SenseNova-RoboRSI

Headlines · 1

1. Oct 19
   SenseTime study: GPT-6 Astra aces simulated embodied tests, stumbles on real robots

   A SenseTime SenseNova team, with Daxiao Robotics, Ropedia, NTU and the University of Tokyo, published "Has GPT-6-Astra Achieved Embodied Intelligence?", a systematic evaluation of OpenAI's GPT-6 Astra across 12 simulated benchmarks and 8 real robot platforms. With in-context learning and up to a 10x action-step budget, the model scored 100% on LIBERO-Long++, 99.3% on LIBERO-Pro, 98.8% on SIMPLE and lifted RoboDojo from 27.6% to 81.9%, but reached only 37.0% on the long-horizon BEHAVIOR benchmark and 28.9% on LHPR-VLN navigation. On real hardware it succeeded 17 of 18 times at rigid pick-and-place, yet failed all 11 plug-insertion attempts across three platforms; placing a pen in a holder took over four hours and cost $55, and in a cooking task it decided an egg was done but turned off the stove about 90 seconds later, burning it. The report concludes GPT-6 Astra has largely crossed the embodied-intelligence threshold but remains far from practical deployment, and presents SenseNova-RoboRSI, a harness that improves from execution feedback without updating model weights.

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