The Rise of Humanoid Robots and Physical Artificial Intelligence

Robots, once existing only in fiction, were machines that obeyed commands. Once extensions of human intelligence, they are now learning, moving, and adapting in the real world.

The robotics industry is undergoing a transformation. Advances in physical artificial intelligence and large language models in computers are the main drivers of this change. Machines understanding instructions, interpreting data, and responding in real time all rely on artificial intelligence.

In short, we are entering an era where robots can perceive and adapt to their environment in real time, just like humans. Like ordinary people, these robots possess perception, intelligence, and action capabilities, understanding their surroundings, planning actions, and reacting in real time.

With continued investment from leading technology companies and manufacturers, humanoid robots are rapidly emerging, quickly transforming from theoretical concepts into entirely new cutting-edge fields. Advances in sensors, actuators, edge AI, and high-efficiency power systems are the cornerstones supporting the development of artificial intelligence technology, and these advancements are inseparable from the semiconductor industry. Today, in numerous industries and application scenarios, humanoid robots are beginning to work safely alongside humans in dynamically changing environments.

We are ushering in an era of machines that are highly similar to humans. Why choose a humanoid robot? What are its advantages? In the industrial sector, attention to humanoid robots is being driven by several key factors.

First, the manufacturing of consumer goods, logistics, healthcare, and service industries are facing increasingly severe labor shortages. These industries demand high levels of physical strength from workers, and their work is repetitive and labor-intensive; therefore, labor shortages are to be expected. While robots excel at precision tasks, optimizing efficiency and extending working hours, humanoid robots, with their dexterous hands and flexible limbs, can adapt to environmental changes more quickly than traditional industrial robots that are typically fixed in a specific position. The second advantage is their high adaptability to existing work environments. Humanoid robots are designed based on human prototypes and naturally adapt to workspaces designed for humans. This means they can navigate existing human-designed workspaces, such as staircases, doorways, shelving layouts, and workstations, without requiring companies to invest heavily in site modifications. This advantage significantly lowers the barrier to entry for commercial, especially industrial, applications of humanoid robots.

The third advantage is that humanoid robots are ideal experimental platforms for advancing biomechanics, robotics engineering, and embodied intelligence—all fields within the realm of physical artificial intelligence. As the cost of humanoid robots approaches human labor levels, and advancements in hardware and sensors continue to improve their responsiveness and adaptability to dynamic environments, these robots are expected to gradually integrate into the labor market in the coming years.

Today, humanoid robots are beginning to move out of the laboratory. The first meaningful applications are mainly concentrated in the logistics and manufacturing industries, performing tasks such as material handling and simple assembly; meanwhile, early pilot applications are also appearing in functional areas such as medical assistance, retail services, and basic testing. The Foundation of Robot Intelligence Physical artificial intelligence (PAI) refers to the integration of artificial intelligence (AI) with physical systems. AI is directly embedded in physical entities, enabling them to perceive, act, and adapt to environmental changes in real time. AI interacts with the real environment in conjunction with physical entities, unlike large language models that run through data simulations in data centers. The core components of PAI for real-time interaction include: sensors for perception, computing modules for interpreting data, and actuators for action.

The realization of PAI does not rely on any single technological breakthrough, but rather on a highly integrated semiconductor platform that integrates perception, computing power, motion control, power management, communication connectivity, and functional safety into a deterministic real-time control system.

True 3D perception requires depth sensing, environmental modeling, and object detection technologies. Robots primarily utilize global shutter CMOS image sensors and time-of-flight ranging modules to achieve 3D perception capabilities. Robots must be able to identify various occluded objects and maintain accurate spatial positioning in situations with sensor noise and complex environments; the first two types of sensors play a crucial role in this process. These technologies allow robots to track motion and environmental changes more accurately, thereby reacting better and preventing accidents.

Over the past decade, embedded computing has been the area with the most significant technological advancements. The rapid advancements in edge AI processing performance and machine learning capabilities have endowed today's robots with greater intelligence. New innovations enable distributed intelligence, achieving functions such as perception, motion planning, SLAM (Simultaneous Localization and Mapping), and motor coordination at the edge. By reducing data transmission bandwidth and minimizing low-priority processing tasks on the main processor, the robot's real-time response speed can be significantly improved. Furthermore, modern deep learning and reinforcement learning algorithms contribute to the continuous optimization and upgrading of robot software. Precise motion control is relatively more intuitive. Humanoid robots use motor drivers and controllers to move multiple joints such as the shoulder, neck, elbow, wrist, and fingers, achieving human-like limb movements.

It is the deep integration and comprehensive fusion of these core components that transforms robots from simply program-controlled machines into intelligent and autonomous entities. A complex and sophisticated semiconductor solution enables the perfect integration of mechanical and electronic systems, allowing humanoid robots to perform complex tasks accurately, safely, and intelligently in dynamically changing environments.

In the development of humanoid robots, this system-level integration is a major technical challenge and a key difference between experimental prototypes and large-scale platforms. Current challenges and development directions Numerous challenges remain to be overcome before humanoid robots can achieve widespread adoption. These challenges include not only practical issues related to field deployment but also software optimization, data security, cost control, and standards and regulations. However, these problems are being rapidly resolved, and Goldman Sachs predicts that consumer humanoid robots will become economically viable between 2028 and 2031.

Continuous innovation in artificial intelligence, advanced sensors, high-performance semiconductors, and next-generation mechanical systems is creating opportunities for the rapid development of humanoid robot technology. As these technologies mature, humanoid robots will gradually move from isolated pilot applications to widespread deployment in factories, hospitals, warehouses, and other scenarios. Ultimately, robots will become partners and colleagues of humans, assisting human workers in safe, precise, and efficient operations in environments demanding high levels of physical strength, adaptability, and efficiency.

Influenced by multiple factors such as labor shortages, an aging population, and advancements in physical artificial intelligence technology, humanoid robots are becoming the next major intelligent platform after smartphones and cloud computing.

As physical artificial intelligence technology matures, robots will possess the abilities to think, act, and perceive, and will be able to collaborate with humans, blurring the lines between digital intelligence and physical capabilities.

The deep integration of advanced semiconductors, edge AI, vision systems, and execution technologies makes humanoid robots a key technology driving social change in the next decade.