embodied AI

iFLYTEK detailed SparkAudio 1.0 at its 2026 Global 1024 Developer Festival. The speech foundation model combines a 0.65-billion-parameter audio encoder with a 30B-A3B mixture-of-experts language model, trained on 13 million hours of audio. iFLYTEK also launched Robot Super Brain Platform 3.0 for embodied robots.

Primotion, a Shenzhen startup founded in July 2026 to build embodied-AI chips, has unveiled Paimon-0, an embodied foundation model. The company says it cuts single action-chunk inference from about 3,000 ms to 300 ms and ranks first on several public robot benchmarks. All results are self-reported.

Amap, part of Alibaba Group, has released λ0, which it describes as the first whole-body foundation model based on open-world human behavior. According to Amap, it learns movement, posture and two-handed manipulation from human data alone, cuts collection time per demonstration from about 100 seconds to 29, and raises real-robot task success 22.5% over the strongest baseline.

Robot-brain developer Qianjue launched Polibrain, a world model that predicts task-relevant state changes instead of future video frames. It is adapted to quadruped, humanoid and wheeled robots, according to Pandaily.

SenseTime has open-sourced the SenseNova-RoboRSI evaluation harness and a 27B embodied model. The release follows a study of GPT-6-Astra across 12 simulated benchmarks and 8 real robots. The figures are SenseTime's own.

On October 21, Shengshu Technology's world model team began a public livestream of the full Motubrain 2.0 training process, planned to run about half a month. The embodied model is due to be open-sourced, and the stream covers pretraining, post-training, agent task execution and recursive self-improvement (RSI) exploration.

Black Forest Labs has released FLUX 3 Action, an open-weight robotics model built on its FLUX 3 multimodal foundation. The 7-billion-parameter model reads multi-camera video feeds and predicts what a robot should do next, claiming a record success rate on the RoboLab-120 leaderboard while running nearly 4x faster than the previous best open model.

Google DeepMind has released Gemini Robotics ER 2, an embodied reasoning model that acts as a high-level planning brain for robots, adding continuous video progress tracking, precision moment-finding, and multi-robot collaboration. The model is available now via the Gemini API and Google AI Studio, with private preview access on the Gemini Enterprise Agent Platform.