
什么是具身人工智能,它如何赋能先进空中出行?
先进空中出行(AMM)涵盖了具身人工智能在空中领域的前沿应用——这些机器人能够在复杂的空中环境中感知、做出决策并执行行动。具身人工智能的自主能力可以解锁先进空中出行,在航空旅行和基础设施检查等领域实现更加安全、全天候的运营。随着具身人工智能的能力不断增强,负责任的实施将有助于应对先进空中出行带来的关键风险和挑战。
Raphael Preindl is a Senior Consultant in Kearney’s Transportation Practice, advising clients across industries on logistics, procurement and multimodal transport across all modes from road and sea, to rail and aviation.
Recently seconded to the World Economic Forum as a Project Fellow, he supported the AVIATE initiative on Advanced Air Mobility, Aviation Innovation and Autonomous Technologies.
Based in Kearney's Zurich office, Raphael works with C-suite leaders and boards across Europe, the Americas and the Middle East on mobility strategies that are resilient and sustainable.
He holds a PhD in Business Administration from the University of St. Gallen, lectures part-time at a university of applied sciences in Southern Germany and brings deep cross-cultural expertise.
先进空中出行(AMM)涵盖了具身人工智能在空中领域的前沿应用——这些机器人能够在复杂的空中环境中感知、做出决策并执行行动。具身人工智能的自主能力可以解锁先进空中出行,在航空旅行和基础设施检查等领域实现更加安全、全天候的运营。随着具身人工智能的能力不断增强,负责任的实施将有助于应对先进空中出行带来的关键风险和挑战。
A medida que la IA incorporada se vuelve más capaz, la implementación responsable debe abordar los riesgos y desafíos críticos de su uso para la movilidad aérea avanzada (AAM).
As embodied AI becomes more capable, responsible implementation must address the critical risks and challenges of using it for advanced air mobility (AAM).

