AI-based control
-
Neuromorphic Artificial Skin for Robots
Read Full Article: Neuromorphic Artificial Skin for Robots
Researchers have developed a "neuromorphic" artificial skin for robots that mimics the way human sensory neurons transmit and integrate signals. This innovative skin uses spiking circuitry to replicate the nervous system's method of processing sensory inputs, such as pressure, by converting them into activity spikes. These spikes convey information through frequency, magnitude, and shape, allowing for precise identification of sensor readings. By integrating this system with energy-efficient hardware, it offers potential for advanced AI-based control in robotics, enhancing their sensory capabilities and responsiveness. This matters because it represents a significant step towards creating more human-like and efficient robotic systems.
Popular AI Topics
machine learning AI advancements AI models AI tools AI development AI Integration AI technology AI innovation AI applications open source AI efficiency AI ethics AI systems Python AI performance Innovation AI limitations AI reliability Nvidia AI capabilities AI agents AI safety LLMs user experience AI interaction