Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception
The new model halves depth error in difficult indoor scenes and uses 150 million samples, while LingBot-Vision is open-sourced for developers.
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5 Articles
Robbyant Unveils LingBot-Depth 2.0 and LingBot-Vision to Redefine Robotic Spatial Perception
SHANGHAI — Robbyant, an embodied AI company within Ant Group, today announced the launch of LingBot-Depth 2.0, a next-generation spatial perception model, alongside its foundational visual model, LingBot-Vision. This release marks a significant leap in robotic spatial perception, empowering robots to accurately understand and navigate the physical world. From “Seeing” to “Seeing Accurately” Building upon […]
Robbyant launches LingBot-Depth 2.0 and LingBot-Vision for advanced robotic spatial perception
Robbyant, an embodied AI company within Ant Group, has announced the launch of LingBot-Depth 2.0, a next-generation spatial perception model, alongside its foundational visual model, LingBot-Vision. This release marks a significant leap in robotic spatial perception, empowering robots to accurately understand and navigate the physical world. From ‘seeing’ to ‘seeing accurately’ Building upon the success […]
Ant Group's LingBot-Vision Claims 12 World Firsts: 1.1B Parameter Model Beats 7B DINOv3
Ant Group's LingBot (蚂蚁灵波) has unveiled LingBot-Depth 2.0, a spatial perception model that achieves 12 world-first results across public and private benchmark datasets. The model's underlying technology, the LingBot-Vision foundation model, represents the world's first spatial-native vision foundation model purpose-built for embodied AI, and has been released as open source.LingBot-Vision is a paradigm shift from conventional computer vision fou…
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