Autonomous Brick Laying Robots: Patent Landscape 2026
Autonomous Brick Laying Robot Patents 2026
Autonomous brick laying robotics combines precision manipulation, computer vision, and BIM-integrated planning across 70+ patent and literature records spanning 1991–2026. Vehicle-mounted boom systems, mason-collaborative platforms, and AI-guided compact robots define the current IP frontier.
From Industrial Furnace Lining to AI-Guided Construction Robots
Autonomous brick laying technology encompasses robotic systems capable of picking, positioning, bonding, and quality-checking individual masonry units without continuous human intervention. The field is structured around four interacting subsystems: mobile platforms for site mobility, articulated or telescoping manipulation arms, sensing and positioning systems, and adhesive or mortar dispensing heads.
The dataset spans 70+ records across patent filings in AU, US, EP, CA, IN, CN, WO, SA, and GB jurisdictions, plus academic and review literature, covering the period 1991–2026. The dominant technical paradigm shift visible in this dataset is from fixed industrial bricklaying installations in the 1990s toward mobile, vehicle-mounted, and AI-guided outdoor construction robots in the 2010s and 2020s.
The newest filings from 2024 to 2026 introduce AI imaging units, LiDAR-based surface mapping, and cloud-connected monitoring. India has emerged as the most active jurisdiction by raw filing count in this dataset for the 2024–2026 period, driven by university and startup inventors filing provisional or pending applications integrating reinforcement learning and BIM-to-placement pipelines.
In this dataset, Fastbrick IP Pty Ltd (Australia) holds approximately 25 patent records across 9+ jurisdictions — roughly one-third of all patent records retrieved in this dataset — making it the most prolific assignee. Goldwing Nominees Pty Ltd holds the foundational patent family from which Fastbrick’s portfolio descends, while Construction Robotics LLC and Guangdong BoZhiLin Robot Co., Ltd. represent distinct commercial architectures.
Filing Trends and Technology Cluster Distribution
Analysis of the retrieved dataset reveals a clear concentration of commercially active patents around vehicle-mounted telescoping boom systems and a rapid expansion of AI-guided compact platform filings in 2024–2026. Filing activity spans four distinct technology clusters with varying IP density and commercial maturity.
Top Assignees by Patent Record Count (Dataset Snapshot)
In this dataset, Fastbrick IP Pty Ltd accounts for approximately 25 records — roughly one-third of all retrieved records — followed by Guangdong BoZhiLin Robot Co., Ltd. with ~5 records and Paul Wurth S.A. with ~5 records.
↗ Click bars to exploreFiling Activity by Phase — Autonomous Brick Laying Technology (Dataset Snapshot)
In this dataset, filing activity accelerated sharply in the AI-Integration phase (2024–2026), with approximately 18 records, compared to ~15 records in the Maturation phase (2019–2023) and ~10 in the Platform Expansion phase (2009–2018).
↗ Click bars to exploreKey Application Domains in Autonomous Brick Laying Robotics
The retrieved dataset covers four distinct application domains ranging from residential and commercial building construction to industrial furnace lining, municipal pavement laying, and multi-robot collaborative research platforms. Each domain is addressed by architecturally distinct robotic systems from named assignees.
Residential and Commercial Buildings
The primary target market across the dataset. Fastbrick IP’s vehicle-mounted telescoping boom system and Construction Robotics’ SAM platform are explicitly designed for exterior and interior walls of single- and multi-story buildings. Guangdong BoZhiLin Robot Co., Ltd.’s CN-jurisdiction patents (2020–2023) specifically address interior wall construction in residential buildings with narrow doorways, introducing a switchable walking/bricklaying posture.
Construction AutomationIndustrial Enclosure and Furnace Lining
The earliest application domain in the dataset. Paul Wurth S.A. (Luxembourg) developed fully automated installations for lining the refractory brickwork of metallurgical converters and industrial enclosures, with patents filed as early as 1991 and 1994 in US, CA, and GB jurisdictions. These fixed, task-specific systems deployed depalletizing modules, lifting modules, and platform-mounted brick-laying robots for hazardous relining tasks.
Industrial AutomationMunicipal Infrastructure Pavement Laying
Two CN-jurisdiction patents from Beijing ZhongSheng RuiTong Electric Power Engineering Co., Ltd. (2016 and 2018) address robotic pavement brick laying for municipal sidewalks. These systems use a delta parallel mechanism and vacuum suction device mounted on a tracked and wheeled composite vehicle platform, targeting urban infrastructure maintenance applications.
Municipal InfrastructureMulti-Robot Collaborative Construction Research
Academic literature from the MBZIRC 2020 robotics competition documents UGV-UAV teams performing autonomous wall construction in unstructured outdoor environments using LiDAR, GPS-RTK, and visual servoing. The Chinese University of Hong Kong filed US patents in 2020 and 2021 for a cable-driven robot approach targeting large-dimension brick structures impractical with conventional arms.
Research PlatformLeading Patent Assignees in Autonomous Brick Laying — Dataset Snapshot
In this dataset, Fastbrick IP Pty Ltd (Australia) is the most prolific assignee with approximately 25 patent records across 9+ jurisdictions, representing roughly one-third of all retrieved records in this dataset. Guangdong BoZhiLin Robot Co., Ltd. (China) holds approximately 5 CN-jurisdiction records targeting interior residential masonry, while Construction Robotics LLC (US) holds 3–4 US records covering the SAM semi-autonomous system.
Top Assignees by Patent Records — Autonomous Brick Laying in Retrieved Records
↗ Click bars to exploreFastbrick IP Pty Ltd
Fastbrick IP Pty Ltd (Australia) holds approximately 25 patent records in this dataset spanning AU, US, EP, CA, IN, WO, SA, and CN jurisdictions — the largest portfolio by any single assignee in retrieved records. Key patent families include the vehicle-incorporated brick/block laying machine (WO 2018, US 2021, EP 2021), robotic block laying machine improvements (WO 2023, AU 2024, US 2025), and two new block laying robot and robotic block laying machine WO families filed in 2024 claiming priority from 2022–2023 Australian provisional applications. AU pending applications filed in May 2025 confirm active global prosecution.
AustraliaGuangdong BoZhiLin Robot Co., Ltd.
Guangdong BoZhiLin Robot Co., Ltd. (China) holds approximately 5 CN-jurisdiction records in this dataset filed between 2020 and 2023. The portfolio specifically addresses interior wall construction in residential buildings with narrow doorways, introducing a switchable walking/bricklaying posture to navigate confined spaces. Records include bricklaying robot patents (CN 2020, 2021, 2022), a tile-laying robot with control method (CN 2021), and a masonry method with bricklaying robot and storage medium (CN 2023).
China — CNNext-Generation Trends in Autonomous Brick Laying IP
The 2024–2026 filing cohort introduces a distinct set of AI-driven and sensor-integrated architectures not present in earlier generations. Four emerging directions are traceable in this dataset: next-generation block laying machine platform improvements, AI-powered BIM-to-placement pipelines, LiDAR-integrated surface mapping, and brick quality inspection at point of use.
Next-Generation Robotic Block Laying Machine Architecture
Fastbrick IP filed two new patent families in WO jurisdiction in 2024 — Block Laying Robot and Robotic Block Laying Machine — both claiming priority from October 2022 and August 2023 Australian provisional applications. Concurrent AU pending applications filed in May 2025 confirm active global prosecution of a new generation of the Hadrian platform with structural machine improvements. These filings signal iterative productization of an already commercially deployed architecture.
AI-Powered BIM Pipeline and Reinforcement Learning Placement
The AI-based robotic bricklaying system (IN, 2025, Ms. Sakshi Sahu) is the first filing in this dataset to explicitly claim a full BIM-to-placement pipeline via reinforcement learning, real-time computer vision, and cloud analytics. A concurrent filing, Robotic arm system for precision bricklaying (Annapoorana Engineering College, IN, 2025), integrates civil engineering BIM with robotic precision control. These represent the first explicit claims on adaptive site learning in the dataset.
Vehicle-Mounted Boom vs. Mason-Collaborative Semi-Autonomous Systems
Click any row to explore further.
| Dimension | Vehicle-Mounted Telescoping Boom (Fastbrick IP) | Mason-Collaborative Semi-Autonomous (Construction Robotics LLC) |
|---|---|---|
| Primary Assignee | Fastbrick IP Pty Ltd (Australia) | Construction Robotics LLC (United States) |
| First Filing | WO 2018 (vehicle-incorporated machine); foundational architecture from Goldwing Nominees WO 2007 | US 2012 (Brick Laying System) |
| Platform Architecture | Self-contained machine on truck chassis with telescoping boom, transfer carousel, and linearly moving shuttles | Moveable platform carrying robotic arm assembly, mortar applicator, and brick transfer device proximate to working mason |
| Human Role | Fully autonomous operation from vehicle perimeter; no continuous human intervention required | Mason works alongside platform for quality oversight; heavy lifting eliminated but mason role preserved |
| Positioning System | Real-time measuring system with tracker component mounted about a horizontal axis on the laying head | Disturbance sensing and correcting stabilizer compensating for platform movement, wind, and load shifts |
| Patent Records (Dataset) | ~25 records across AU, US, EP, CA, IN, WO, SA, CN | 3–4 US records (2012, 2015) |
| Jurisdiction Reach | Multi-jurisdictional: AU, US, EP, CA, IN, WO, SA, CN | US domestic filings only in retrieved records |
| Target Application | Exterior and interior walls of single- and multi-story buildings; large-scale outdoor construction | Residential and commercial masonry walls; mason-collaborative outdoor construction |
Frequently Asked Questions: Autonomous Brick Laying Robot Patents
In this dataset, Fastbrick IP Pty Ltd (Australia) is the most prolific assignee with approximately 25 patent records across AU, US, EP, CA, IN, WO, SA, and CN jurisdictions — representing roughly one-third of all patent records retrieved.
The foundational patent family was filed by Goldwing Nominees Pty Ltd, with a WO filing in 2007 and EP, AU, and IN filings in 2008. This family introduced a robot with a brick laying and adhesive applying head, a real-time measuring system, and course-by-course construction logic. Fastbrick IP Pty Ltd’s portfolio descends from this architecture.
The dataset identifies four clusters: (1) Vehicle-Mounted Telescoping Boom Systems (Fastbrick IP); (2) Robotic Arm with Real-Time Measurement and Adhesive Head (Goldwing/Fastbrick); (3) Mason-Collaborative Semi-Autonomous Systems (Construction Robotics LLC); and (4) AI/Vision-Guided Compact Mobile Platforms (predominantly 2024–2026 Indian assignees).
The volume of Indian filings (2024–2026) is driven by university and startup inventors filing provisional or pending applications integrating AI imaging units, LiDAR sensors, reinforcement learning, and BIM pipelines. However, these lack the multi-jurisdictional legal depth of Fastbrick IP’s commercially active portfolio and most are pending applications from academic assignees without demonstrated commercial deployment.
The earliest patent in this dataset was filed by Paul Wurth S.A. (Luxembourg) in 1991 (US jurisdiction) for an automated bricklaying apparatus, specifically designed for lining the refractory brickwork of metallurgical converters and industrial enclosures.
Based on this dataset, no commercial patent families for multi-robot brick laying cooperation appear in the retrieved records. Academic literature from the MBZIRC 2020 competition documents UGV-UAV team approaches using LiDAR, GPS-RTK, and visual servoing, but this remains a research-stage white space with no commercial patent families identified in this dataset.
Data and insights on this page are based on a limited patent and literature dataset and are for reference only. Figures may not represent the complete technology landscape.