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Ant Group Launches a Competition to Prove Its Robot Model Gets Used
Ant Group's Robbyant unit opened a developer competition built around its open-source LingBot-VLA 2.0 robot model, running through November finals in Shanghai.

Ant Group Leads $74 Million Round for Home Robot Maker Zeroth
Chinese home robotics startup Zeroth has raised about 74 million dollars in pre series A funding led by Ant Group, taking its total funding to roughly 147 million dollars. The round arrives alongside two new full size embodied AI products, Jupiter and N1, and follows a reported 600 percent year over year revenue jump in the first half of 2026.

Ant Group’s Lingbo open sources LingBot-Depth 2.0 and LingBot-Vision, a spatially native embodied vision foundation model
Ant Group’s Lingbo Technology unveiled LingBot-Depth 2.0 and open sourced LingBot-Vision, a foundation model that makes boundary structure a core pretraining signal.

Daxiao Robotics Raises Hundreds of Millions in H1 2026, Launches Kairos-HomeWorld Whole-Home AI Training Framework
SenseTime-affiliated Daxiao Robotics has accumulated hundreds of millions in funding during H1 2026, backed by Ant Group, Geely Capital, and Lenovo Ventures. The company's latest breakthrough, Kairos-HomeWorld, is the first AI framework to generate structurally complete, physically plausible whole-home 3D environments — solving a critical data bottleneck for training domestic service robots on Chinese home layouts.

A Robot That Grades Its Own Homework Is Beijing's Answer to the Simulation Gap
Beijing-based ShengShu Technology unveiled Motus2, a self-evolving world model that lets robots predict and grade their own actions, reaching 84 percent success across five manipulation tasks.

Jiushi and Yutong Launch Driverless Truck for Factory Logistics
Autonomous-driving developer Jiushi Intelligence and manufacturer Yutong began production of the Z20, a 4.2-ton driverless truck built for factory and warehouse routes rather than public roads.
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Inside Gongsheng Zhixing's Bet on a Unified Robot Brain
Beijing startup Gongsheng Zhixing argues that unified, end-to-end AI models outperform the industry's layered reasoning-and-control architecture, a claim it demonstrated by having a humanoid robot drive a go-kart around a closed track.

July 2026 Technology Wrap-Up: Trust Became the Bottleneck
July 2026 produced more robot foundation models than any prior month, and the technical center of gravity shifted in response: the scarce layer is no longer models or data but evaluation, certification, and standards. China's MIIT convened its humanoid standardization plenary and stood up a data working group, Europe's ISO 10218:2025 transition began sorting prepared vendors from unprepared ones, and a wave of benchmarks emerged to measure what the model flood actually delivers. The trust layer is becoming the product.
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