with additional coverage in B25J 13 and G05B 19. Its momentum is classified as a new entrant, indicating that substantially all of its records were filed in the recent window — a deliberate, fast-entry posture rather than a long-accumulated portfolio.

7 patent records
Challenger · Omron Corporation

Omron Corporation

Omron holds 6 patent records with a balanced spread across B25J 9 (manipulator mechanics), G05D 1 (mobile platform control), and B25J 13 (sensor-guided manipulation) — the broadest technical coverage among the top filers. This cross-class positioning reflects Omron’s dual capability in fixed cobot arms and autonomous mobile robots, giving it hedged exposure across both segments.

6 patent records
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Access the complete ranked list of all filers, their technology emphasis, and momentum scores.
Agency for Science, Technology and ResearchKuka Deutschland GmbH+ more
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Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Intel Corporation6▲ new entrant
Kia Motor Company1▲ new entrant
Northwestern University2▲ new entrant
Hyundai Motor Company1▲ new entrant
Nimble Robotics Inc.1▲ new entrant
Source: PatSnap Eureka. Player counts are derived from applicant rankings measured in patent records.Explore players →
Adjacent Branches

Under-served adjacent branches in navigation sensing and logistics control

Several IPC classes adjacent to the dominant B25J core carry sparse coverage relative to their technical relevance to cobot and mobile SLAM systems. These are observations of relative sparsity; technical and commercial viability should be validated before treating them as investment targets.

G01C · Distance, navigation & gyroscopes

With only 4 patent records and a 2% share among indexed classes, G01C — which directly covers metric SLAM localization, inertial navigation, and map-building sensors — is conspicuously thin given its centrality to mobile robot navigation. The sparse coverage is plausibly explained by most SLAM sensor IP being filed under B25J by system-level assignees rather than component specialists. An entrant with sensor-fusion or LiDAR-SLAM differentiation could file targeted G01C claims with relatively low blocking risk from existing IP.

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B65G · Conveying & material handling

B65G holds 6 patent records and a 3% share, despite mobile manipulators being widely deployed in warehouse and intralogistics settings. The top-cited patent ‘Storage Systems and Methods for Robotic Picking’ (83 citations) signals strong commercial interest in this intersection, yet the filing base is thin. A coordinated SLAM-plus-conveying claim set — bridging autonomous navigation and payload handling — represents an adjacent coverage gap with a clear industrial application path.

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Unlock the full white-space map
See all sparse IPC branches, their citation density, and suggested claim strategies across the full landscape.
G06F · Electric digital data processingG05B · Control & regulating systems+ more
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Source: PatSnap Eureka. White-space branches are identified by low patent-record counts relative to the overall corpus; technical opportunity requires independent validation.Explore emerging →
Route Matrix

How top filers differ across technology routes

Route coverage across the main technology branches in the current evidence set.

PlayerB25J 9 · Manipulators & robotsB25J 5 · Manipulators & robotsB25J 19 · Manipulators & robotsG05D 1 · Control of non-electric variablesB25J 13 · Manipulators & robots
Agency for Science, Technology and Research (A*STAR)Strong · 5Moderate · 2AbsentAbsentStrong · 5
The Governing Council of the University of TorontoStrong · 4Strong · 3Strong · 4AbsentModerate · 1
Nimble Robotics Inc.Strong · 3Strong · 3Strong · 3AbsentStrong · 3
Omron CorporationStrong · 6AbsentEmerging · 1Moderate · 2Emerging · 1
Northwestern UniversityStrong · 3Strong · 3AbsentAbsentStrong · 3
Intel CorporationStrong · 6AbsentAbsentAbsentEmerging · 1
Chengdu Qinchuan IoT Technology Co., Ltd.Strong · 3AbsentStrong · 3AbsentAbsent
Source: PatSnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
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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.

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