Robot Era's VPP2 tops RoboDojo embodied benchmark, beating GPT-6 Astra
AI summary
Robot Era's self-developed world-action model VPP2 topped the RoboDojo simulation leaderboard with a 32.26% average success rate and 39.26 average score, ahead of the reported 22.48% and 28.97 for GPT-6 Astra. The team says it achieved this without extra data or augmentation such as Agent RSI, also ranking first on generalization, fine manipulation and memory, and has open-sourced the model. On real hardware, VPP2 ran 10 zero-shot tasks on an ALOHA dual-arm robot with a 58.5% average success rate versus 40% for π0.5, taking the best result in 9 of 10 tasks.
In-depth insight
If replicated, it suggests data-pipeline and training-order choices can matter as much as raw scale for embodied generalization and execution.