Vietnam’s VCCA 2026 spotlights robots and AI for factory floors, with 150-plus research papers drawing industry interest

Robots and artificial intelligence took center stage July 16–18, 2026, as Vietnam hosted its eighth Vietnam International Conference and Exhibition on Control and Automation, known as VCCA 2026, at Quy Nhon University in the country’s Gia Lai province.

Organizers said the event brought together hundreds of scientists, companies and experts around automation, robotics and AI—framed not as distant research topics but as tools meant to work in real industrial settings, from process control to maintenance.

With more than 150 research papers highlighted by organizers, the conference also underscored a familiar challenge for fast-industrializing economies: moving quickly on “intelligent” systems while building the skills, safety standards and compatibility needed to plug new technology into existing production lines.

VCCA 2026 opens July 16 at Quy Nhon University

The July 16 opening at Quy Nhon University positioned VCCA 2026 as an institutional gathering point for Vietnam’s control-and-automation ecosystem. As the eighth edition, it drew a mix of researchers, labs, engineering schools and industrial players.

The format combined technical presentations, an exhibition and working-level discussions—an approach designed to circulate results, validate prototypes and spark partnerships.

Organizers said the conference assembled more than 150 research papers, pushing it beyond the feel of a typical tech expo. Topics spanned process optimization, control of complex systems, sensor-based perception and integrating AI modules into industrial architectures—where reproducibility, datasets and the ability to move from lab to constrained environments often matter as much as the algorithm itself.

With companies and experts attending from Vietnam and abroad, the conversations also turned practical: sensor costs, durability in dusty or humid conditions, parts availability, and compatibility with existing programmable controllers. That set up a recurring debate—how to adopt modern approaches quickly without increasing the risk of production stoppages.

The opening remarks were attributed to Nguyen Quan, a former minister of science and technology and president of the Vietnam Automation Association, who emphasized the community’s determination to support national innovation and digital transformation. The message framed robotics and AI as part of industrial policy, tied to competitiveness and the upgrading of technical jobs—an especially pointed theme on a university campus where research, training and industrial use intersect.

Vietnam Automation Association and ministries shape the conference’s governance

VCCA 2026 was chaired by the Vietnam Automation Association, with institutional sponsorship that included Vietnam’s Ministry of Science and Technology, the Ministry of Industry and Trade, and the Ministry of Education and Training.

In practice, that governance structure aims to align three agendas at once: research, industrialization and workforce development. The theme—“Intelligent Automation, A Strategic Technology of the Digital Age”—signaled a focus on cross-cutting technologies meant to feed multiple sectors.

The goal, as described in the source article, wasn’t simply to produce demos. Government agencies and professional associations often look for measurable outcomes such as pilot projects, best-practice sharing, technical standards and cooperation networks. In a country where many factories operate a mix of newer equipment and older machines, gradual integration becomes a prerequisite for scaling—raising questions about industrial cybersecurity, data traceability and predictive maintenance, areas where AI can help but where risk assessment remains central.

The role given to education institutions—through the Ministry of Education and Training—also reflected a bottleneck that shows up quickly in automation: skills. Companies are looking for people who can configure robots, develop models, manage industrial networks and maintain systems. Conferences like VCCA can also serve as a bridge between schools and shop-floor needs, shaping coursework, internships and thesis topics aimed at industrial deployment.

At Quy Nhon, the university setting supported that exchange. Labs could show test platforms, while industrial participants could identify teams to work on local adaptations such as improving energy efficiency on a line, boosting defect detection, or reducing scrap through stronger machine vision.

Robots, AI and “intelligent automation” dominate the technical agenda

Available reporting on VCCA 2026 put robots and artificial intelligence at the heart of the event, with a heavy emphasis on intelligent automation. In industrial terms, that can mean adding perception and decision-making to existing systems—such as pairing a camera with a detection model to flag anomalies, or using learning modules to adjust production parameters in real time.

It can also refer to more integrated setups: mobile robots in warehouses, automated sorting, or reconfigurable robotic cells.

Moving from classic automation to “intelligent” automation often requires hybrid systems. Programmable controllers remain the backbone at many sites, while software layers add data collection, dashboards, predictive models and task orchestration. In that model, AI isn’t a replacement—it’s meant to improve quality, safety and uptime. That’s why technical discussions often focus on robustness, false positives in vision systems, model drift and the quality of sensor data.

Robotics brings its own field constraints: maintenance, parts availability, operator safety and human-machine interaction. Collaborative robots, for example, require careful risk analysis and integration to avoid unnecessary shutdowns. Mobile robots depend on reliable mapping and traffic-zone management. At a conference that mixes research and industry, those become productive friction points—where a paper may propose a planning method and an industrial participant presses on lighting variation or performance on uneven floors.

The scale of the program—more than 150 communications—also suggested a competition of ideas, with teams trying to show gains in accuracy, compute time or energy use. But peer evaluation and comparisons on concrete use cases remain decisive, especially given the less-visible challenge of interoperability: making software from different vendors work together, connecting heterogeneous sensors and maintaining a coherent data chain.

Companies and researchers pressure-test the leap from lab to factory

VCCA 2026 also emphasized the presence of many companies and experts, a key marker for judging how mature the work is. Purely academic conferences can produce high-level results without immediate pathways to deployment, while trade shows can tilt toward marketing. By combining both formats, VCCA created a setting for cross-validation: researchers presented methods, and industrial participants challenged them on acceptable latency, implementation cost, safety requirements and the ability to run continuously.

The gap between prototype and production often comes down to details. A vision model can score well in controlled conditions but lose performance because of glare, vibration or slightly different parts. A predictive-maintenance algorithm can look promising but require historical data a company doesn’t have—or sensors that aren’t installed. That pushes discussions toward infrastructure: industrial networks, timestamp quality and data governance, where industrial AI quickly runs into missing or noisy data.

Companies also want assurances about operational continuity. Intelligent systems need degraded modes, documented parameters and restart procedures. Integrators look for modular architectures that can evolve. One practical upside of a conference like VCCA is partner-matching—labs for proof-of-concept work, companies for pilot sites, and universities for training—potentially speeding adoption without forcing abrupt changeovers.

Economically, automation is typically pursued for measurable targets: higher throughput, less scrap, reduced downtime and improved safety. The source article notes that some of the fastest gains can come from better supervision and maintenance planning even before adding more robots—an argument for a step-by-step approach that fits budget and skills constraints while leaving open the question of how quickly adoption can spread.

Frequently asked questions

What is VCCA 2026 and where was it held? VCCA 2026 is the eighth Vietnam International Conference and Exhibition on Control and Automation. It was held July 16–18, 2026, at Quy Nhon University in Gia Lai province, combining talks, exchanges and an automation-focused exhibition.

What themes dominated VCCA 2026, according to organizers? Robotics, artificial intelligence and intelligent automation, under the official theme “Intelligent Automation – A Strategic Technology of the Digital Age,” with an emphasis on industrial uses and digital transformation.

How many research works were announced at VCCA 2026? Organizers said the conference brought together more than 150 research papers, presented in a setting that mixed academic contributions with company participation.

Which institutions oversaw the conference? VCCA 2026 was chaired by the Vietnam Automation Association and described as being under the sponsorship of Vietnamese institutions including the Ministry of Science and Technology, along with other ministries tied to industry and education.

Sources

Les robots et l'IA seront au cœur de VCCA 2026.
Robots and AI become the focus at VCCA 2026.
La robotique, l'IA et les technologies stratégiques …
VCCA 2026 réunit une foule d'experts en robotique …
VCCA 2026 brings together a host of experts in robotics, AI, …