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#Robot models and learning
Aug 12Tue
  1. Estun Coolbot/埃斯顿酷卓45

    2025 World Robot Conference concludes; Estun Cuzhuo showcases CODROID02 and Co-Palletizer 20

    The 2025 World Robot Conference concluded on August 12. Estun Cuzhuo exhibited the CODROID02 humanoid robot and the Co-Palletizer 20 lifting palletizing system. CODROID02 stands 170 cm tall, weighs 70 kg, has a single-arm payload of 5 kg, and has 31 degrees of freedom across its body (excluding dexterous hands). Its joint modules are fully self-developed, and it uses a fast-slow system architecture combining a vision-language large model with a flow matching strategy. On site, it demonstrated part grasping and barcode scanning.

  2. Figure AI60

    Figure AI's Helix model achieves fully autonomous towel folding on a humanoid robot

    Figure AI's VLA model Helix fully autonomously folds towels, which the company says is the first time a multi-fingered humanoid robot has completed this task using an end-to-end neural network. With the architecture and training hyperparameters unchanged and only a new dataset added, it can pick items from a mixed towel pile, adjust its folding strategy based on the initial shape, correct multiple grasping errors, and untangle twisted towels using fine motions such as tracing edges with its thumb and pinching corners.

    Why it matters: The same model completes the towel-folding task with no architecture changes, relying only on added data, demonstrating a generalization path from logistics to deformable object manipulation.

  3. 赛那德39

    Sainade iLoabot-X Debuts at WRC 2025: VLA Intelligent Brain Empowers, Accelerating Commercialization of Embodied Robots

    Sainade's heavy-duty dual-arm autonomous working robot iLoabot-X made its debut at the World Robot Conference (WRC), demonstrating on-site dual-arm collaborative handling of a cumulative 40 kg of cargo to complete transfer, as well as autonomous recognition of cage cart positions and path planning to push them. Its autonomous working capability comes from Sainade's self-developed multimodal VLA vertical large model, the first in the logistics industry, which parses operational environment details through multimodal perception. The same series, iLoabot-M, has already been running stably in the tobacco, alcoholic beverage, and express logistics sectors, with the company claiming a 300% efficiency improvement over traditional solutions.

Jul 23Wed
  1. LimX Dynamics51

    SAIC Beijing and LimX Dynamics Sign Strategic Cooperation Memorandum to Build Joint Embodied Intelligence Laboratory

    SAIC Beijing and LimX Dynamics signed a strategic cooperation memorandum in Beijing, announcing the establishment of a joint embodied intelligence laboratory to conduct embodied robot algorithm R&D, system development, and toolchain deployment around automotive scenarios. LimX Dynamics will provide underlying technologies including robot bodies, whole-body motion control algorithms, VLA model frameworks, data engines, and toolchain platforms. The two parties will carry out humanoid robot data collection, training, and evaluation in automotive manufacturing scenarios, and gradually form a complete R&D process from data collection and model training to system testing.

Jun 11Wed
  1. Estun Coolbot/埃斯顿酷卓44

    Estun Cobot launches next-generation humanoid robot Codroid 02

    On June 11, Estun Cobot officially launched its second-generation humanoid robot, Codroid 02, at the 2025 Intelligent Robot Development Conference. It stands 170 cm tall, weighs 70 kg, has a single-arm payload of 5 kg, and has 31 degrees of freedom across its body (excluding dexterous hands), with all core components independently developed in-house.

Jun 7Sat
  1. Figure AI75

    Figure AI reports three-month Helix logistics deployment progress: 4.05 seconds per item, about 95% barcode success rate

    Figure AI released progress on Helix's capabilities after three months of deployment in a logistics environment: per-item processing time fell from about 5.0 seconds to 4.05 seconds, barcode scanning success rate rose from about 70% to about 95%, and the system gained the ability to handle flexible packages such as poly bags and flat envelopes.

    Why it matters: The original article provides the data scale and ablation experiment details for each architecture module, allowing readers to understand the specific sources of the logistics performance improvement.

May 7Wed
Mar 25Tue
  1. Figure AI66

    Figure AI uses reinforcement learning to give Figure 02 humanoid robot a natural, human-like walk

    Figure AI released an end-to-end reinforcement learning walking controller that lets the Figure 02 humanoid robot learn a human-like gait in simulation by imitating human reference trajectories through rewards, including heel strike, toe push-off, and arm swing. Training runs in parallel across thousands of robots in GPU-accelerated physics simulation, collecting years of simulated data in hours, and combines domain randomization with kHz-level torque feedback control to achieve zero-shot transfer to the real robot; 10 Figure 02 units run the same neural network without individual tuning.

    Why it matters: The original text provides details on the training method and sim-to-real transfer for Figure 02's reinforcement-learning-based human-like walking, offering insight into its technical approach.

Jul 29Mon
  1. FieldAI48

    FieldAI develops first risk-bounded robot foundation model FFM using NVIDIA Isaac platform

    FieldAI claims to have developed the first risk-bounded Field Foundation Models (FFM) robot foundation model, which enables multi-form robots to operate autonomously in hazardous, off-road, and other unstructured industrial environments without prior maps, GPS, or cloud communication, and has already been deployed at hundreds of sites.

Oct 12Wed