Robbyant publishes LingBot-VLA pragmatic foundation model with open weights and benchmark data

Evidence notes
- Robbyant published LingBot-VLA, a VLA foundation model trained on about 20,000 hours of real-world data from nine dual-arm robot configurations.
- The paper reports evaluations across three robotic platforms and releases code, base model weights, and GM-100 benchmark data for reproducible comparison.
- LingBot-VLA is a first-party Robbyant research release and one of the stronger open embodied-AI benchmark/data contributions in the humanoid-adjacent stack.
Company context
Robotics unit of Ant Group focused on embodied AI systems and service robotics deployment.