From WAIC to WRC: Pathway for Domestic Embodied Intelligence in Industry
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The WAIC and WRC events highlighted advancements in embodied intelligence, showcasing the gap between demonstration and practical application in factories. While many exhibitors focused on flashy displays, few offered stable solutions for industrial production lines. A key factor is the lack of effective 'soft-hard collaboration' between traditional industrial robots and AI algorithms. Efort and Qizhi Robotics presented a solution at WAIC, emphasizing a 'foundation building and soft-hard collaboration' approach, which integrates hardware and AI to create a closed-loop system for data, perception, decision-making, and execution.
At WRC 2026, Efort and Qizhi showcased new products, including a next-generation composite robot and the HALO human skill capture suit. The composite robot achieved seamless integration of mobility, manipulation, and visual perception, enabling it to perform complex tasks on production lines. The HALO suit addresses the industry's data collection challenges by capturing multi-modal data during human operations, essential for training AI models. Both innovations aim to enhance efficiency and flexibility in manufacturing processes.
Looking ahead, the success of these technologies in real-world applications will be crucial. Efort's intelligent welding and spraying stations exemplify the practical implementation of their technology foundation, significantly reducing setup times and costs. As the industry moves from concept validation to tangible results, the focus will be on how these solutions can be scaled and adapted across various sectors, marking a pivotal moment in the evolution of China's robotics industry.
Original report
从WAIC到WRC：自主硬件+通用技术底座，国产具身智能的产业落地路径
MIR · MIR 张杰This briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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