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Glass crashes slashed? Ant Group embodied AI unit claims breakthrough in robot sensing

Published

7 July 2026

Topic

technology

Sectors

AI AgentsRoboticsComputer Vision

Geography

China

Source

Read at amp.scmp.com

Verified

Fusion42 · 8 July 2026 · Fusion42 review

Ant Group's embodied AI unit Robbyant unveiled LingBot-Depth 2.0 and LingBot-Vision, foundational models that solve critical robotics perception challenges—particularly accurate sensing of glass, mirrors, and transparent objects—while achieving superior performance using 7x fewer parameters than Meta's DINOv3.

This Wire brief sits within Fusion42's coverage of AI Agents, Robotics and Computer Vision.

◆ The Wire takeaway

Founders building robotics, autonomous systems, or embodied AI should monitor this—efficient, open-source foundational vision models with solved glass/transparency sensing directly reduce perception costs and timelines for hardware deployment.

Coverage

1 source · 7 Jul 2026

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Topics

AI AgentsRoboticsComputer Visionembodied-airobotics-perceptionvision-modelsdepth-estimationfoundational-models