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A Chinese research team has proposed the world’s first “force–position hybrid control algorithm.”

A Chinese research team has proposed the world’s first “force–position hybrid control algorithm.”

Recently, a Chinese research team has achieved a major breakthrough in the field of robotic algorithms, proposing the world’s first unified theoretical framework for a “force–position hybrid control algorithm.” This algorithm enables robots to simultaneously learn both position and force control without relying on force sensors, boosting the success rate of relevant tasks by approximately 39.5% compared with strategies that use only position control. The associated paper was awarded the Outstanding Paper Prize at the Conference on Robot Learning (CoRL), marking the first time in the award’s history that it has been bestowed upon an all‑Chinese research team.

20

2025

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10

The convergence of force control and motion control: jointly exploring breakthroughs in the evolution of the embodied intelligence “cerebellum.”

The convergence of force control and motion control: jointly exploring breakthroughs in the evolution of the embodied intelligence “cerebellum.”

As embodied intelligence evolves from “being able to think” to “being able to act,” the underlying motion control system—the “cerebellum”—is emerging as the key determinant of whether robots can truly be deployed in industrial settings. Along the evolutionary trajectory of this embodied‑intelligence cerebellum, force control and motion control represent two highly influential technical paradigms. The force‑control approach centers on tactile feedback, mimicking human fingertip sensing and compliant interaction, striving for “precise force application like a human”; the motion‑control approach, by contrast, hinges on trajectory planning and whole‑body coordination, emulating human limb coupling and balance regulation, with the goal of achieving “flexible locomotion akin to that of a human.” If traditional industrial robots are little more than “programmatic executors” that rely on pre‑set waypoints to perform tasks, today’s robots equipped with advanced motion‑control capabilities are already advancing toward becoming true “motion intelligents.”

07

2026

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04

From “Virtual Dialogue” to “Physical Execution”: How Physical AI Is Reshaping the Underlying Logic of Industrial Civilization

From “Virtual Dialogue” to “Physical Execution”: How Physical AI Is Reshaping the Underlying Logic of Industrial Civilization

Introduction: Embodied intelligence is transitioning from “virtual dialogue” to “physical execution,” and physical AI will reshape the fundamental logic of manufacturing. This article provides an in-depth analysis of the “brain–cerebellum–body” collaborative architecture, offering forward-looking insights for Yangming’s strategic positioning in the field of embodied intelligence.

01

2026

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06

The “Brain–Cerebellum” Collaborative Architecture Accelerates the Evolution of Embodied Intelligence

The “Brain–Cerebellum” Collaborative Architecture Accelerates the Evolution of Embodied Intelligence

Currently, the deep interdisciplinary integration of artificial intelligence, mechatronics, control science, materials science, and neuroscience is underway, with the co‑evolution of robots’ “cerebellum” and “cerebrum” emerging as a key competitive focus in the fields of embodied intelligence and humanoid robotics. The “brain–cerebellum” architecture has been designated as a priority area for the development of the embodied intelligence industry.

01

2026

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06

Younme was recognized as "Suzhou Digital Economy Demonstration Enterprise"

Younme was recognized as "Suzhou Digital Economy Demonstration Enterprise"

Younme was recognized as "Suzhou Digital Economy Demonstration Enterprise"

06

2022

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12

Younme was recognized as "Suzhou Digital Economy Warehousing Enterprise (Institution) in 2022"

Younme was recognized as "Suzhou Digital Economy Warehousing Enterprise (Institution) in 2022"

Younme declared that the project of "Suzhou Digital Economy Warehousing Enterprises (Institutions) in 2022" was recognized successfully.

11

2022

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11

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