News

AVIC Jonhon Optronic Technology Co., Ltd. has reached a new milestone in wireless power transfer with its WLH-type 900W wireless charging component, which has passed testing by the National Mine Explosion-Proof Safety Product Quality Inspection and Testing Center and obtained an explosion-proof certificate. The development is significant for the company’s position in embodied intelligence and… Read more: Luoyang Manufacturing Moves Into Embodied Intelligence as AVIC Jonhon’s 900W Wireless Charging Component Wins Explosion-Proof Certification, Strengthening the Humanoid Robot Supply Chain

Supply chain management is entering a new phase in which digital twins and embodied intelligence are being brought together to reshape how end-to-end logistics is planned, executed and continuously optimized. A newly proposed application framework outlines how a physical entity layer, a digital twin layer and a human-machine interaction layer can work in concert to… Read more: Digital Twin and Embodied Intelligence Converge to Reshape Digital-Intelligent Supply Chains

The second World Humanoid Robot Games closed on the evening of August 26, 2026, after gathering 666 teams and 2,056 robots for competition across 51 events and more than 1,300 intense contests. The scale of participation rose 138 percent compared with the first edition. In a single year, the humanoid robot has moved beyond demonstrations… Read more: Humanoid Robot Industry Moves From Spectacle to Commercial Proof as Two Major Events Reveal New Trajectory

In the field of industrial robotics, the rotary vector reducer plays a critical role due to its high transmission efficiency, wide speed ratio range, compact structure, and superior load-bearing capacity. The performance of the main bearings within a rotary vector reducer directly influences key characteristics such as load capacity, overturning stiffness, transmission accuracy, efficiency, temperature… Read more: Development and Experimental Investigation of a Main Bearing Test Bench for Rotary Vector Reducers

I design an instruction-driven trajectory planning system for an industrial robot inside the ADAMS environment. My purpose is to remove the separation between offline trajectory generation and continuous dynamic analysis, because many industrial robot workflows first plan a path in an external numerical tool and then import a fixed data set into ADAMS for verification.… Read more: ADAMS-Based Industrial Robot Trajectory Planning