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According to recent reports from foreign media, a team of engineers at the University of California, San Diego has developed an innovative robotic gripper that can "feel" and recognize the shape of objects. Unlike traditional robots that rely on visual input or pre-training, this new system uses touch to create a 3D virtual model of unknown objects, allowing it to grasp and manipulate them effectively even in low-light conditions.
The robotic hand features three flexible fingers, each covered with a special sensing skin made of soft silicone embedded with carbon nanotubes. When the fingers make contact with an object, the pressure causes changes in the electrical conductivity of the nanotubes. These changes generate signals that are sent to a control unit, which then builds a digital 3D representation of the object's shape in real time.
Once the model is created, the robot can adjust its grip accordingly, ensuring a secure hold. The design also allows for more complex movements, such as twisting, by selectively inflating air chambers within the fingers. This enables the robot to handle delicate or irregularly shaped items, like bulbs or soft objects, with greater precision.
This breakthrough technology was developed under the leadership of Michael T. Tolley and was recently showcased at the International Conference on Intelligent Robots and Systems in Vancouver. The research represents a major step forward in tactile robotics, offering a more intuitive and adaptable approach to object manipulation. As the field continues to evolve, such innovations could have wide-ranging applications in manufacturing, healthcare, and everyday automation.
July 03, 2025