30 March 2026 | Interaction | By Editor Robotics Business NEWS <editor@rbnpress.com>
As robotics and edge AI systems grow more complex and distributed, semiconductor innovation is rapidly shifting from standalone components to integrated system architectures. In this exclusive conversation with Robotics Business News, Hao Wang, Senior Marketing Manager at GigaDevice, shares how the company is positioning itself at Embedded World 2026 to support next-generation humanoid robotics, industrial automation, and intelligent edge applications through a unified, system-level approach.
What strategic objectives is GigaDevice aiming to achieve through its expanded presence at Embedded World 2026?
At Embedded World 2026, GigaDevice is presenting a broader and more application-oriented vision for intelligent embedded systems. Our goal is not only to showcase individual semiconductor products, but also to demonstrate how a system-level portfolio can help customers build the next generation of robotics, industrial automation, and edge AI platforms.
This expanded presence reflects a strategic shift in how embedded innovation is created and delivered. In many growth applications, customers are no longer looking for a standalone microcontroller, memory device, or analog component in isolation. They are increasingly designing complete system architectures that must balance real-time control, connectivity, intelligence, thermal constraints, power efficiency, reliability, and total cost. That is why GigaDevice is emphasizing a more integrated value proposition built around microcontrollers, memory, communication, and supporting devices.
For us, Embedded World is also an important platform to engage global customers and ecosystem partners around real application needs. In areas such as humanoid robots, robot joints, dexterous hands, industrial communication nodes, and edge intelligence, the market is moving quickly from concept validation toward scalable product design. GigaDevice wants to be part of that transition by offering practical, deployable semiconductor building blocks that help customers reduce development complexity and accelerate time to market.
Another strategic objective is to reinforce our position in high-growth, high-value application segments where system architecture matters as much as silicon specifications. Humanoid robotics, for example, is not simply a “higher performance MCU” opportunity. It is a distributed control opportunity, a communication opportunity, a memory opportunity, and, increasingly, a safety and security opportunity. The same is true for intelligent industrial systems and connected edge devices. By highlighting system-level innovation at Embedded World 2026, GigaDevice is showing that our focus is aligned with where the embedded market is heading.
In short, our strategic objective is to evolve from being seen primarily as a component provider into being recognized as a semiconductor partner for intelligent system design,especially in applications where real-time performance, integration, and scalability are critical.
Your showcase focuses on system-level innovations for humanoid robotics, industrial applications, and edge AI—what market trends are driving this focus?
Several major trends are converging and making this a particularly important moment for robotics, industrial intelligence, and edge AI.
First, humanoid robotics is moving from a highly exploratory phase toward a more structured ecosystem. The market is growing rapidly, with major players emerging across the United States, Europe, and Asia, and with a large number of companies entering the space. In recent years, the pace of development has been exceptionally high, even though growth is expected to normalize as the market matures. At the same time, long-term projections indicate strong expansion potential for humanoid robots, with significant opportunities for semiconductor solutions as commercialization progresses.
Second, robotics architectures are becoming more distributed and more electronics-intensive. A single humanoid robot can contain dozens of servo-drive and encoder-related subsystems, creating a large number of opportunities for microcontrollers across motion, sensing, and communication nodes. This fundamentally changes how value is created in the system, shifting from a single central processor to a distributed network of coordinated control units.
Third, industrial automation continues to demand better real-time communication and more deterministic control. Advanced industrial communication protocols are becoming increasingly important because they enable low latency, high synchronization precision, and scalable multi-node architectures. These capabilities are essential not only for humanoid robots but also for industrial motion control, smart actuators, and distributed automation systems.
Fourth, edge AI is changing how embedded systems are structured. Intelligence is no longer centralized but distributed across the system, requiring local processing, fast response times, and reliable communication. This creates demand for a combination of high-performance microcontrollers, memory solutions, and efficient system architectures.
Finally, cost and integration pressure are increasing. Robotics systems operate under strict constraints related to space, thermal performance, and total system cost. As a result, highly integrated solutions that reduce complexity and improve efficiency are becoming critical for real-world deployment.
How do GigaDevice’s GD32 microcontrollers and semiconductor solutions enable real-time control and intelligence in emerging humanoid robotics platforms?
Humanoid robots represent one of the most demanding applications for embedded systems, requiring precise, synchronized control across a large number of distributed nodes. A single robot can incorporate dozens of microcontrollers across joints, hands, sensors, and communication subsystems.
This distributed architecture is essential because real-time robotic performance depends on local decision-making and deterministic control loops. At the joint level, microcontrollers are responsible for motor control, encoder feedback processing, torque sensing, and communication with higher-level systems.
GigaDevice addresses these requirements with a broad portfolio of microcontrollers designed for different performance and integration levels. Cost-effective devices can be used for compact control nodes, while higher-performance microcontrollers are used in demanding applications such as robotic joints and coordinated motion systems.
High-performance microcontroller families provide strong processing capability, large on-chip memory, and rich peripheral resources, enabling them to handle complex control algorithms and signal processing tasks required in robotics applications.
Communication is another critical element. Modern humanoid robots rely on a main communication bus to distribute motion-control commands across the system. Advanced industrial communication technologies enable low latency, high bandwidth, and precise synchronization, ensuring coordinated movement across multiple joints.
Integration between communication and control further enhances system performance. By reducing latency and simplifying system architecture, integrated solutions help improve efficiency and reduce overall system cost.
Together, these capabilities enable a distributed, synchronized, and scalable control architecture that is essential for humanoid robotics.
Edge AI is becoming critical for autonomous and connected systems. How is GigaDevice positioning its technologies to support AI processing at the edge?
GigaDevice sees edge AI as an architectural evolution that depends on a combination of technologies rather than a single processing unit.
In many intelligent systems, microcontrollers are responsible for time-critical control tasks, sensor management, and data preprocessing. These functions form the foundation for higher-level intelligence and ensure that systems can respond quickly and reliably to real-world inputs.
At the same time, memory plays a critical role in supporting AI-enabled systems. Embedded applications require efficient storage and access to code, parameters, and data, making memory an essential component of the overall architecture.
GigaDevice’s approach is to provide the supporting infrastructure that enables edge intelligence to function effectively. This includes reliable real-time control, efficient memory solutions, and seamless system coordination.
Rather than replacing high-performance processors, GigaDevice’s technologies complement them by strengthening the embedded layer. This ensures that intelligent systems can operate efficiently, reliably, and with low latency in real-world environments.
The demonstrations at Embedded World include robotics motion control and embedded AI capabilities. What technical breakthroughs make these applications possible today?
The ability to demonstrate advanced robotics motion control and embedded AI today is the result of multiple technological advances working together.
One key development is the increase in processing capability combined with larger on-chip memory and richer peripheral integration. This allows microcontrollers to handle more complex control tasks and signal processing requirements.
Another important advancement is the improvement in communication technologies. High-performance communication protocols enable precise synchronization and low-latency data exchange, which are essential for coordinated multi-axis motion.
Integration is also a major factor. By combining communication and control functions more closely, system latency can be reduced and overall efficiency improved. This is particularly important in space-constrained applications such as robotic joints.
Advances in packaging and thermal performance have also made it possible to deploy high-performance electronics in compact and demanding environments. This enables practical implementation in real robotic systems where space and temperature are critical constraints.
Finally, the maturity of embedded intelligence allows systems to combine real-time control with higher-level processing, enabling more responsive and capable applications.
How important is system-level integration—combining memory, microcontrollers, sensors, and analog components—in accelerating innovation across robotics and industrial automation?
System-level integration has become a key factor in enabling innovation across robotics and industrial automation.
Modern embedded systems are composed of multiple interacting components, including microcontrollers, memory, sensors, analog devices, and communication interfaces. As system complexity increases, optimizing these components individually is no longer sufficient.
Instead, the focus must shift to how these elements work together as a unified system. Effective integration helps reduce system complexity, lower costs, and improve performance.
By providing a broad portfolio of semiconductor solutions, GigaDevice enables customers to design more cohesive system architectures. This reduces the need for external components, simplifies development, and accelerates time to market.
In robotics and industrial applications, system-level integration allows developers to focus on application innovation rather than hardware complexity. This is critical for achieving scalable and competitive solutions.
With global demand growing for intelligent embedded systems, how is GigaDevice expanding its ecosystem and partnerships to support developers worldwide?
GigaDevice recognizes that a strong ecosystem is essential for supporting the development of intelligent embedded systems.
Collaboration with industry partners, including technology providers, system integrators, and development tool vendors, plays a key role in enabling efficient solution development. Alignment with widely adopted standards and communication technologies ensures compatibility and facilitates adoption.
In addition, GigaDevice is expanding its support for developers through application-oriented resources, technical guidance, and closer engagement with customers. This helps reduce development barriers and accelerates innovation.
By building an open and collaborative ecosystem, GigaDevice aims to empower developers worldwide to create more advanced and efficient embedded systems.
Looking ahead, how do you see the role of semiconductor innovation evolving to support the next generation of humanoid robots and edge AI devices?
Semiconductor innovation will continue to play a fundamental role in enabling the next generation of humanoid robots and edge AI systems.
Future developments will focus on higher integration, improved energy efficiency, enhanced real-time performance, and stronger safety and security capabilities. These factors are essential for building scalable and reliable intelligent systems.
As robotics and edge AI applications evolve, semiconductor solutions must address real-world challenges such as cost, system complexity, and deployment environments. This requires a system-oriented approach that goes beyond individual component performance.
In addition, long-term reliability, ecosystem support, and product longevity will become increasingly important, especially in industrial and robotics applications.
GigaDevice is committed to advancing its technology portfolio and working closely with partners and customers to support the development of intelligent, connected systems. By focusing on system-level innovation, the company aims to contribute to the next wave of technological progress in robotics and edge AI.
