Aformic Inc.
US subsidiary of Poland's AIUT Group, providing AMR vehicles and QURSOR fleet management software for intralogistics in manufacturing and warehousing.
Aformic Inc. is a US-based autonomous mobile robot (AMR) solutions company headquartered at 140 Congress Blvd, Suite G, Duncan, SC 29334, USA. The company is a subsidiary of AIUT, one of Europe's largest integrators of robotics and automation solutions, headquartered in Poland with over 30 years of industrial engineering expertise. Aformic was established as AIUT's local US engineering center to provide real-time technical support, development, and lifecycle assistance to North American customers.
Aformic's integrated intralogistics offering consists of two core components: a proprietary fleet of Formica autonomous mobile robots (F-series, including the F12 low-profile AMR and F3 compact model), and the QURSOR fleet management platform. QURSOR is a real-time fleet orchestration system that connects all deployed mobile units, coordinates their movements based on production priorities, and integrates seamlessly with Manufacturing Execution Systems (MES/ERP) and Warehouse Management Systems (WMS). The F12 AMR is an extra-safe, low-profile vehicle designed for flat material transport in manufacturing and warehouse environments, featuring natural navigation technology that eliminates the need for floor markers or reflectors.
Aformic joined the Association for Advancing Automation (A3) in 2023 and participates in major industry events including the Automate show. The company markets itself as a complete turnkey AMR solution provider—from vehicle hardware to software orchestration to post-deployment support. Phone: +1 (864) 520-8900. Aside from its own branded robots, Aformic also partners with third-party automation system integrators such as Automation Controls and Engineering LLC to expand reach of the QURSOR fleet intelligence platform.
The AIUT parent group's backing gives Aformic access to deep robotics engineering resources across Europe, accelerating product development and enabling enterprise-grade SLA commitments for US manufacturers. The company's solution has been recognized as among the most innovative logistics and manufacturing automation products introduced to the Polish market in 2023.
Primary type & automation activities this supplier delivers:
AFORMIC F12 AMR
Extra-safe, low-profile autonomous mobile robot for unmanned flat-load transport in manufacturing and warehousing.
QURSOR Fleet Management System
Real-time AI-powered fleet orchestration software coordinating all Aformic AMR units and integrating with MES/ERP/WMS systems.
Contact Aformic Inc.
WEBSITE
https://www.aformic.comPHONE
+1 864-520-8900HEADQUARTERS
United States
Company Facts
Founded
-
Primary Role
Manufacturer
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
-
Maven Robotics Secures $100 Million in Series A Funding to Innovate Industrial Automation
Maven Robotics has officially launched with $100 million in Series A funding, taking a unique technological approach by utilizing a wheeled chassis combined with dual arms to tackle monotonous palletizing tasks in warehouse logistics. CEO Hamza Derbas stated that bipedal robots are 'meaningless' in industrial scenarios due to their complexity, unreliability, and added costs. The company's wheeled robots can achieve a speed of 10 miles per hour and lift loads of up to 30 kilograms, maintaining a 99% operational rate for 16 hours a day in customer warehouses. This design prioritizes stability, efficiency, and maintainability over biomimetic forms, aligning with the core demands of industrial environments. Maven's understanding of 'task closure' positions it not merely as a robot supplier but as a provider of end-to-end automation solutions. Looking ahead, Maven aims to accumulate over 100,000 hours of autonomous operation data by the end of the year, with a goal of surpassing 1 million hours by 2027. This pragmatic approach underscores the belief that the evolution of industrial intelligence relies on consistent performance in real production lines rather than the allure of impressive demonstration videos.
Warehouse Automation Robotics Industrial Automation Logistics Technology
Addressing Workflow Gaps in Automation Projects for Improved Efficiency
In manufacturing plants, workflows often diverge between documented procedures and actual practices on the floor. This discrepancy leads to automation projects stalling, as the systems implemented follow the documented version, while undocumented exceptions continue to operate as usual. For instance, a scheduling or pricing call may rely on a single trusted individual, with no formal documentation outlining the approval process. The significance of addressing these gaps cannot be overstated. When automation is applied without considering these exceptions, they simply shift to informal channels like email or spreadsheets, creating new bypasses that undermine the intended efficiency. To mitigate this issue, it is crucial to identify and document these exceptions before scoping automation projects. To effectively capture these gaps, conducting a tabletop walkthrough can be beneficial. By having an employee unfamiliar with the workflow explain the process step by step, it becomes easier to identify points of confusion or undocumented approvals. These insights should be incorporated into the requirements document to ensure that automation is aligned with the actual workflow, thereby enhancing operational efficiency.
Process / Digital Transformation
Manufacturers Shift Focus from Data Visibility to Actionable Insights
Manufacturers have invested years in enhancing operational visibility through connected machines and advanced analytics. Despite this, the plant floor continues to struggle with problem resolution due to a disconnect between identifying issues and taking corrective action. For instance, when a machine malfunctions, delays in communication and decision-making can lead to significant downtime and financial losses. This challenge is particularly pressing as manufacturers face tighter profit margins and labor shortages, necessitating more efficient use of existing assets. The traditional approach of merely collecting data is insufficient; manufacturers require technology that translates information into actionable steps. Current manufacturing software primarily records historical data, which does not meet the immediate needs of technicians on the floor. Looking ahead, there is a critical need for manufacturing operations software to evolve beyond data storage and visualization. It should facilitate operational coordination by linking equipment signals with the necessary workflows and resources for timely responses. The focus must shift from visibility alone to enabling decisive action in real-time.
Factory / Digital Transformation
Vention Launches Montreal AI Lab to Enhance Industrial Robotics Capabilities
Vention has inaugurated a physical AI research lab in Montreal aimed at advancing robotic manipulation for manufacturing applications. The lab, directed by Jimmy Li and advised by Joelle Pineau, will leverage industrial data and customer insights to develop scalable robotic systems. With a focus on real-world production challenges, the lab aims to create technologies that enhance reliability and reduce costs in automation. This initiative is significant as Vention's physical AI segment has seen a remarkable 400% revenue increase over the past year, indicating a growing demand for advanced automation solutions. The lab's unique approach integrates academic research with practical production feedback, allowing for rapid development and testing of new robotic systems. This model positions Vention to address complex manufacturing tasks that have traditionally been difficult to automate. Looking ahead, Vention's Montreal lab is expected to expand its team and generate new intellectual property. The company plans to release a public software development kit for its GRIIP manipulation pipeline, which breaks down robotic tasks into manageable stages. No further timeline was disclosed at the time of publication.
AI AI Funding & Investment Robotics Canada.Montreal computer vision industrial robotics
Tactile Sensing Technology Sees Significant Growth in Robotics Sector
Tactile sensing technology is gaining prominence in the robotics industry as humanoid robots transition from exhibition spaces to factory floors. Since 2026, funding in the tactile sensing sector has exceeded 7 billion yuan, with the penetration rate of tactile sensors in commercial humanoid dexterous hands rising from 20% to over 60% this year. This rapid growth is notable within the robotics components sector, highlighting a shift in robotic applications. While visual-language-action models have enhanced robots' environmental understanding and task planning, precision assembly and flexible grasping require tactile feedback for effective force control and slip detection. According to Qianjue Robotics founder Ma Daolin, tactile sensing is essential for high-precision industrial operations. The evolution of technology supports this need, as Qianjue Robotics' VTLA model integrates tactile modalities into traditional frameworks, enabling real-time perception of deformation, texture, and force distribution during contact. Their comprehensive tactile solution expands sensing from fingertips to palms, achieving a sensor density of 125 points per square centimeter and a force accuracy of 0.03 Newtons. As hardware costs decrease and data accumulation accelerates, tactile sensing is becoming a necessary capability in real-world operational scenarios.
Tactile Sensors Humanoid Robots Robotics Technology Industrial Automation
Fanuc and Google Collaborate on AI-Driven Welding Robots for Enhanced Automation
Japanese industrial automation firm Fanuc has partnered with Google to create an AI-automated welding system. This innovative solution utilizes robots equipped with artificial intelligence that can interpret blueprints directly, thus removing the need for manual programming. Deliveries of this advanced system are expected to commence in December 2026. This collaboration is significant as it represents a leap forward in automation technology, potentially streamlining manufacturing processes and improving efficiency in welding tasks. By enabling robots to read blueprints autonomously, Fanuc and Google aim to reduce labor costs and enhance productivity in industrial settings, which is crucial for maintaining competitiveness in the global market. Looking ahead, industry stakeholders should monitor the rollout of this AI-driven welding system, particularly its impact on manufacturing workflows and labor dynamics. The anticipated deliveries in December will be a key milestone, and the performance of these robots in real-world applications will be critical to assessing their effectiveness and adoption in various sectors.
The Need for New Automation Architecture in AI Factories
The rise of AI factories is transforming the landscape of industrial automation, necessitating a new architectural approach. Unlike traditional enterprise data centers, AI factories feature significantly higher rack densities, dynamic workloads, and increased power consumption, with rack-scale systems drawing over 120 kW. This shift requires integrated process control and automation strategies to manage complex cooling and power demands effectively. As AI workloads are highly dynamic, the operational challenges faced by AI factories are distinct from those of conventional data centers. Traditional control architectures are inadequate for the rapid fluctuations in power and cooling needs, leading to alarm flooding and maintenance difficulties. Organizations that adapt to these challenges through innovative strategies will gain a competitive edge in the evolving market. Looking ahead, the execution of AI projects is accelerating, with high investments and the urgency to be first to market. This environment compels project teams to finalize designs concurrently with construction, adapting to ongoing changes in equipment availability and supply chain issues. The successful navigation of these complexities will define the future of AI factory operations.
Vention Launches New Physical AI Lab in Montreal to Enhance Manufacturing Robotics
Vention Inc. has inaugurated its Physical AI Lab in Montreal, focusing on robotic manipulation in manufacturing. This facility aims to generate high-quality data essential for training AI models that control next-generation robots. According to CEO Etienne Lacroix, the lab leverages Vention's extensive experience with hundreds of robot cells to enhance the capabilities of physical AI. The establishment of the lab is significant as it addresses the growing demand for reliable and economical automation solutions in manufacturing. Vention's technology stack, which includes hardware, software, and physical AI, has already been deployed in over 28,000 machines globally, including in 90 of the Fortune 500 companies. The lab's unique approach combines academic research with real-world production challenges, allowing for rapid advancements in AI capabilities. Looking ahead, Vention aims to validate new AI capabilities against the practical requirements of production lines, with a focus on complex manufacturing tasks. No further timeline was disclosed at the time of publication. The integration of industry feedback into the research process is expected to accelerate the development of effective automation solutions.
Arms / Manipulators Artificial Intelligence Artificial Intelligence / Cognition Assembly Automotive Cameras / Imaging / Vision
Inbolt's Robotics Solutions Address Precision Challenges in Electronics Manufacturing
Inbolt is addressing the growing need for automation in electronics manufacturing, particularly in the assembly of complex data center infrastructure. With their control platform, which includes CAD-based programming and real-time control, Inbolt has installed over 200 robot arms across more than 100 factories, powering over 40 million robot cycles last year. The shift towards AI server racks has created a demand for more precise robotic solutions, as traditional manual assembly methods struggle with the complexities of modern electronics. Inbolt's technology aims to increase automation from 20-30% to 90%, focusing on the precision required for tasks like screw driving and cable routing, which are critical in preventing costly errors. As the electronics industry evolves, Inbolt's advancements in robotics will be crucial for meeting the challenges of high-voltage safety and ergonomic handling. The ability to adapt to frequent design changes and maintain high precision will be key factors to watch in the future of electronics assembly automation.
Vention Launches Leading Physical AI Lab in Montreal for Industrial Robotics Advancement
Vention has inaugurated Canada's premier Physical AI and industrial robotics lab in Montreal, aimed at enhancing robotic manipulation through the integration of advanced AI research into scalable manufacturing solutions. This initiative is significant as it focuses on applied manufacturing use cases, industrial data collection, and the development of post-training foundation models for robotics, leveraging existing intellectual property while generating new innovations. Looking ahead, stakeholders should monitor the lab's progress in bridging AI research with practical manufacturing applications. No further timeline was disclosed at the time of publication.
WRC 2026 Robot Systems: 149 Companies That Build Robots
149 of the 248 classified WRC 2026 exhibitors build finished robots. 93 build humanoid or legged machines. The audited humanoid sales number is one unit.
Springer Handbook of Robotics B. Siciliano & O. Khatib (eds.) — RSF Top 10 Robot Education Textbooks · No. 10
Eighty-plus chapters, 2,300 pages, nobody reads it cover to cover. It ranks for one reason: when a fault crosses domains, this is the reference of record.
Autonomous Mobile Robots Siegwart, Nourbakhsh & Scaramuzza — RSF Top 10 Robot Education Textbooks · No. 3
AMR and AGV fleets are the biggest robot service market. Siegwart decodes the vendor manual: odometry, localization, cost maps.
Robotics, Vision and Control Peter Corke — RSF Top 10 Robot Education Textbooks · No. 5
Most books you read; Corke's you run. Every concept ships as executable Python via the open Robotics Toolbox. The code softens the maths.
Big Joe's Four-Product AMR Push at Automate 2026: What It Reveals About the North American Warehouse Automation Market
RobotToday analyzes Big Joe's four new autonomous vehicles launched at Automate 2026 — AP44, ASC40, ATC100, ACV40 — in the context of North America's warehouse labor shortage and AMR market growth.
Piaggio Fast Forward Brings kilo® Autonomous Mobile Robot to Automate 2026
Piaggio Fast Forward showcases kilo®, an infrastructure-free collaborative AMR (300 lb payload, 360° LiDAR), at Automate 2026 booth #17054.
When a Materials Giant Meets Robotics: Covestro at Automate 2026
At Automate 2026, Covestro brought Makrolon, Bayblend, Baysafe BEF and Vulkollan to robotics — tackling weight, heat, sensing and sustainability for humanoids and AGV/AMRs.
Vietnam Robotics Industry Report 2026
Comprehensive analysis of Vietnam's robotics industry: market size, industrial policy, key companies (Vingroup, Apicoo, Phenikaa-X), geopolitical dynamics, and 2030 growth opportunities.
CIIF 2026 | China International Industry Fair | Oct 12–16, Shanghai | CIROS Robot Show
CIIF 2026 — the 26th China International Industry Fair — takes place October 12–16 at Shanghai NECC. 10,000+ exhibitors, 280,000 sqm, including the CIROS Robot Show covering industrial robots, AMR, cobots, and intelligent manufacturing.
GLOBAL ROBOTICS INDUSTRY Comprehensive Sector Overview
A comprehensive global robotics industry overview for 2025, analyzing 14 key market segments — from industrial and humanoid robots to logistics AMRs, military systems, and service robots — with expert market sizing, US case studies, five-year forecasts, and bilingual English-Chinese analysis for executives and investors.
