AgiBot releases embodied model GO-3 Preview, connecting the full chain from pretraining to post-deployment scaled learning
AgiBot releases embodied model GO-3 Preview, focused on full-chain scaled learning across pretraining, post-training and post-deployment, ranking first in three benchmarks: RoboDojo, RoboTwin and RoboColiseum.
Highlights
Harvard, NVIDIA and others propose RAX: robot agent online exploration, leading by 37.4 points on average across five benchmarks
Research teams from Harvard, NVIDIA, Berkeley, MIT and Stanford proposed RAX (Robot Agent eXploration), which connects a general coding agent to robot perception and control interfaces, writing successful decisions into executable programs through online exploration and accumulating them as skills, while model parameters remain frozen.
X-Era AI open-sources 4D world action model E0.5, with real-robot success rate surpassing π0.5
X-Era AI open-sources native 4D world action model E0.5, achieving overall average success rates of 85.0% and 88.3% on the AgileX Piper dual-arm robot and the Zerith H1 humanoid robot, 13.3 and 26.7 percentage points higher than π0.5 respectively.
机器之心 · 微信公众号Source ↗Astra shockwave and the embodied industry's 50 days
In the 50 days since GPT-6 Astra was released, the embodied industry has conducted intensive evaluations and discussions around it, with general large models beginning to directly take over robot operation. Tests by SenseTime and multiple institutions concluded that Astra has basically acquired the ability to complete embodied tasks, but still has a clear gap from practical use in real environments, underperforming in millimeter-level contact, dynamic control and response speed. The article also reviews industry uses of Astra for directly acting as policy, reviewing VLA actions, building simulation environments and data annotation, as well as chain reactions such as cooling financing and big companies ramping up data collection.
钛媒体Source ↗
Model release/update
AgiBot releases embodied model GO-3 Preview, connecting the full chain from pretraining to post-deployment scaled learning
AgiBot releases embodied model GO-3 Preview, focused on full-chain scaled learning across pretraining, post-training and post-deployment, ranking first in three benchmarks: RoboDojo, RoboTwin and RoboColiseum.
- AgiBot releases GO-3 Preview embodied model, taking first place on three major robotics leaderboards and planning full open source by year-end
- AgiBot releases GO-3 Preview, WITA-OMNI and AGILE, connecting the full physical AI chain
X-Era AI open-sources 4D world action model E0.5, with real-robot success rate surpassing π0.5
X-Era AI open-sources native 4D world action model E0.5, achieving overall average success rates of 85.0% and 88.3% on the AgileX Piper dual-arm robot and the Zerith H1 humanoid robot, 13.3 and 26.7 percentage points higher than π0.5 respectively.
机器之心 · 微信公众号Source ↗
Product release/update
AgiBot unveils Worken metric framework, AHA3 hardware platform and G2 Max industrial robot at 2026 Innovation Day
At 2026 Innovation Day, AgiBot proposes the Worken (effective intelligent working hours) framework, measuring robots' effective output in real environments using three metrics: number of active robots, autonomous working hours and output efficiency ratio.
PHYMI releases its first robot Sagi, featuring a four-wheeled-legged humanoid configuration and PHYMI BRAIN 1.0
PHYMI officially released its first robot Sagi on October 28, featuring a "four-wheeled-legged humanoid configuration" with a four-wheeled-legged base plus a humanoid upper body, dual arms and a rear box, targeting scenarios such as office delivery, community errands and outdoor camping transport.
Industry news
Astra shockwave and the embodied industry's 50 days
In the 50 days since GPT-6 Astra was released, the embodied industry has conducted intensive evaluations and discussions around it, with general large models beginning to directly take over robot operation. Tests by SenseTime and multiple institutions concluded that Astra has basically acquired the ability to complete embodied tasks, but still has a clear gap from practical use in real environments, underperforming in millimeter-level contact, dynamic control and response speed. The article also reviews industry uses of Astra for directly acting as policy, reviewing VLA actions, building simulation environments and data annotation, as well as chain reactions such as cooling financing and big companies ramping up data collection.
钛媒体Source ↗AgiBot's Peng Zhihui: first-half revenue nearly 2 billion yuan, humanoid robot shipments of 9,700 units accounting for over 43% globally
At 2026 AgiBot Innovation Day, AgiBot co-founder, president and CTO Peng Zhihui disclosed that in the first half of 2026 AgiBot shipped 9,700 humanoid robots, accounting for over 43% of the global humanoid robot market, with revenue for the period approaching 2 billion yuan, and cumulative general-purpose embodied robot output exceeding 20,000 units as of September.
未来机器人网 · 微信公众号Source ↗Daimon Robotics completes strategic financing of hundreds of millions of yuan, led by Ant Group
Daimon Robotics announced the completion of a strategic financing round of hundreds of millions of yuan, led by Ant Group with existing shareholders oversubscribing, just two months after its 100-million-yuan Series A. The company also launched the tactile-anchored world model Daimon-TWM, with parameter scale at the 10B level, capable of real-time inference on the NVIDIA RTX 5090 platform, and claims an average success rate twice that of π0.5 in contact-intensive manipulation tasks. Daimon also built the tactile full-modality dataset Daimon-Infinity, whose first 10,000 hours of open-sourced data received nearly 5 million downloads on ModelScope.
Paper research
Harvard, NVIDIA and others propose RAX: robot agent online exploration, leading by 37.4 points on average across five benchmarks
Research teams from Harvard, NVIDIA, Berkeley, MIT and Stanford proposed RAX (Robot Agent eXploration), which connects a general coding agent to robot perception and control interfaces, writing successful decisions into executable programs through online exploration and accumulating them as skills, while model parameters remain frozen.
CMU proposes Wiggle and Go: wiggling ropes to estimate physical properties for manipulation planning
A team at the CMU Robotics Institute proposed the Wiggle and Go system, in which the robot first briefly wiggles a rope or cable, records wave propagation with an overhead camera, and then uses computer vision algorithms to track motion and estimate its physical properties, planning subsequent actions accordingly without repeated trial and error. The model is trained entirely in simulation, then uses motion-based property estimation from real rope wiggling to improve real-robot prediction accuracy. The research has been accepted by the 2026 Conference on Robot Learning (CoRL), to be presented in Austin next month, and is partly funded by the U.S. National Science Foundation.
Tips and opinions
PrismaX shares π0.5 policy transfer across YAM devices: fine-tuning ablation, latency bug and 16GB VRAM deployment
The PrismaX team shared practice in transferring a π0.5 policy trained on one YAM device to another YAM device, covering fine-tuning ablation, latency troubleshooting and VRAM compression. On fine-tuning, training only the action expert yielded a 51% grasp rate and 12% drop rate, full fine-tuning gave 89% and 53%, and r=128 LoRA gave 84% and 59% while using 32GB; strong light roughly halved the performance of the checkpoint trained only on the action expert.
Reddit r/roboticsSource ↗