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Only Opinion#Software and compute systems
Nov 7Sat
  1. 未来机器人网 · 微信公众号38

    Daxiao explores dual-brain collaboration: from real interaction to reusable physical experience

    Daxiao proposes a "dual-brain collaboration" architecture that connects the cloud brain SenseNova's task understanding and planning capabilities with the on-device Kaiwu world model's judgment of physical states and prediction of action consequences, while an embodied Harness organizes perception, memory, skills, and control. The exploration aims to preserve a single robot's interaction experience, along with evidence and applicable conditions, so that other robots can reuse it across tasks, scenarios, and embodiments, reducing repeated trial and error. The system is organized around three progressive loops: autonomous execution, experience learning, and recursive self-improvement. It is currently at the exploration stage and has not yet provided real-machine validation metrics.

Nov 5Thu
  1. 爱范儿34

    Interview with Stardust Intelligence's Lai Jie: the rope-driven robot, AOS operating system, and Lumo-2 embodied model's "iPhone 4 moment" has not yet arrived

    In an interview, Lai Jie, founder and CEO of Stardust Intelligence, said the company's architecture combines a rope-driven robot body, the embodied operating system AOS, and an embodied model. AOS packages perception, movement, manipulation, and interaction into skill modules, can adapt to large models and Agents such as GPT 6, and lets developers build applications using natural language. Its Lumo-2 embodied model has implicit world dynamics prediction capability and, combined with reinforcement learning, builds a trial-and-error and error-correction loop. Lai Jie believes the robotics industry's "iPhone 4 moment" has not yet arrived, but may be closer than imagined.

Oct 13Tue
  1. 世界人工智能大会 · 微信公众号39

    Beyond TOPS: The Efficiency Contest for On-Device Large-Model Chips | WAIC UP! Highlights

    Yu Hao proposes that evaluating on-device large-model chips should shift from TOPS to comprehensive metrics such as effective memory bandwidth, energy efficiency, and tokens/s. A 3D-DRAM stacked cubic systolic TPU architecture measured about 80 tokens/s for INT4-quantized Decode of a 3B model at an average power consumption of 5W, with token energy efficiency of 15 token/W and bandwidth utilization of about 80%. The related 3D-TPU solution is at the sample stage, and Maitexin's AI agent MetaClaw has been adapted to Qwen, MiniCPM, and Gemma and is undergoing pilot applications.

Oct 9Fri
  1. Robohub33

    Robot Talk Episode 165: Robots behind the research—a conversation with Kushant Patel of Brookhaven National Laboratory

    In this episode of the podcast, Claire talks with Kushant Patel of Brookhaven National Laboratory about robots that work in scientific facilities such as particle accelerators. Patel develops software that helps robots and instruments perceive, map, and move through the physical world. He previously taught quadruped robots to map and inspect nuclear materials at UC Berkeley, and now develops control systems for advanced synchrotron light beamlines at Brookhaven.

Oct 8Thu
  1. Ars Technica49

    Nvidia bets on physical AI: Halos expands from autonomous driving to robot safety

    Nvidia is expanding its Halos operating system from autonomous driving to robotics, allowing developers to customize safety features without disrupting the underlying architecture. The system continuously monitors hardware and software libraries; Holoscan Sensor Bridge can be embedded in microcontrollers or FPGAs to identify corrupted sensor data. It also includes virtual environment simulation and an inspection lab program, providing safety feedback for robot development.

Sep 10Thu
  1. Robotphoenix/翼菲科技33

    RoboTechnik appears at 2026 Global Industrial Internet Conference, Li Xiangming shares paths for industrial robot breakthrough

    Li Xiangming, general manager of RoboTechnik's Embodied Intelligence Business Unit, gave a keynote titled "How Industrial Robots Can Break Through in the AI Era" at the 2026 Global Industrial Internet Conference held in Liaoning, proposing four breakthrough paths: reliability, ease of use, full-category plus embodied intelligence, and going global.

Aug 8Sat
  1. LeadeRobot72

    AMD Bets on the Humanoid Robot Brain: Analysis of the Ryzen AI Embedded X100 Series and the Industry Landscape

    At its Advancing AI event, AMD introduced the Ryzen AI Embedded X100 series processors for humanoid robots, the Kria AI SOM modules, and the Robotics Software Suite, with sampling in June and mass production in Q4. The article's analysis holds that AMD's combination of x86 real-time control, unified memory, and FPGA targets industrial quasi-humanoid and dual-track supply chain scenarios; in the short term it is unlikely to shake Nvidia Thor's roughly 68% share of the high-end bipedal segment, and its opportunity lies in capturing the installed base of industrial PCs plus discrete GPUs and serving as a second supplier.

Jul 20Mon
  1. Elite Robots/艾利特机器人28

    Elite Robots' Cao Yunan Discusses Physical AI Deployment Challenges and Solutions at WAIC 2026

    At the "Intelligent Trends Forum" at WAIC 2026, Cao Yunan, Chairman of Elite Robots, delivered a speech titled "Optically Connected Intelligence: The Strategic Outpost of Physical AI," noting that physical AI deployment faces four bottlenecks: data, models, execution, and scale. The company's self-developed "Yuanqi Primo" solution enables on-site cold start with a small number of samples, keeps sensitive data resident locally, and evolves through federated intelligence; it has already achieved scaled deployment in optical communications manufacturing. Its Suzhou super factory is expected to be completed and put into operation by the end of 2026, and the company has accumulated millions of robot operation trajectories and hundreds of millions of force-tactile sensor sampling data points.

Jun 30Tue
Apr 9Fri
  1. OFweek Robotics27

    Rubotics' Qiu Qiang: Using an "intelligent hand-eye unit" combining motion planning and machine vision to address the intelligence and cost pain points of industrial robots

    Qiu Qiang, CTO of Shenzhen Rubotics, said the company uses machine vision and robot motion planning technology to build an intelligent hand-eye unit, targeting the two major pain points of industrial robots: insufficient intelligence and high application costs. Its bathroom polishing unit can use 3D vision to detect the shape of a washbasin and automatically plan the working trajectory, shortening debugging time; the intelligent hand-eye unit can free 1 to 2 workers from hazardous environments. On February 1 this year, Rubotics signed a cooperation agreement with Japan's RBB company, beginning its "going global" push.