Xiaoping Chen

Xiaoping Chen

Professor and AI Engineer, 2021-2022 Berggruen China Center Fellow


Professor Xiaoping Chen is the director of the Robotics Laboratory at University of Science and Technology of China. He serves as the director of the Robot Technical Standard Innovation Base, an executive member of the Global AI Council, Chair of the Chinese RoboCup Committee, and a member of the International RoboCup Federation’s Board of Trustees. He was Area Chair on Robotics at the 2015 International Joint Conference on Artificial Intelligence (IJCAI) and the general chair of the 2008 and 2015 RoboCup and Conference. He has received the USTC’s Distinguished Research Presidential Award and won Best Paper at IEEE ROBIO 2016. His projects have won the IJCAI’s Best Autonomous Robot and Best General-Purpose Robot awards as well as twelve world champions at RoboCup. He proposed an intelligent technology pathway for robots based on Open Knowledge and the Rong-Cha principle, which have been implemented and tested in the long-term research on KeJia and JiaJia intelligent robot systems. As a Berggruen Institute China Center fellow, Chen plans to lead a project on synergized leap of technological development and the Gong-Yi innovation (a concept drawn from “Dao” in Daoism, “Ren” in Confucianism, and “Justice” in Greek philosophy) in the era of artificial intelligence.



机器人技术标准创新基地主任。全球人工智能理事会执行委员,中国RoboCup委员会主席,国际RoboCup联合会理事。曾任2015世界人工智能联合大会机器人领域主席、2015和2008 RoboCup机器人世界杯及学术大会主席。中国科学技术大学“杰出研究”校长奖获得者、IEEE ROBIO 2016最佳大会论文等国际论文奖、世界人工智能联合大会最佳自主机器人奖和通用机器人技能奖、机器人世界杯12项世界冠军等团体奖获得者。 提出基于“融差性”原理和“开放知识”的机器人智能技术路线,并在“可佳”和“佳佳”智能机器人系统中进行了持续性研究和工程实现。作为博古睿中国中心研究员,陈小平计划进行“人工智能时代科技创新与公义创新的协同跨越”的研究项目。

composed by Arswain
machine learning consultation by Anna Tskhovrebov
commissioned by the Berggruen Institute
premiered at the Bradbury Building
downtown Los Angeles
april 22, 2022

Human perception of what sounds “beautiful” is necessarily biased and exclusive. If we are to truly expand our hearing apparatus, and thus our notion of beauty, we must not only shed preconceived sonic associations but also invite creative participation from beings non-human and non-living. We must also begin to cede creative control away from ourselves and toward such beings by encouraging them to exercise their own standards of beauty and collaborate with each other.

Movement I: Alarm Call
‘Alarm Call’ is a long-form composition and sound collage that juxtaposes, combines, and manipulates alarm calls from various human, non-human, and non-living beings. Evolutionary biologists understand the alarm call to be an altruistic behavior between species, who, by warning others of danger, place themselves by instinct in a broader system of belonging. The piece poses the question: how might we hear better to broaden and enhance our sense of belonging in the universe? Might we behave more altruistically if we better heed the calls of – and call out to – non-human beings?

Using granular synthesis, biofeedback, and algorithmic modulation, I fold the human alarm call – the siren – into non-human alarm calls, generating novel “inter-being” sonic collaborations with increasing sophistication and complexity. 

Movement II: A.I.-Truism
A synthesizer piece co-written with an AI in the style of Vangelis’s Blade Runner score, to pay homage to the space of the Bradbury Building.

Movement III: Alarmism
A machine learning model “learns” A.I.Truism and recreates Alarm Call, generating an original fusion of the two.

Movement IV: A.I. Call
A machine learning model “learns” Alarm Call and recreates A.I.Truism, generating an original fusion of the two.

RAVE (IRCAM 2021) https://github.com/acids-ircam/RAVE