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Robotic Welding Technology Landscape — PatSnap Eureka

Robotic Welding Technology Landscape — PatSnap Eureka
Patent Landscape · 2026

Robotic Welding Technology Landscape 2026

Analysis of 80+ patent records spanning 1969–2026 maps four technology clusters, dominant assignees, and five emerging directions reshaping autonomous and collaborative welding systems.

Dataset snapshot
Robotic Welding Patent Filing Concentration by Era: pre-2000 foundational, 2005–2019 development cluster, 2020–2023 acceleration phase, 2024–2026 leading edge with dominant concentration 2018–2026 Timeline of patent filing activity across four innovation eras in robotic welding. The dominant concentration of active filings falls between 2018 and 2026, based on 80+ records retrieved via PatSnap Eureka. Foundational Pre-2000 Development 2005–2019 Acceleration 2020–2023 Leading Edge 2024–2026
Source: PatSnap Eureka · 80+ patent records · 1969–2026
80+
Patent records analysed
20+
Lincoln Global records in dataset
10+
Path Robotics records in dataset
0.5ms
Min. RTT for remote welding control
Technology Overview

Five Decades of Welding Automation — Now Converging

Robotic welding encompasses the full spectrum of automated and semi-autonomous systems that plan, execute, sense, and control welding operations across industrial environments. The field is undergoing rapid transformation driven by the convergence of 3D vision sensing, AI-based path planning, collaborative robotics, and remote control via ultra-low-latency networks.

Within this dataset, robotic welding patents span five decades, but the dominant concentration of active filings falls between 2018 and 2026. Among retrieved results, arc welding (MIG/MAG/TIG/GMAW) remains the most commonly addressed process, with laser welding and multi-pass fillet welding appearing as specialized sub-domains.

Quality monitoring — including online seam inspection via laser scanning — is increasingly integrated into the same system architecture as path planning, signaling convergence toward closed-loop autonomous welding cells. This aligns with broader trends tracked by WIPO in robotics and advanced manufacturing patent activity.

The earliest active welding automation patent in the dataset is a 1969 General Dynamics pulsed-arc welding carriage, defining basic current-modulation and carriage-travel control concepts. By 2026, the frontier has advanced to multi-axis path optimization with simulation-based digital-twin validation before execution.

Four Technical Domains
  • Autonomous perception & seam detection via laser and 3D vision
  • Intelligent path planning, multi-pass programming & torch angle correction
  • Collaborative robot (cobot) interfaces for simplified programming
  • Remote and mobile welding platforms for field deployment
Key Dataset Figures
1969
Earliest patent in dataset
2026
Most recent CN filing
4
Technology clusters identified
5
Emerging directions 2024–26
Dataset Note

This landscape is derived from a limited set of patent and literature records retrieved across targeted searches. It represents a snapshot of innovation signals within this dataset only and should not be interpreted as a comprehensive view of the full industry.

Key Technology Clusters

Four Interconnected Innovation Domains

The robotic welding patent landscape organises into four clusters that together define the architecture of modern autonomous welding cells, from perception through execution and field deployment.

Cluster 1 · Largest by filing volume

Autonomous Vision-Guided Seam Detection & Path Generation

Dominated by Path Robotics (US), this cluster combines structured-light or stereo imaging with CAD model registration to identify seam positions, evaluate welding feasibility waypoint-by-waypoint, and generate collision-free robot paths without manual teach-in. Path Robotics' 2025 US/WO filings advance real-time gap measurement along seam length using structured-light triangulation — moving beyond simple seam detection toward adaptive fill-volume control.

CAD-to-scan seam identification
Cluster 2 · Offline & online programming

Intelligent Path Planning & Multi-Pass Programming

Patents address generation, optimization, and correction of welding trajectories — from single-pass torch angle tuning to multi-pass template creation for thick-section joints. ABB Schweiz AG's EP 2022 filing identifies seams from 3D geometry models, determines welding sequence, and auto-generates robot operation procedures. Keppel Fels Limited applies H∞ feedforward control for weld profile with data-driven allocation of torch travel speed and weaving parameters for pipe-to-pipe joints.

3D geometry scheduling
Cluster 3 · Growing rapidly 2023–2025

Collaborative Robots & Simplified Human–Robot Programming

At least 10 retrieved patents from 2023–2025 address ease-of-use specifically, targeting job shops and low-volume production where full offline programming is impractical. Key innovations include smart trajectory recording that filters extraneous motion, augmented-reality torch angle overlays, intuitive seam-tracing input methods, and curved-path interpolation. Lincoln Global holds a broad, multi-jurisdiction portfolio in collaborative robot programming UIs.

AR torch angle overlay
Cluster 4 · Least-crowded high-value segment

Mobile, Crawling & Remote Welding Platforms

This cluster addresses welding scenarios where fixed robotic arms are impractical — large structural members, field construction, hazardous environments, and remote sites. Among retrieved results, only Beijing Bo Tsing and Inrotech hold active mobile-robot welding patents. Lincoln Global's remote welding system achieves 0.5–20 ms round-trip latency, enabling expert welders to operate robots more than 50 km away. Given that large-structure field welding represents a massive global labor cost, this is a strategically underpopulated space.

Magnetic crawling · 50 km remote
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Innovation Data

Patent Landscape by Assignee & Jurisdiction

Visual analysis of leading assignees and jurisdictional filing patterns derived from 80+ robotic welding patent records in the PatSnap Eureka dataset.

Top Assignees by Patent Record Count

Lincoln Global leads with 20+ records; Path Robotics holds 10+ concentrated exclusively on autonomous welding architecture.

Top Robotic Welding Assignees by Patent Record Count: Lincoln Global 20+, Path Robotics 10+, Xi'an Chishine 4+, Beijing Bo Tsing 2+, Keppel Fels 2+, ABB Schweiz 1+, Fronius 2+ Horizontal bar chart showing relative patent record counts for leading robotic welding assignees in the PatSnap Eureka dataset of 80+ records spanning 1969–2026. Lincoln Global holds the largest portfolio with 20+ records across US, EP, WO, BR, and CN jurisdictions. Lincoln Global 20+ Path Robotics 10+ Xi'an Chishine 4+ Fronius Int'l 2+ Beijing Bo Tsing 2+ ABB / Keppel 1–2 Source: PatSnap Eureka · 80+ records dataset

Patent Filings by Jurisdiction

US accounts for the largest share of filings, followed by CN, EP, and WO. CN filings dominated by universities and domestic manufacturers.

Robotic Welding Patent Filings by Jurisdiction: US largest share, followed by CN, EP, WO, with additional filings in SG, GB, AU, KR, BR Donut chart showing relative distribution of robotic welding patent filings across jurisdictions in the PatSnap Eureka dataset. US leads, with CN filings dominated by universities and domestic OEMs, EP concentrated among established automation OEMs, and WO indicating international protection strategies. 80+ records US — Largest share CN — Universities & OEMs EP — Established OEMs WO — Int'l protection SG/GB/AU/KR/BR Source: PatSnap Eureka dataset

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Innovation Timeline

From 1969 Pulsed-Arc Carriages to 2026 Digital-Twin Validation

Foundational Era (pre-2000): The earliest active welding automation patent in the dataset is a 1969 General Dynamics pulsed-arc welding carriage, defining basic current-modulation and carriage-travel control concepts. Kawasaki Heavy Industries filed a 2000 Japanese patent on welding sequence optimization for twin-torch articulated robots, already referencing combinatorial search heuristics for seam ordering.

Development Cluster (2005–2019): Italian OEM Comau S.p.A. filed multiple patents on robot-assisted remote laser welding (EP 2007, CN 2009), decoupling the laser beam direction from physical robot motion — a key productivity lever for automotive body shops. Lincoln Global's remote welding patents (first US filing 2018–2021) introduced ultra-low-latency network control (0.5–20 ms round-trip) enabling expert welders to operate robots more than 50 km away. According to the ILO, automation of skilled trades like welding is among the most significant labor market transitions in heavy industry.

Acceleration Phase (2020–2023): Path Robotics (US) filed a sustained series of autonomous welding robot patents beginning from provisional claims in February 2021, establishing CAD-to-scan seam identification as a platform architecture. ABB Schweiz AG (EP 2022) filed for automated welding sequence scheduling from 3D geometry models. Sumitomo Heavy Industries (Japan) filed WO and US applications in 2022 for trajectory generation from manual torch demonstration.

Leading Edge (2024–2026): The most recent filings cluster around cobot interface simplification (Lincoln Global, 6+ active EP/US filings 2024–2025), seam localization and gap measurement (Path Robotics, WO/US 2025), and mobile/crawling robot platforms (Beijing Bo Tsing Tech Co., Ltd., EP 2023, SG 2024). One CN filing dated February 2026 by Jiangsu Mengxing Intelligent Technology Co., Ltd. on multi-axis welding path optimization represents the most forward-dated record in the dataset.

Innovation Maturity by Era

Filing intensity mapped across four development phases in the dataset.

Robotic Welding Innovation Maturity Timeline: Pre-2000 foundational (1 unit), 2005–2019 development cluster (3 units), 2020–2023 acceleration phase (7 units), 2024–2026 leading edge (9 units of relative intensity) Line and area chart showing relative patent filing intensity across four innovation eras in robotic welding, based on 80+ records in the PatSnap Eureka dataset. Filing intensity accelerates sharply from 2020 onward. High Mid Low Pre-2000 2005–2019 2020–2023 2024–2026 Relative filing intensity · PatSnap Eureka dataset
Emerging Directions 2024–2026

Five Directions Actively Accelerating

Based on filings from 2024–2026 in the dataset, these innovation vectors are transitioning from research to patentable system architecture.

🔌

Consumable Electrode as a Geometry Sensor

Fronius International GmbH's 2025 filings (IN, CN) introduce periodic electrode-tip advance/retract cycles to scan workpiece geometry using the wire itself — eliminating the need for separate vision hardware and enabling geometry detection at the point of welding.

📐

Seam Localization and Gap Measurement at Scale

Path Robotics' May 2025 filings (US, WO) advance real-time gap measurement along seam length using structured-light triangulation — moving beyond simple seam detection toward adaptive fill-volume control.

🤖

Machine Learning Integration for Process Optimization

Deutsche Telekom AG's EP 2022 filing on AI architecture for welding robot control and Path Robotics' KR 2024 filing on machine learning logic-based coordination signal that neural-network-based parameter optimization is transitioning from research to patentable system architecture — with telecom infrastructure companies entering the space.

🔒
Unlock Emerging Directions 4 & 5
See how field-deployable autonomous systems and digital-twin-validated path optimization are reshaping the 2026 welding frontier.
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Geographic & Assignee Landscape

Who Is Building the Robotic Welding IP Stack?

Lincoln Global and Path Robotics lead a field that spans US startups, European OEMs, Japanese industrials, and a rapidly expanding Chinese academic-industrial complex.

Assignee Country Key Jurisdictions Strategic Focus Notable Filing
Lincoln Global, Inc. 🇺🇸 US US, EP, WO, BR, CN Broad platform: cobot UIs, angle correction, remote welding, simulators 20+ records — largest dataset portfolio
Path Robotics, Inc. 🇺🇸 US US, WO, CA, KR Full CAD-to-execution autonomy; seam detection platform architecture 10+ records — tightly integrated autonomous cell
Fronius International GmbH 🇦🇹 Austria IN, CN (2025) Consumable-electrode-tip scanning for workpiece geometry detection Wire-as-sensor — eliminates separate vision hardware
ABB Schweiz AG 🇨🇭 Switzerland EP (2022) Automated welding sequence scheduling from 3D geometry models Targets "huge and complex structures"
Keppel Fels Limited 🇸🇬 Singapore SG (2019, 2023) Data-driven multi-pass welding control for offshore pipe-to-pipe joints H∞ feedforward control for weld profile
Shanghai Electric Nuclear Power 🇨🇳 China GB (2018, 2023) Dual-robot nuclear-grade tube-sheet welding with inline inspection Nuclear heat exchanger fabrication precision
Xi'an Chishine Optoelectronics 🇨🇳 China US (2023, 2024), EP (2023) Hybrid mobile + multi-DOF arm systems with 3D vision Large structural part auto-welding
Beijing Bo Tsing Tech Co., Ltd. 🇨🇳 China EP (2023), SG (2024) Magnetic crawling robots for large hull and structural panel welding Rail-free operation on flat and curved surfaces
Sumitomo Heavy Industries 🇯🇵 Japan WO, US (2022) Trajectory learning from manual torch demonstration for shipbuilding Teach-by-demonstration platform
State Grid Shandong EPRI 🇨🇳 China AU (2025) On-site tower leg welding for transmission infrastructure Expert library-driven field autonomy
Deutsche Telekom AG 🇩🇪 Germany EP (2022) AI architecture for welding robot control — telecom enters welding IP Neural-network parameter optimization
🔒
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Access complete filing details, jurisdiction maps, and competitive white-space analysis for all robotic welding assignees in PatSnap Eureka.
State Grid Shandong Deutsche Telekom + freedom-to-operate signals
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Track China's rapidly expanding welding IP portfolio

Chinese assignees in this dataset range from state-owned utilities to OEMs, universities, and startups. Conduct freedom-to-operate analysis against this growing CN portfolio with PatSnap Analytics.

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Application Domains

Where Robotic Welding Innovation Is Being Deployed

Five distinct application domains emerge from the dataset, each with different technology requirements, leading assignees, and IP density profiles.

Domain 1 · Largest in dataset

Heavy Industry & Large Structural Fabrication

Encompasses shipbuilding, offshore structures, and large steel fabrication. Keppel Fels Limited's pipe-to-pipe multi-pass welding patents target offshore platform construction. Beijing Bo Tsing's crawling robots address large hull and structural panel welding. ABB's scheduling patent explicitly targets "huge and complex structures." The ISO standards for robotic welding in structural applications underpin many of the quality inspection requirements addressed in this cluster.

Shipbuilding · Offshore · Steel fabrication
Domain 2 · Precision-critical

Power & Energy Infrastructure

State Grid Shandong Electric Power Research Institute's 2025 AU filing targets on-site tower leg welding for transmission infrastructure. Shanghai Electric Nuclear Power Equipment Co. Ltd.'s tube-sheet welding system targets nuclear power heat exchanger fabrication — a precision-critical application requiring inline quality inspection. Inrotech A/S's mobile robot with remote center of motion (WO 2023) is also positioned for wind tower and offshore energy applications. See PatSnap's industry solutions for energy sector IP analysis.

Nuclear · Wind towers · Transmission
Domain 3 · Established automation

Automotive & General Manufacturing

Automotive body-in-white welding is addressed by Comau S.p.A.'s remote laser welding patents (EP 2007, CN 2009), General Motors' multi-objective path planning for spot welding (CN 2011), and Guangzhou Mino Equipment Co., Ltd.'s laser flying welding method for body-in-white (CN 2024). The Gree Zhuhai Intelligent Equipment patent on B-spline trajectory planning (CN 2023) addresses complex-curve spatial weld seams typical in component assembly.

Body-in-white · Laser flying welding
Domain 4 · Fastest-growing segment

Job Shop & Mixed-Volume Production

Path Robotics' entire patent portfolio is oriented toward autonomous operation in job shop environments where part geometry varies between batches — using CAD-to-scan matching to eliminate per-part programming. Lincoln Global's cobot systems (teach pendant, smart trajectory recording, angle correction) specifically target skilled-labor-short job shops where operators are not robotics experts. According to AWS (American Welding Society), skilled welder shortages are a primary driver of cobot adoption in job shops.

CAD-to-scan · No teach-in required
Strategic Implications

What the Patent Record Signals for R&D and IP Teams

Five strategic conclusions drawn directly from the robotic welding patent dataset for product developers, IP strategists, and R&D leaders.

⚔️

Autonomous Seam Detection Is the Platform Battleground

Lincoln Global and Path Robotics are building competing platform architectures — one centered on cobot-human collaboration with guided programming, the other on full CAD-to-execution autonomy. R&D teams must choose an integration path, as these architectures require different sensor suites, compute stacks, and operator workflows. Explore competitive positioning with PatSnap customer case studies.

🔓

The Cobot Programming Barrier Is Being Systematically Dismantled

At least 10 retrieved patents from 2023–2025 address ease-of-use specifically. IP strategists should note that Lincoln Global holds a broad, multi-jurisdiction portfolio in collaborative robot programming UIs; white-space opportunities exist in the integration of these UIs with third-party vision systems.

🚢

Mobile Platforms: Least-Crowded High-Value Segment

Among retrieved results, only Beijing Bo Tsing and Inrotech hold active mobile-robot welding patents. Given that large-structure field welding (shipbuilding, wind towers, pipelines, transmission infrastructure) represents a massive global labor cost, this is a strategically underpopulated space relative to its economic scale.

🧠

AI-Based Process Control Is Entering the Patent Record

With Deutsche Telekom, Path Robotics, and Chinese academic assignees all filing ML-architecture welding patents, product developers should anticipate that AI-driven parameter optimization will become a baseline feature expectation within 2–3 product cycles — and begin IP positioning now. Access PatSnap's open API for automated monitoring.

Frequently asked questions

Robotic Welding Technology — key questions answered

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References

  1. On-site Automatic Welding Method and System for Tower Leg of Power Transmission Tower — State Grid Shandong Electric Power Research Institute, 2025, AU
  2. Generating Simulated Weld Paths for a Welding Robot — Path Robotics, Inc., 2023, US
  3. Robot with Smart Path Planning for Multiple Parts — Lincoln Global, Inc., 2024, US
  4. Method and System for Robotic Multi-Pass Welding for Filling Complex Geometry Using Weld Profile Control with Data-Driven Fast Input Allocation — Keppel Fels Limited, 2023, SG
  5. Simplified Robotic Welding Using Traced Profile, and Robotic Welding System — 649119 N.B. Inc., 2024, US
  6. A Robot Welding System and Its Welding Method — Shanghai Electric Nuclear Power Equipment Co., Ltd., 2023, GB
  7. Hybrid Robot and Three-Dimensional Vision Based Large-Scale Structural Part Automatic Welding System and Method — Xi'an Chishine Optoelectronics Technology Co., Ltd., 2023, EP
  8. Weld Angle Correction Device — Lincoln Global, Inc., 2025, US
  9. Weld Angle Correction Device with Augmented Reality Display — Lincoln Global, Inc., 2023, EP
  10. Collaborative Robot Welding System — Lincoln Global, Inc., 2024, US
  11. Crawling Welding Robot and Control Method Thereof — Beijing Bo Tsing Tech Co., Ltd., 2023, EP
  12. Systems and Methods for Real Time, Long Distance, Remote Welding — Lincoln Global, Inc., 2022, US
  13. Autonomous Welding Robots — Path Robotics, Inc., 2022, US
  14. Techniques for Seam Localization and Gap Measurement — Path Robotics, Inc., 2025, US
  15. Method and Apparatus of Scheduling Welding Operations — ABB Schweiz AG, 2022, EP
  16. WIPO — World Intellectual Property Organization: Robotics and Advanced Manufacturing Patent Trends
  17. ILO — International Labour Organization: Automation and the Future of Skilled Trades
  18. ISO — International Organization for Standardization: Robotic Welding Standards
  19. AWS — American Welding Society: Welder Shortage and Cobot Adoption Research

All data and statistics on this page are sourced from the references above and from PatSnap's proprietary innovation intelligence platform. Patent records retrieved via PatSnap Eureka. This landscape represents a snapshot of innovation signals within the retrieved dataset only and should not be interpreted as a comprehensive view of the full industry.

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