从抓薯片到玩手机，这款传感器凭什么让灵巧手通吃全场景抓取？

Core Viewpoint - The article emphasizes the evolution of robots from "programmed execution" to "environmental adaptability" in the context of Industry 4.0 and AI integration, highlighting the importance of tactile sensors for enhancing robotic dexterity and interaction capabilities [1]. Group 1: Advantages of Multi-modal Tactile Sensors - Traditional tactile sensors are limited by issues such as single modality, hysteresis, poor non-linearity, low dynamic response speed, inconsistent batch quality, and insufficient durability, which do not meet the market's demand for high-performance sensors [2]. - The multi-modal tactile sensor developed by Suzhou Hangkai Microelectronics utilizes advanced algorithms for three-dimensional force perception, instantaneous detection of tangential components, and tactile fusion, overcoming the limitations of traditional sensors and providing precise force analysis for complex control [2]. Group 2: Features of Multi-modal Tactile Sensors - High precision measurement is achieved with a minimum discernible force of 0.01N within a 20N range, allowing for accurate control of gripping force when handling delicate or fragile items [3]. - The sensor's multi-modal perception capability includes the ability to sense normal pressure and tangential force, as well as temperature sensing upon contact with objects, providing comprehensive tactile feedback for better environmental understanding [4]. - The sensor features rapid response capabilities, with a maximum output frequency of 300Hz and precision better than 2%, ensuring real-time and accurate force measurement in dynamic applications [5]. - The compact design of the sensor facilitates integration into various devices and systems, accommodating different application scenarios and spatial constraints [6]. - The sensor demonstrates high stability and reliability, maintaining performance after over 1 million presses at 10N, ensuring long-term operational stability for robotic dexterity [7]. Group 3: Application and Patent - The integration of the multi-modal tactile sensor with adaptive grasping algorithms significantly enhances the performance of robotic hands, enabling them to automatically adjust grip strength and posture for various objects [8]. - The technology has been patented, showcasing its capabilities in three-dimensional tactile perception, tangential force detection, and impact detection, making it suitable for industrial grasping and precision operations [9].