Jiang Yadong, Marketing Director of Zhongke Guiji: Casia Hand Enables the "Hands" to Dance with the "Brain" | 2025 AI Partner Conference

The year 2025 marks the beginning of the explosion of AI applications. As the global AI competition enters the "Chinese Moment," a profound technological transformation is quietly reshaping the industrial landscape. At this critical juncture, the industry faces core questions: How can we bridge the gap between AI technology and large - scale applications? Where will the next disruptive AI super - application be born?

On April 18th, the 2025 AI Partner Conference hosted by 36Kr was grandly inaugurated at the Modu Space in Shanghai. The theme of this conference is "The Super App is Coming," focusing on the disruptive transformation of AI applications in all industries. The conference is divided into two major chapters: "The Super App is Coming" and "Who is the Next Super App," covering seven major topics such as "Growing Up in the AI World" and "In 2025, Focus on AI Super - Applications." It includes more than 10 keynote speeches, 3 round - table discussions, and the release of two lists of excellent AI case enterprises, deeply analyzing how AI technology reconstructs business logic and reshapes the industrial landscape, and exploring the infinite possibilities brought by AI super - applications.

On that day, Jiang Yadong, the Marketing Director of Zhongke Sili, gave a keynote speech titled "Scenario - Driven: Casia Hand's Human - like Dexterous Manipulation Leads the Wave of Industrial Upgrading."

The following is the content of Jiang Yadong's speech, edited by 36Kr:

Hello, friends! I'm Jiang Yadong from Zhongke Sili. I'm very honored to share our thoughts and practices in the field of artificial intelligence with you. Today's sharing will revolve around the cutting - edge direction of embodied intelligence. In fact, the concept can be traced back to a primary school text of mine, "Two Treasures": "A person has two treasures, hands and a brain. Hands can work, and the brain can think." This simple sentence precisely summarizes the two core fields of artificial intelligence: disembodied intelligence (simulating brain thinking) and embodied intelligence (simulating hand operations). And Zhongke Sili focuses on the latter, promoting the industrialization of embodied intelligence through technological innovation.

As an enterprise incubated by the Institute of Automation of the Chinese Academy of Sciences, Zhongke Sili has been deeply involved in the field of robot dexterous manipulation for many years. Different from many teams that "conduct research and development while starting a business," our technology is based on a decade of scientific research project accumulation, and now we are transforming these advanced achievements into commercial products and services.

Our business focuses on three major sectors: whole - machine research and development, algorithm innovation, and core component manufacturing. Simply put, a robot can be disassembled into two key units:

Movement unit: It determines the robot's range of activities, including different forms such as bipedal, wheeled, and tracked.

Operation unit: It is responsible for performing specific tasks, and dexterous manipulation technology is the core of the operation unit.

Through our self - developed motion chassis and cutting - edge algorithms, we organically combine the "brain" (intelligent decision - making) and the "hands" (precise operation). According to different scenario requirements, we launch multi - level dexterous hand products and supporting solutions, realizing the full - chain transformation from technology research and development to products and then to commodities.

Traditional dexterous hands face two major problems: First, they rely on a large - scale dataset for training and have difficulty dealing with non - standard and irregular objects. Second, the efficiency of human - machine collaboration is low, and often humans have to adapt to the machine. Zhongke Sili solves these pain points through two core algorithms:

Adaptive generation algorithm: It does not rely on a large - scale database for training. With a small amount of data training, it can quickly identify the object's shape through three - finger touch, such as grasping a beer mug or an irregular object not in the training data.

Human - machine collaboration optimization algorithm: It changes the model of "humans cooperate with machines" and enables the equipment to actively adapt to human operation habits, achieving natural and efficient collaboration.

These technologies have not only been internationally recognized in the academic field but also significantly reduced the cost, deployment time, and operation and maintenance difficulty of commercialization. For example, our dexterous hand can quickly master new tasks through a small amount of data training, greatly improving the efficiency of flexible production.

The core of industrial upgrading is to better meet user needs through technological iteration. Just as before the invention of the automobile, users only wanted "faster horses." Now, intelligent transformation has become an inevitable trend in the industrial field. Currently, the industry generally faces a bottleneck from automation to intelligence: Traditional automation relies on preset programs and rigid fixtures, which are suitable for standardized pipeline production but have difficulty meeting the challenges of flexible manufacturing, precise operation, and complex scenarios.

Specifically, intelligent transformation needs to solve three major problems:

Flexible production: Respond quickly to market changes, achieve small - batch, multi - variety production, and flexible switching of production lines.

Precise operation: Handle non - standard products accurately and improve the execution efficiency of complex tasks.

High - risk operations: Replace humans to complete work in high - risk environments such as flammable, explosive, and radiation - prone areas.

Zhongke Sili's Casia Hand dexterous hand is designed to solve the above pain points. Its core advantages are reflected in:

Bionic design and high degrees of freedom: It highly simulates the structure of a human hand and can complete complex and delicate operations.

Efficient data utilization: It gets rid of the dependence on large - scale datasets and can quickly adapt to new tasks through small - sample learning.

Intelligent decision - making: It can independently select operation strategies according to scenario requirements, such as automatically adjusting the force when grasping fragile items.

Take logistics sorting as an example. The shapes, weights, and materials of packages vary greatly. Traditional automated equipment has low efficiency in handling packages of different shapes. With its adaptive grasping ability, Casia Hand can efficiently sort non - standard items. At the same time, when dealing with chemicals and dangerous goods, Casia Hand can replace humans, avoid safety accidents, and achieve efficient "human - machine separation" operations, improving both safety and efficiency.

The rapid development of the new energy vehicle industry places higher requirements on the flexibility of production lines. Traditional automated equipment has difficulty meeting the needs of frequent model iterations and diverse components. After combining Casia Hand with collaborative robots, it can undertake complex tasks such as precise assembly, screw tightening, and wire harness plugging, not only significantly shortening the process flow but also reducing deployment costs and promoting the intelligent transformation of automobile manufacturing.

In special operations such as inspection and bomb disposal, traditional robots can only complete simple grasping or detection tasks and have difficulty dealing with complex operations. The high - degree - of - freedom design of Casia Hand enables it to complete delicate actions in narrow spaces, such as removing bomb leads and repairing high - risk equipment, significantly reducing operation risks and improving task success rates.

Zhongke Sili firmly believes that the value of embodied intelligence lies in solving practical problems. Whether it is automobile manufacturing, logistics sorting, or special operations, we always take "scenario requirements" as the guide, making technology a practical tool to improve industrial efficiency and ensure safety. In the future, we look forward to exploring the application boundaries of embodied intelligence with more partners, promoting artificial intelligence from the laboratory to all industries, and truly opening a new era of intelligent industrial upgrading.

If you are interested in our technology and products, welcome to have in - depth exchanges! Let's work together to create a new era of artificial intelligence.