LATIDIA · Robótica

¿Pueden los agentes de IA programar robots industriales sin datos de entrenamiento? Berkeley dice que sí.

La Universidad de California en Berkeley y NVIDIA han lanzado herramientas de código abierto para equipos de agentes de programación de IA que escriben, simulan y perfeccionan programas para robots legibles. La publicación «¿Pueden los agentes de IA programar robots industriales sin datos de entrenamiento?», de Berkeley

La noticia

The new RoboSimStudio is an open-source project that enables agentic AI coding of robotic simulation environments. | Credit: UC Berkeley UC Berkeley and NVIDIA have released open-source tools for a new approach: enabling teams of AI coding agents to write, simulate, and refine readable robot programs. Since the early days of industrial robots, programming, tuning, and troubleshooting robotic workcells has taken weeks to months. New research coming out of UC Berkeley has demonstrated that new agentic AI programming tools could change how industrial robots are coded and maintained. Why is this important? As anyone who’s programmed an industrial workcell knows, implementing the code has to wait until the end of