Over the past decades, industrial robots have been executing predefined tracks-infinite loops in deterministic scripts, fixed programs, and limited scenarios. But today, the manufacturing industry is ushering in a paradigm shift: AI is injecting changes into robots, controlling uncertainties, and realizingCompliant interactionThe "soul". From the code deduction of the laboratory to the actual implementation of the production line, physical AI is not only the intergenerational transition of technology, but also the industry upgrading of "programming automation" to "physical intelligence.

However, it is still difficult to bridge the gap from "simulation to reality. The omnipotent AI in the simulator can easily get out of control once it touches the real physical load, friction, contact and dynamic interference.AI in the lab is science, and AI in the production environment is engineering.. The blind area of tactile perception makes robots "have no process actions". The fragmented software and hardware ecology makes technological iteration deep in the mire, while the absolute red line of industrial safety and reliability makes every real machine deployment like walking on thin ice.

From rigid execution to adaptive interaction, this is not only an upgrade at the algorithm level, but also a full stack reconstruction of sensing hardware, execution platform and data model.

Facing these industry challenges,August 19, 2026: 14:00-16:00, a rancher namedHow physical AI transforms industrial automation"The online live broadcast is about to start. Four core representatives from key enterprises in the industrial chain will open up the fog for you and directly attack the core pain points and the way to break the situation in the physical AI industry.

Core agenda and blockbuster guest spoiler

[1] Anda Sun | Technical director, Greater China and Korea, terida robot

Sharing Topic:Explore how physical AI transforms industrial automation

[2] Vincent Duchaine | Robotiq CTO-AI

Sharing Topic:Physical AI in robot field: core breakthrough and new sensing technology

[3] Zhao Qiang | Sales manager of Beijing humanoid robot innovation center

Sharing Topic:Core technology and industrial innovation of humanoid robot

[4] Dai Jingwei | Director of ecological operation of Tashan technology

Sharing Topic:From perception to interaction: AI tactile perception technology and model construction

Round Table Discussion: Brainstorming

In the final round table forum, the four guests will also have an in-depth dialogue on the same stage, focusing on the engineering gap between physical AI from the laboratory to the production line, exploring multimodal perception integration and open ecological construction, to solve the "last kilometer" problem of industrialization.

The industrialization wave of physical AI has come. Are you a spectator or a loser?

Reserve a live seat for free now! On August 19, they crossed the 'last kilometer' with industrial pioneers '.