By Wang Xiaotong

BEIJING, Aug 23 (China Economic Net) ‑ Agriculture and garment-making, Pakistan’s time‑honoured traditional sectors, are increasingly constrained by low productivity, uneven product quality and escalating operational costs. Exhibitors at the ongoing 2026 World Robot Conference (WRC) believe their Chinese‑developed robotic solutions hold strong local application potential, opening possibilities for future adoption within Pakistan.

A robot is sewing a shirt at the 2026 World Robot Conference. [Photo/Wang Xiaotong]

GC Robotics presented its intelligent inspection robot as the core exhibit. Capable of 24-hour unattended operation and covering up to 1,000 mu (about 66.67 hectares) of farmland per unit, the robot is equipped with multi-spectral, infrared and full-range sensors to enable AI-driven automatic pest and disease identification. “Our products have been deployed in overseas countries including Thailand, Malaysia, Australia and Vietnam. South Asian markets are definitely on our roadmap,” said Wang Kang, Deputy General Manager of GC Robotics.

Meanwhile, Vizum featured its harvesting robot, built around self‑developed binocular line‑laser 3D cameras and proprietary 3D‑recognition algorithms. The system calculates precise gripping coordinates and posture, guiding its in-house developed dexterous hand to pick target fruits and deposit them into an on-board collection bin. While the robot currently harvests apples, kiwifruits, winter jujubes, and truss tomatoes, it can also adapt to Pakistan’s iconic mangoes—a living symbol of China-Pakistan friendship. “Technically it can work in mango orchards after targeted adaptation. We are striving to build a versatile harvesting robot that is not confined to a single type of fruit,” Zhou Tian, Sales Director of Vizum, told CEN.

In the textile field, Aitu humanoid sewing-robot workstation from Jack Technology captured wide attention at the WRC. Operating in tandem with template machines, it offers a solution to modern apparel challenges such as labour shortages, steep training curves, and soaring manpower costs. Designed to work seamlessly alongside automated template machines, the workstation automates complex initial workflows like material feeding and pocket attachment for shirts and jackets. The robot's AI vision accurately identifies and handles flexible textiles—even when scattered or bunched—replicating human-like dexterity across full-cycle sewing tasks. “Following domestic tests, we plan to bring these new robot-integrated workstations to key existing markets for our conventional sewing machinery such as Vietnam, India and Pakistan,” Hu Wenhai, Vice President of Jack Technology, revealed.