Aitai Demonstrates 3C Embodied Production Line, Shifting from Showcasing Parameters to Demonstrating Rhythm

On October 27, at the NEPCON ASIA 2026 exhibition, Aritel focused on showcasing solutions such as mobile phone gluing and tightening, flexible screw locking, memory stick insertion detection, vision inspection, and large model grasping. The booth was transformed into a miniature electronics production line, directly addressing the core issues in electronic manufacturing today: product iteration on a monthly basis, gluing entering the micrometer level, insertion becoming increasingly frequent, and non-standard processes becoming the norm. How can robots move from being able to demonstrate to being able to stably enter the production line?\n\nTaking the memory stick insertion detection robot as an example, combining ±0.03mm repeat positioning accuracy and flexible force control, it can continuously complete the processes of picking up, inserting, and detection, reducing the risk of misinsertion and material damage, and being compatible with Class 5 cleanrooms.\n\nThe mobile phone gluing and tightening robot, with ±0.02mm repeat positioning accuracy and millisecond-level force control response, controls the gluing accuracy to be less than ±0.1mm, with a single workstation cycle time less than 10 seconds, aiming to ensure that the locking results are not dependent on luck after changing operators, lines, or batches.\n\nThe flexible screw locking robot is based on the CS66, adapting to oblique holes, deep holes, and multi-angle assembly. Through servo screwdrivers and torque control, it identifies abnormalities such as slippage and floating lock and alerts in real time, with locking results that are traceable and compatible with MES.\n\nIn the decision-making of the "production line intelligent body" solution for mobile phone vision inspection, Aritel integrates CS66, 2D vision, and conveyor belt tracking, enabling dynamic following, inspection, and sorting in continuous operation, without the need for precision fixtures, capable of identifying slight offsets and angular changes, and able to run with multiple machine types in a mixed line.\n\nIn the automation 3D inspection phase, robots are paired with 3D scanners and vision software, conducting full inspections on castings, plastic parts, and stamped sheet metal parts weighing up to 100kg. These different workstations share the same evaluation criteria: whether the cycle time is stable, whether the accuracy can be reproduced, whether the force control is reliable, and whether the changeover is convenient.\n\nAritel emphasizes that customer demand has shifted from single-machine intelligence to full-line flexibility, from "import substitution" to multi-variety mixed lines and frequent changeovers. What the production line truly lacks is not more equipment stacking, but flexible productivity that understands processes, can generalize, and can evolve.\n\nAround the shift in electronic manufacturing, Aritel has connected technical foundation, scenario validation, and flexible delivery into an executable chain. The universal grasping robot, based on the CS66F force-controlled dual-arm driven by Yuanqi Primo large model, integrates multi-modal perception of vision and force, allowing a natural language command to assign a grasping task; without pre-set object models, it supports 100+ types of SKU generalization grasping, and automatically plans the graspTake points and force, completing recognition, grasping, and placement end-to-end, reducing integration cycle from weeks to minutes.\n\nThe coffee robot, based on the Ailite collaborative robot, achieves ±0.03mm repeatability accuracy, 90 seconds fully automatic cup production, supports 4–6 types of flower patterns, ice/hot flavors, and AIGC image printing, demonstrating dual-arm coordination and embodied intelligence in real-time "on-the-job" performance with a cup of coffee.\n\nAilite points out that the evaluation criteria for embodied intelligence are returning to the production line, focusing on cycle time, operating conditions, and stable delivery. The evaluation system is also shifting from technical feasibility to engineering deliverability, from single-machine capabilities to system collaboration, from exhibition stand performance to production line KPIs. The next step for embodied intelligence is on the production line. After robots enter the operating conditions, they need to answer not "what can they do", but "what can they stably deliver."