Training your first humanoid with AI
Humanoid robots are quickly transitioning from experimental pilots to scalable industrial solutions; and at the heart of this change is AI and simulation.
In today’s episode of The Industry Forward Podcast, host Dale Tutt, Global Vice President of Industry Strategy at Siemens Digital Industries Software, is joined by Rahul Garg, Vice President of Industrial Machinery at Siemens Digital Industries Software to discuss how on how humanoid robots are trained, deployed and scaled, highlighting the critical roles of AI and the Digital Twin.
In this episode, you’ll learn:
- How AI enables quick and continuous learning
- The importance of the Digital Twin to move humanoids from projects to production
- Ways to navigate software updates and cybersecurity challenges
Dale Tutt – Global Vice President of Industry Strategy, Siemens Digital Industries Software
Dale Tutt is Vice President of Industry Strategy at Siemens Digital Industries Software. Dale leads a team of experts to develop and execute industry-specific product and marketing strategies in collaboration with the global product, sales, and business development teams. With over 5 years of experience in this role combined with extensive experience in the aerospace and defense industry, Dale has a deep understanding of the challenges and opportunities facing companies as they embark on their digital transformation journeys.
Rahul Garg – Vice President of Industrial Machinery at Siemens Digital Industries Software
Rahul Garg is the Vice President of Industrial Machinery at Siemens Digital Industries Software. As a customer-centric leader, one of his great joys is helping simplify complex problems for customers and enabling success by delivering powerful, effective solutions that support small and mid-sized businesses. Throughout his career having worked at 3 start-ups and now a large enterprise, Garg has worked closely with SMBs and in technology-led industries to overcome key challenges and drive revenue growth with strategic solutions, smarter services and better business practices.
The Industry Forward Podcast
Join industry experts to explore the key trends, transformative technologies and real-world innovations that are reshaping fields from aerospace, industrial machinery and semiconductors to pharmaceuticals and beyond. Each episode delivers an in-depth discussion on the dynamic challenges industries are facing and how digitalization driven by AI, software and the comprehensive digital twin is meeting those challenges today and redefining the global industry of tomorrow.
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Fascinante el avance en el entrenamiento de humanoides mediante IA para optimizar las cadenas de producción. Sin embargo, a medida que introducimos redes neuronales y toma de decisiones autónoma en entornos con operarios humanos, se abre un debate legal y ético enorme: la responsabilidad en caso de accidentes laborales graves.
Si un humanoide entrenado por IA comete un error imprevisto debido a un fallo en los datos de entrenamiento y causa lesiones físicas a un trabajador, la frontera de la responsabilidad civil y penal se vuelve muy difusa. ¿De quién es la culpa penal? ¿Del ingeniero que entrenó el modelo, de la empresa que lo implementó o del fabricante del hardware?
Analizando este tipo de negligencias corporativas y accidentes con maquinaria con un abogado en Valladolid (https://abogadoars.es/) experto en derecho penal, queda claro que las empresas de automatización van a tener que blindarse con auditorías legales estrictas. Si hay un accidente grave, los juzgados de lo penal investigarán los logs de entrenamiento de la IA como cajas negras para determinar si hubo imprudencia temeraria.
¿Se están planteando ya en los equipos de desarrollo de Siemens protocolos de seguridad jurídica específicos para blindar a los programadores ante la responsabilidad penal derivada de las decisiones autónomas de un robot?