该奖项由巴伐利亚州政府和巴伐利亚科学与人文学院, 联合颁发，是德国技术和工程领域最高的奖项。罗斯于 7 月 23 日在慕尼黑官邸 Herkulessaal 接受了该奖项。
Awarded jointly by the Bavarian State Government and the Bavarian Academy of Sciences and Humanities, it is the most highly endowed award for technology and engineering in Germany. Rus accepted the prize on July 23 at the Herkulessaal of the Munich Residence.
评选委员会列举了她的四个工作:自组织机器人集体,软机器人,自主移动,和类脑人工智能。他们共同描述了 30 年的努力，旨在建造能够在实验室外,、无人提前编写的条件下运行的机器。
The selection committee cited four strands of her work: self-organizing robot collectives, soft robotics, autonomous mobility, and brain-inspired artificial intelligence. Together they describe a 30-year effort to build machines that hold up outside the lab, in conditions no one scripted in advance.
这项努力是在物理人工智能已成为行业领导者和政策制定者等关注的焦点之际做出的。当人机协作出现, 时，例子往往是家务活或工厂车间。 Rus 正在比, 扩大几个数量级，开发算法和系统，将自主机器人投入运输, 农业, 医药, 家庭, 和环境监测。她也是软机器人, 的先驱，在这种机器人中，柔性机器人比刚性机器人更安全地操纵世界，更容易适应世界。
That effort has arrived at a moment when physical AI has become a preoccupation for industry leaders and policymakers alike. When human-robot collaboration comes up, the examples tend to be household chores or the factory floor. Rus is working several orders of magnitude wider than that, developing algorithms and systems that put autonomous robots into transportation, agriculture, medicine, the home, and environmental monitoring. She is also a pioneer of soft robotics, where compliant machines manipulate the world more safely and adapt to it more readily than rigid ones can.
她始终强调，通过行为可解释的算法，赋予机器人在现实世界中推理和适应的智能,。
Her emphasis throughout has been on giving robots the intelligence to reason and adapt in the real world, through algorithms whose behavior can be explained.
"AI 使机器能够完成人类不想做的工作'," 她说。 "这'不是人类与机器之间的战斗。两者形成了一个系统，可以解决人类和机器都无法单独解决的问题。"
"AI gives machines the ability to do work that humans don't want to do," she says. "It的 not a battle between humans and machines. Both form a system that solves problems that neither humans nor machines can solve alone."
她还帮助发明了液体神经网络,，这种架构的灵感来自毫米长蠕虫的紧凑神经系统。该网络可以使用少至 19 个控制神经元, 来引导车辆穿过陌生的环境，其效率水平是传统架构无法达到的。这项研究促使 Rus 和前 CSAIL 附属机构 Ramin Hasani, Alexander Amini, 和 Mathias Lechner 从 MIT CSAIL, 构建模型中发现了 Liquid AI，该模型从一开始就针对其运行设备的硬件限制而设计。
She also helped invent liquid neural networks, an architecture inspired by the compact nervous system of a millimeter-long worm. The networks can steer a vehicle through an unfamiliar environment using as few as 19 control neurons, a level of efficiency that conventional architectures cannot approach. The research led Rus and former CSAIL affiliates Ramin Hasani, Alexander Amini, and Mathias Lechner to found Liquid AI out of MIT CSAIL, building models designed from the start for the hardware constraints of the devices they run on.
"Daniela Rus 是软机器人和物理 AI 领域的先驱," 慕尼黑工业大学, 智能生物机器人系统教授 Lorenzo Masia, 在新闻稿中指出。 "该奖项将有助于将这门科学推向前沿。"
"Daniela Rus is a pioneer in soft robotics and physical AI," noted Lorenzo Masia, professor of intelligent bio-robotic systems at the Technical University of Munich, in a press release. "The prize will help to bring this science to the forefront."
Rus 此前曾获得的荣誉包括 2025 年 IEEE 爱迪生奖章和 2024 年约翰·斯科特奖。她是 2002 届麦克阿瑟研究员的成员，并当选为法国国家医学院,、美国国家工程院, 和美国艺术与科学学院院士。她是计算机协会,、电气和电子工程师协会, 以及人工智能促进协会的会员。
Rus previous honors include the 2025 IEEE Edison Medal and the 2024 John Scott Award. She is a member of the 2002 class of MacArthur Fellows and has been elected to the French National Academy of Medicine, the National Academy of Engineering, and the American Academy of Arts and Sciences. She is a fellow of the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, and the Association for the Advancement of Artificial Intelligence.