Yao Mu

By preserving the semantics of pretrained models while achieving superior compositional generalization, InternVLA-A1.5 redefines how robots can learn and execute complex tasks.

RoboDojo reveals that existing benchmarks fail to capture the full spectrum of robot manipulation capabilities, paving the way for more robust evaluations that bridge the gap between simulation and real-world performance.

Orca's unified world latent space enables superior performance in diverse tasks, outperforming specialized models with a single framework.