Content types
Model releases
New robot models, new versions, or first-time weight releases. Benchmark results for an existing model belong under Benchmarks; changes only to pricing, quotas, or service availability belong under Product updates.
72 selected · 34 in the last 30 days
Xbotics具身智能实验室 · 微信公众号 ·
SenseTime launches SenseNova-RoboRSI and a 27B embodied model, achieving SOTA on 12 simulation benchmarks
The SenseTime SenseNova team launched the SenseNova-RoboRSI unified execution framework and the 27B embodied model SenseNova-RoboRSI-27B-Preview.
智源研究院 · 微信公众号 ·
BAAI's FlagOS 2.2 released: over 1,454 operators, 27% cross-chip performance gain
BAAI presented FlagOS 2.2 progress at the 2026 AI Open Computing Conference and FlagOS Technical Conference; the version was released on September 30. Public operators in the nine operator libraries rose from 564 to 1,454 (890 added). In tests covering over a thousand operators and 10 heterogeneous AI chips, cross-chip operator performance improved by about 27% over the previous version. The FlagOS-Compressor weight conversion and quantization tool was released for the first time, enabling a new model to be adapted to as many as 12 chips within one day.
AI前线 · 微信公众号 ·
Google releases Gemini 4 Argon physical reasoning model, connecting the full robotics R&D chain
Google has released Gemini 4 (Argon), positioned as a general physical reasoning model focused on interaction with the physical world, covering the full robotics lifecycle from control execution and simulation reconstruction to data annotation and self-improvement. On the ERQA embodied reasoning benchmark, Argon scored 87%, surpassing Claude Opus 5.5 (82.3%) and GPT-6 Astra (81%); in the AA-Omniscience test, its hallucination rate was 15%, lower than the 51% and 59% of the latter two.
深圳市机器人协会 · 微信公众号 ·
HKU MMLAB releases PhysicalRSI 1.0, tops RoboDojo and sharply cuts token costs
The University of Hong Kong's MMLAB jointly released PhysicalRSI 1.0, a self-evolving embodied intelligence system baseline, achieving a score of 36.27 and an average task success rate of 31.38% on RoboDojo, ranking first.
Shanghai AI Laboratory - Embodied Intelligence ·
Shanghai AI Lab launches decision model Intern·Mingjue, outperforming Jev and releasing 0.8B, 2B, and 4B weights
Shanghai AI Laboratory has launched the decision model Intern·Mingjue (Decision), which outperforms Jev and is available in 0.8B, 2B, and 4B parameter versions. In RTX 4090 tests, the 0.8B and 2B models had an average end-to-end latency of about 33 milliseconds and about 30 decisions per second, while the 4B model was 44.16 milliseconds and Jev was 109.70 milliseconds.
至简动力 · 微信公众号 ·
Simplexity Robotics releases and open-sources world-action model SimpleWAM, with 6B model achieving on-device inference as low as 42.31ms
Simplexity Robotics has launched and open-sourced the world-action model SimpleWAM; the 6B-parameter version reduces inference latency on NVIDIA ThorX (T5000) from 181.23ms to 42.31ms, enabling high-frequency closed-loop operation on-device at nearly 24Hz.
PsiBot/灵初智能 ·
Lingchu Intelligence releases Psi-R2.5, using strong Pair Data to solve human-machine data alignment challenges
Lingchu Intelligence has officially released its embodied model Psi-R2.5, which uses a two-tier architecture with a QwenVL3.5-4B high-level planner plus a Wan2.2-IT2V-5B low-level controller, and proposes the strong Pair Data standard. The model reverse-invokes the Psi-W0 world model to generate human demonstration videos backward from real-robot data, enabling mass production of paired data, and supports in-context learning (ICL) for zero-shot generalization to new tasks. It comes with a HIL+RL post-training framework and is claimed to raise task success rates to 99% after a few iterations taking only 1-2 working days, and has already been deployed at customer sites.
PsiBot/灵初智能 ·
Psi Robotics Releases Psi-R2.5 Model: Scaling Human Data for Embodied Intelligence with Strong Pair Data
Psi Robotics released the Psi-R25 robot manipulation model. Its core upgrades are improved data quality and data attribute compression: it reviewed and extracted high-quality data from 100,000 hours of data, and used strong pair data to align human data with robot data.
Figure AI ·
Figure AI releases Helix 2.5, achieving zero-shot full-body autonomy in 30 unfamiliar homes
Figure AI released Helix 2.5, which completed three long-horizon full-body behaviors—tidying a living room, folding towels, and making a bed—zero-shot in 30 Bay Area homes where no data had ever been collected, without collecting data or fine-tuning in the evaluation environments.
Shanghai AI Laboratory - Embodied Intelligence ·
2026 Pujiang Innovation Forum AI-Enabled Scientific Research Special Forum Held; Shanghai AI Lab Releases ShuSheng-S2 and ShuSheng World Model W0
The 2026 Pujiang Innovation Forum AI-Enabled Scientific Research Special Forum was held on September 13 at the Shanghai Zhangjiang Science Hall, co-hosted by the Fourth Department of the Ministry of Science and Technology and Shanghai AI Lab. During the forum, Shanghai AI Lab launched the ShuSheng Scientific Multimodal Large Model S2 and the ShuSheng Physical World Model W0, opened the full-stack services of the ShuSheng·DuanYan Scientific Discovery Platform, and jointly released 20 major scientific questions with 14 institutions as well as multiple co-construction achievements of the "Climber Program."
小鹏机器人 ·
XPeng XOS 6.3.0 OTA Deploys Second-Generation VLA Upgrade, Adds InfiniVLA and X-Foresight World Model
XPeng XOS 6.3.0 deploys a second-generation VLA upgrade via OTA, restructuring the model architecture around the time dimension: InfiniVLA lets historical visual information continuously participate in current judgments, with the vehicle side selecting 30 seconds of historical context alongside streaming autoregressive inference.
Dexmal 原力灵机 · 微信公众号 ·
Force Spirit DM0.5 Tops All Four RoboColiseum Leaderboards
Force Spirit announced that DM0.5 has topped all four RoboColiseum leaderboards (instruction following, spatial understanding, perturbation adaptation, and general manipulation), making it the only model on the leaderboards to rank first in every evaluation.
小鹏机器人 ·
XPeng's second-generation VLA large model gets its first major upgrade, XOS 6.3.0 to debut globally on the G9L
XPeng held a sharing and experience day themed "TIME," announcing the first major upgrade to its second-generation VLA large model. The new XOS 6.3.0 version will make its global debut on the XPeng G9L, with the core aim of moving AI from 3D spatial understanding to 4D spatiotemporal understanding.
自变量机器人 · 微信公众号 ·
X Square Robot releases WALL-SS next-scale autoregressive world model
X Square Robot has released WALL-SS, a next-scale autoregressive world model that uses a coarse-to-fine, layer-by-layer refinement generation architecture, breaking away from the traditional diffusion-model approach of generating video in a single segment. In testing, its action-following score was 0.29, the only nonzero score among the compared models; the overlap between generated trajectories and action instructions rose from 0.251 to 0.539; streaming inference can reach 60 seconds of footage without collapse; and in closed-loop policy consistency tests across 6 tasks and 5 training stages, the success-rate agreement between virtual and real-world tasks reached 93%.
Skild AI ·
Skild AI releases robot foundation model S1, achieving in-context learning through video demonstrations
Skild AI released the robot foundation model S1, which uses video demonstrations as task prompts and can execute manipulation tasks not seen during training without fine-tuning, with long-horizon tasks lasting up to about 10 minutes. At a pretraining data scale of 100,000 hours, the ICL model achieved a 66% success rate on unseen tasks, compared with 9% for the language-prompted VLA; a single demonstration was equivalent to about 380 post-training demonstrations, and the planting task took 11 minutes from recording the demonstration to autonomous execution. S1 was trained on NVIDIA AI infrastructure and has already been put into use with commercial partners.
智源研究院 · 微信公众号 ·
Zhongzhi FlagOS completes Day0 adaptation of Qwen3.8-2.4T across nine chips
On the first day of Alibaba's open-source release of the 2.4-trillion-parameter MoE model Qwen3.8-2.4T-A95B, the Zhongzhi FlagOS community completed multi-chip adaptation, precision alignment, and deployment validation across 9 AI chips, providing BF16, FP8, INT8, and other multi-precision versions.
达纳灵动 · X ·
Dyna Robotics releases Dyna-2 world-action model, pretrained on one million hours of human video
Dyna Robotics introduces Dyna-2, a world-action model pretrained on one million hours of human video. The authors say they found several new scaling laws at this scale: world-action models across four orders of magnitude on human data (from 1,000 hours to 1.
RoboParty · 微信公众号 ·
RoboParty Lab, Zhejiang University, and Tsinghua AIR release and open-source world model control method INTACT
RoboParty Lab, Zhejiang University, Tsinghua University Institute for AI Industry Research (AIR), and InSpatio jointly released and open-sourced the world model control method INTACT (INtent-To-ACTion).
北京智在无界科技有限公司 ·
BeingBeyond releases Being-H0.8, the first implicit world action model to introduce touch in pretraining
BeingBeyond has released Being-H0.8, which it calls the world's first implicit tactile world action model, unifying vision, touch, action, and future state changes into a single latent space, with pretraining on more than 500,000 hours of first-person human video.
正行创新 · X ·
Harness VLA open-sourced, achieves 82.4% on LIBERO-Pro
@ChaoYuTHU has open-sourced Harness VLA, which adds a Harness Layer to organize VLA models without modifying their weights. On LIBERO-Pro, Harness VLA scores 82.4%, compared with Pi_RLinf at 50%, Berkeley RATS at 43.8%, and NVIDIA Cap-X at 18.2%. Striding AI posted this tweet and sees it as a possible sign of a shift from end-to-end VLA to Harness VLA.