Lu Cewu of Shanghai Jiao Tong University: Embodied Intelligence and his first shaving robot | Interview with a wise man

After consulting historical data, it was shown that Professor Lu Cewu of Shanghai Jiao Tong University was the first person in the world to be shaved by a robot with a blade.

Professor Lu Cewu of Shanghai Jiao Tong University personally led the team to conduct a study on autologous bone tissue engineering. Under the operation of a large embodied intelligent model, the machine successfully completed the shaving action. This technology can bring major breakthroughs to the medical field in the future.

Robots shaving people's beards may seem simple, but in fact they contain huge challenges. In addition to behavioral generalization, what's more important is the need for extreme robustness.

According to the original text, when Professor Lu’s head moves, this large embodied intelligent model embedded with a high-precision feedback module can make timely decisions on changes in pressure and tangential force, not only shaving his beard clean, but also It won't hurt him. If a large model only judges trajectory input through vision, it will be difficult to complete the task. This is also not possible via remote operations.

In 2024, when large models are all the rage, if there are any other hot spots in the field of AI, “embodied intelligence” must be among them.

Different from passively receiving information, embodied intelligence (Embodied AI) emphasizes that the agent actively interacts with the physical environment. This interaction is not without cost. Every action may change the state of the environment and bring new challenges, requiring the agent to continuously adjust its strategy.

The intelligence exploration tool provides a unique perspective to understand the nature of intelligence. It develops intelligence based on the body, which is also a completely different paradigm from existing AI research.

The outstanding development of artificial intelligence stems from thinking about the nature of technology and industry.

This website launches a new video column "Wise Man Interview", inviting experts in the field to gain insight into AI core technology and industry trends. Tailor-made for practitioners, it aims to deepen industry understanding and stimulate innovative thinking. In this episode, Professor Lu Cewu from Shanghai Jiao Tong University provides an in-depth analysis of embodied intelligence, bringing all-round thinking from principle to implementation.

Lu Cewu from Shanghai Jiao Tong University: About Embodied Intelligence, Scaling Law and Large Models

Time stamp

00:00 Guest introduction

01:00 The connotation and characteristics of embodied intelligence

03:09 Embodied intelligence "body" And the standard of "intelligence"?

06:42 99.X%: In addition to versatility, robustness is also required

13:09 Different technical paths and analysis

15:20 Sora can understand physics The world?

20:18 Embodied intelligence large model: two-stage rocket architecture

25:11 How will Scaling Law be reflected in the field of embodied intelligence?

32:03 "Data is scientific research"

38:20 Embodied intelligence assessment: It is difficult to balance cost and effectiveness

46:53 Embodied intelligence entrepreneurship: Only correct Only with the technical path can we achieve 99.

##Lu Cewu, professor at Shanghai Jiao Tong University, doctoral supervisor, winner of the Scientific Exploration Award (reason for award: Contribution to Embodied Intelligence), was named the 35th 35-year-old by MIT Technology Review in 2018 The following Chinese science and technology elites (MIT TR35) were awarded Qiushi Outstanding Young Scholars in 2019, won the Shanghai Science and Technology Progress Special Award in 2020, Wu Wenjun First Prize in Natural Science, won the Ministry of Education Youth Science Award in 2022, and won the China High School Science Award in 2021/2022 Cited scholar, won one of the best papers (6/3579) at the top international robotics conference IROS in 2022, nominated for RSS best system paper, published as corresponding author or first author in "Nature", "Nature-Machine Intelligence", TPAMI , published more than 100 papers in high-level journals and conferences such as T-RO and IJRR; served as a reviewer for the main journal of Science, Nature sub-journal, Cell sub-journal and other journals, and served as field chair for NeurIPS, CVPR, ICCV, ECCV, IROS and ICRA. Research interests include embodied intelligence, robot learning, and computer vision. As co-founder and chief scientist, he founded the embodied intelligence company Qionche Intelligence.

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