SisonAI Subsidiary Develops Ultra-Precise Robot Gripper Capable of Gripping Potato Chips... Commercialization Ready

Uon Robotics, the robotics subsidiary of vision AI company SisonAI, announced on April 30 that it has completed development of an ultra-precise multipurpose three-finger robot gripper based on unstructured object recognition-based physical AI technology, and has finished preparations for commercialization.

This newly introduced product combines the vision AI technology of its parent company SisonAI with Uon Robotics' precision control technology, enabling it to reliably grip a wide variety of objects. The gripper demonstrates precise performance across a broad spectrum, from fragile items such as potato chips, strawberries, eggs, and paper cups to objects weighing over 3kg.

This technology works by analyzing the type, shape, and characteristics of a target in real time using AI-based object recognition, and then adjusting gripping force through precision torque control technology. In particular, the control system is paired with deceleration technology to enable delicate yet stable operation, allowing the gripper to securely handle heavy and easily deformable items—such as 2-liter water bottles—without causing damage.

Park Youngryong, CEO of Uon Robotics, stated, "This product is a multipurpose gripper capable of handling a wide range of objects with varying hardness and weight. It can be applied in multiple industries, including agri-food logistics, defense, healthcare, and precision manufacturing." He added, "We have completed development to the point where it is ready for real-world deployment, beyond just the research stage, and we plan to accelerate commercialization."

Recently, a U.S. university research team unveiled a two-finger robotic hand capable of stably gripping fragile objects such as potato chips and raspberries. In contrast, Uon Robotics has differentiated itself by adopting a more advanced three-finger structure. While the three-finger structure presents greater challenges in design and control, it offers enhanced gripping stability and a stronger ability to handle unstructured objects, making it highly versatile across a range of industrial applications.

The market outlook is also positive. According to global market research firm DataIntelo, the robot gripper market grew from approximately $3.8 billion last year and is expected to expand at a compound annual growth rate of 10.2% to reach $9.1 billion by 2034. Notably, the Asia-Pacific region—which includes manufacturing-heavy countries such as China, Japan, and Korea—accounted for a 41.2% market share as of last year.

Additionally, the market is rapidly shifting away from traditional fixed grippers toward adaptive, sensor-integrated, and AI-powered intelligent grippers that can handle objects of various shapes and characteristics. This transformation is seen as a key driver behind the market's expansion.

Uon Robotics aims to set a new standard in physical AI technology with this three-finger robot gripper. By integrating SisonAI's advanced vision AI technology, the company plans to lead the intelligent gripper market, offering solutions that can autonomously calculate optimal gripping force and contact points even in complex environments.

In summary, Uon Robotics is targeting the intelligent robotics market by securing a commercialized three-finger robot gripper that combines vision AI and precision control technology, making it suitable for a broad range of industries.

This content was produced with the assistance of AI translation services.