Book a demo

Cobot Motion Planning Patent Landscape 2026

Cobot Motion Planning Patent Landscape 2026
Competitive Landscape
Cobot Motion Planning Patent Landscape in 2026

Cobot motion planning is a nascent but fast-expanding field: 42 patent families have been filed globally, with activity surging from near-zero before 2023, and Lincoln Global holds the clearest lead with 6 patent families. China accounts for the dominant share of filing offices, while manipulator-and-robot mechanics (B25J) represents the overwhelming technical core, leaving AI-model and digital-data-processing branches comparatively sparse.

42
Patent families in scope
30%
Top-5 share of top-100 filers
+480%
3-yr filing growth (lag-adj.)
China
Leading jurisdiction
↗ Tap any metric to explore the underlying patents and uncover deeper insights in PatSnap Eureka
Published byPatSnap Insights Team··6 min readVerified by PatSnap Eureka data
Overview

Lincoln Global leads a fragmented, early-stage field

Lincoln Global Inc holds the top position with 6 patent families, placing it well ahead of a second tier of applicants — Air Liquide entities, Intel, and the Electronics & Telecommunications Research Institute — each filing 2 patent families. The remainder of the top twenty each hold a single family.

The top five filers account for 30% of the hundred largest filers’ combined total, a relatively low concentration figure consistent with a field that has attracted many first-time entrants rather than a consolidated oligopoly. No single player has built a dominant blocking position.

Leading applicants
#ApplicantPatent familiesShare
1Lincoln Global Inc6
2LAIR LIQUIDE SA POUR LETUDE & LEXPLOITATION DES PR…2
3Intel Corporation2
4Air Liquide America Inc2
5ELECTRONICS & TELECOMM RES INST2
6Zhuhai Chuntian Technology Co Ltd1
7Hunan Vocational College of Railway Technology1
8UNIV OF SCI & TECH BEIJING1
9Northeastern University China1
10Shenzhen Hans Robot Co Ltd1
#ApplicantPatent familiesShare
11Institute of Automation, Chinese Academy of Sciences1
12Shenyang Donglian Intelligent Technology Co Ltd1
13Suzhou University1
14Jiangsu ASK Technology Co Ltd1
15BEIJING CHANGCHENG INST OF METROLOGY & MEASUREMENT…1
16Shanghai Shuguan Technology Co Ltd1
17Siasun Robot and Automation Co Ltd1
18South China University of Technology1
19Loca (Zibo) Robot Co Ltd1
20NANJING UNIV OF AERONAUTICS & ASTRONAUTICS1
↗ Hover a row · click a company to ask Eureka

Lincoln Global’s lead, concentrated in manipulator mechanics and welding-integrated motion control, reflects a deliberate application focus rather than broad platform coverage. This leaves adjacent areas — particularly AI-model-driven planning and digital data processing — open to challengers seeking differentiated positions.

The most recent 18–24 months of filings are subject to publication lag and are likely undercounted; the 2025 and 2026 figures should be read as floor estimates rather than final totals. 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 families. Applicant counts can overlap where a patent family lists several applicants, so they need not sum to the total in scope.Explore deeper in Eureka →
Trends & Structure

A 2023 filing surge defines the field’s trajectory; B25J overwhelmingly dominates the technology mix

Annual filing volume and technology-branch composition together reveal both the pace of market entry and the current technical emphasis of cobot motion planning innovation.

Annual filing trend

Filings were negligible from 2017 through 2022, then jumped sharply in 2023 — the field’s peak year — before easing in 2024 and 2025. The three-year recent window is 480% above the prior three-year window, confirming genuine expansion on a multi-year basis. The 2024–2026 bars should be treated as understated due to publication lag.

Annual filing trendAnnual values from 2017 to 2026, peaking at 15 in 2023.0201712018220191202022021120221520231320246202512026↗ Hover for values · click a bar to ask Eureka

Technology composition

B25J (Manipulators & robots) accounts for 41 patent records and is the dominant technical branch by a wide margin. Welding (B23K) and control systems (G05B) follow at 7 records each. AI-model computing (G06N), electric digital data processing (G06F), and image processing (G06T) each represent only 2–3 records, signalling that software-intensive planning approaches remain under-represented relative to mechanical implementation.

Technology compositionB25J · Manipulators & robots leads with 41; B23K · Welding, soldering & brazing 7.B25J · Manipulators & ro…41B23K · Welding, solderin…7G05B · Control & regulat…7G06F · Electric digital …3G06N · Computing based o…3G06T · Image data proces…2B25B · Hand tools & wren…1G01B · Measuring length …1↗ 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
US20240308070A1Published 2024-09-19

Robot with smart path planning for multiple parts

Lincoln GLOBAL, INC.

A method of path planning via a collaborative robot system is provided. The method includes programming a first welding path along a first welding seam of a first part of a sequence of multiple identical parts to be welded by a user moving a welding torch along the first welding seam to define a first weld pattern. The user positions the welding torch at a… (excerpt from the patent abstract)

Robot with smart path planning for multiple parts — patent drawingRobot with smart path planning for multiple parts — patent drawing
Representative drawings from the patent document.
Open this patent in Eureka →
Highly cited patent families surfaced by this query
#PatentCitations
1基于视觉的协作机器人安全控制方法56
2一种双臂自碰撞检测方法和计算机可读存储介质38
3一种智能协作机器人安全控制软件系统13
4一种协作机器人多步骤自主装配作业决策方法12
5一种协作机器人的运动规划与实时避障方法及系统12
6一种动态场景下协作机械臂自适应避障方法10
7基于视觉的协作机器人末端控制方法及其相关设备9
8基于多BCI与MR融合的人机协作交互操作系统及方法8

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 patent structure means for cobot motion planning R&D strategy

The competitive and technical structure of this corpus points to specific strategic conclusions for teams evaluating where to invest in cobot motion planning.

Growth

Growth stage — multi-year expansion confirmed, annual volume easing from 2023 peak

The field is classified as Growth, driven by a 480% rise in recent three-year filings versus the prior window. Annual volume peaked in 2023 and has eased since, though publication lag means 2024–2025 totals are understated. Teams entering now face an early but increasingly active patent environment rather than a blank slate.

Growth stage
Concentration

Low concentration: no blocking position established

The top five filers hold 30% of the hundred largest filers’ combined total — low enough that no single entity controls a broad blocking portfolio. With most applicants holding only a single patent family, the field is fragmented across industrial players and academic institutions. This structure favours differentiated technical entry rather than design-around strategies.

Fragmented
Collaboration

Two co-filing pairs identified; industry-academia link notable

Air Liquide America Inc and L’Air Liquide SA filed jointly on one family, reflecting coordinated IP strategy within the Air Liquide group. Changchun University of Technology and Jilin Hengchuang Intelligent Equipment co-filed one family, representing an industry-academia collaboration. Both pairings are isolated; no broader consortium or repeated co-filing network is evident at this scale.

Early ecosystem
Geography

China leads filing offices; US and PCT filings present but secondary

China accounts for 28 of 42 patent records at the filing-office level, making it the dominant jurisdiction. The United States follows with 7 records, WIPO PCT with 3, and Europe (EPO) with 2. Canada and India each show 1. The concentration in China reflects both local cobot manufacturing growth and a preference by Chinese academic and industrial filers to protect domestically first.

China-led
PatSnap Eureka · TRIZ Solution Agent
Facing a specific technical bottleneck in this field?

Go beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.

Solve it in Eureka →
Top collaboration links
ApplicantCollaboratorCo-filings
Air Liquide America IncL’Air Liquide SA1
Changchun University of TechnologyJilin Hengchuang Intelligent Equipment Co Ltd1

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

Source: PatSnap Eureka. Insights derived from applicant ranking, lifecycle analysis, collaboration pairs, and jurisdiction data.Explore insights →
Leaders

Lincoln Global anchors the field; welding-integration defines the front-runner’s route

All applicants with two or more patent families entered the corpus recently as new entrants, underscoring the field’s short history. Lincoln Global’s volume advantage and technical breadth set it apart from peers.

Leader · Lincoln Global Inc

Lincoln Global Inc

Lincoln Global holds 6 patent families — three times the next-ranked applicants — with technical focus spanning manipulator mechanics (B25J 9), control and regulating systems (G05B 19), and welding integration (B23K 37). Its momentum is flagged as a new entrant, meaning all filings arrived in the recent window, suggesting a deliberate and rapid build-out of cobot motion planning IP anchored in its core welding automation business.

families: 6
Challenger · Electronics & Telecommunications Research Institute

Electronics & Telecommunications Research Institute (ETRI)

ETRI holds 2 patent families with technical focus concentrated in manipulator and robot subclasses (B25J 5 and B25J 9). Like all applicants in this tier, ETRI entered as a new entrant in the recent window. As a government-affiliated research institute, its filings signal public-sector investment in cobot planning fundamentals and a potential source of licensable technology.

families: 2
🔍
See the full applicant breakdown
Access rankings, momentum trends, and technology routes for all 20 ranked applicants in cobot motion planning.
Intel CorporationSuzhou Elite Robotics Co Ltd+ more
Unlock full assignee analysis →
Leading-applicant momentum (recent 3 yrs, lag-adjusted)
ApplicantRecent (3 yrs)Trend
Lincoln Global Inc6▲ new entrant
Electronics and Telecommunications Research Institute (ETRI)2▲ new entrant
Intel Corporation2▲ new entrant
Air Liquide America Inc2▲ new entrant
L’Air Liquide SA2▲ new entrant
Changchun University of Technology1▲ new entrant
Suzhou University1▲ new entrant
Suzhou Elite Robotics Co Ltd1▲ new entrant
Source: PatSnap Eureka. Player cards reflect patent family counts from the applicant ranking and technology focus from IPC subclass analysis.Explore players →
Adjacent Branches

AI-model planning and digital data processing are under-served adjacent branches

Several IPC branches appear in the corpus at low counts relative to the dominant B25J core, representing areas where patent density is sparse. These observations are noted for their technical adjacency; whether they constitute investable opportunities depends on commercial context beyond this corpus.

G06N · Computing based on AI models

Only 3 patent records fall under G06N, giving it a 4% share of branch coverage — sparse for a topic where machine-learning-driven trajectory optimisation, reinforcement learning for obstacle avoidance, and neural motion planners are active research areas. Applicants working in learned motion planning or data-driven cobot control would face limited prior art density here, though they would need to assess Freedom to Operate against the broader robotics AI corpus outside this specific topic cluster.

Search this in Eureka →

G06T · Image data processing & generation

G06T holds only 2 patent records — a 3% share — despite vision-based cobot guidance being a central enabler of safe human-robot collaboration. The most-cited patent in this corpus addresses vision-based safety control, suggesting practical demand for this capability while formal patent coverage under G06T remains thin. Entries combining depth-camera perception with real-time motion re-planning could occupy a sparsely contested position.

Search this in Eureka →
🔒
Unlock the full white-space map
See all adjacent branches, filing-density scores, and suggested search strings across the complete cobot motion planning white-space analysis.
G06F · Electric digital data processingG01B · Measuring length & dimensions+ more
Unlock full analysis →
Source: PatSnap Eureka. Branch counts are at the patent-record level; low counts indicate relative sparsity within this corpus, not absence of broader prior art.Explore emerging →
Route Matrix

How leading applicants differ by technology route

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

PlayerB25J 9 · Manipulators & robotsG05B 19 · Control & regulating systemsB23K 37 · Welding, soldering & brazingB23K 9 · Welding, soldering & brazingB25J 11 · Manipulators & robots
Lincoln Global IncStrong · 6Strong · 4Moderate · 3AbsentEmerging · 1
L’Air Liquide SAStrong · 2AbsentAbsentStrong · 2Absent
Air Liquide America IncStrong · 2AbsentModerate · 1Moderate · 1Absent
Intel CorporationStrong · 2AbsentAbsentAbsentAbsent
Electronics and Telecommunications Research Institute (ETRI)Strong · 2AbsentAbsentAbsentAbsent
China Three Gorges UniversityStrong · 1AbsentAbsentAbsentAbsent
Source: PatSnap Eureka. Matrix values are measured in patent records and should not be compared directly with family-level applicant totals.Compare in Eureka →
Frequently asked questions

Frequently asked questions

Still have questions? PatSnap Eureka answers them from patent and research data.Ask Eureka →
PatSnap Eureka

Ready to map your own cobot motion planning landscape?

Join 18,000+ innovators using PatSnap Eureka to map any technology landscape: search 2B+ patents and papers, surface key assignees, and generate a report like this in minutes.

18,000+innovators worldwide
2B+patents & papers
< 5 minper landscape report

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.

Explore in Eureka ↗
Powered by PatSnap Eureka

Help us improve this page

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