Edge AI in robotics refers to the deployment and execution of artificial intelligence algorithms directly on a robot's local hardware, rather than relying on remote cloud servers for processing. This paradigm allows robots to perform complex computations and make real-time decisions autonomously at the point of action, significantly enhancing their operational capabilities. Key benefits include dramatically reduced latency for critical tasks such as collision avoidance or precise manipulation, and improved data privacy and security since sensitive information remains on the device. Furthermore, edge AI enables robots to function reliably in environments with limited or intermittent internet connectivity, expanding their deployment possibilities. It involves optimizing AI models and deploying them onto specialized onboard processors like GPUs or NPUs, transforming robots into truly intelligent, self-sufficient systems. This approach is fundamental for applications requiring immediate responses and robust performance, ranging from autonomous vehicles to collaborative industrial robots. More details: https://uadvokata.com.ua/