One year after NVIDIA open sourced its Aerial wireless software, global developer adoption of its AI Aerial and Sionna software has grown 10x, downloads of its open source 5G/6G tools have surpassed 1 million, and more than 8,000 research and academic institutions are using them.
During Double 11, the Cainiao Zengcheng Tmall Supermarket warehouse in Guangzhou deployed 135 ZeeBot climbing robots to complete 28 hours of peak order fulfillment in a storage area with 9-meter-high, 20-tier racks and 42,000 bins, achieving a 99.99% on-time rate for wave outbound orders. The robots accumulated over 140 km of vertical travel, with a peak of 11 km in a single hour and a vertical climbing speed of 1.2 m/s; they attach to racks with dual grippers and require no dedicated tracks. Overall warehouse storage efficiency is about 3 times the original, labor efficiency has risen to about 2.5 times, and output per workstation equals 2 to 3 picking employees.
Dream Labs, spun out of NVIDIA's GR00T team, has completed a $90 million seed round and launched Dream API, a publicly registrable, explicitly priced robot foundation model API service.
Why it matters: Dream Labs prices robot brains by the hour, giving readers a clear view of how embodied intelligence is shifting from project-based pricing to an on-demand cost structure.
Shanghai Kepler has built a closed loop from simulation training to real-machine validation for industrial humanoid robots based on NVIDIA Isaac Lab, Isaac GR00T, and Cosmos. The company develops its own planetary roller screws, linear and rotary actuators, joint modules, and robot bodies, introduces real dynamics parameters into Isaac Lab for Sim2Real iteration, and validates them in scenarios such as workshop assembly and CNC machine loading and unloading. Kepler is also working with a team from Zhejiang University's College of Artificial Intelligence to develop an embodied intelligence foundation model for long-horizon tasks.
Avnet, together with the National-Local Joint Humanoid Robot Innovation Center, produced a 76-page white paper (August 2026) that uses five functional domains and six core modules as its framework to break down 10 categories of industrial deployment challenges, including heterogeneous computing workloads and platform adaptation, multi-axis real-time control, and dexterous hand integration.
Intel will hold the Embodied Intelligence & Robotics Frontier Trends and Solutions Exchange in Shanghai on November 10, limited to 100 attendees, with a live demo based on Intel Core Ultra X7 358H (Panther Lake).
Zhang Zhengyou calibration, nine-point calibration, and hand-eye calibration are not parallel alternatives; they are progressive layers, from camera optical calibration to planar coordinate alignment to 3D cross-system pose unification. Zhang Zhengyou calibration solves only the camera intrinsic matrix and distortion coefficients and requires 15–25 calibration board images at different poses; nine-point calibration uses 9 corresponding points of robot coordinates and pixel coordinates to compute a planar hand-eye matrix, suitable for 2D sorting, loading/unloading, and placement; hand-eye calibration solves the 6-DOF pose transformation via the AX=XB equation, targeting 3D grasping and precision assembly. Selection should match the scenario; more complex is not always better.
At Mobile World Congress 2026, Fibocom exhibited products and solutions in 5G FWA, on-device AI computing, and robotics, including an FWA solution based on the FG390 series 5G-A modules supporting 3GPP Release 18 and Wi-Fi 7, as well as a 48 TOPS AI edge computing gateway.
Geek+ announced a 24/7 warehouse autonomous operations plan, aiming to keep warehouses running around the clock and continuously optimize through real operational experience. The plan relies on its end-to-end robotics product portfolio, the Geek+ Warehouse Brain software platform, and its global deployment and service network, and uses the Gravity unified embodied AI framework and the Gravity 4D embodied world model to extend automation from structured handling to more variable operations and exception handling.
Shanghai AI Lab has launched its laboratory operating system Sage·LabOS, which uses Sage SCP-Lab as a unified interface and the Sage physical world model W0 to drive robots in completing experimental operations, connecting heterogeneous devices for autonomous execution and data return. The system has four core capabilities: capability discovery, task orchestration, execution scheduling, and data feedback. In a lipid nanoparticle (LNP) formulation optimization task at Lingang Laboratory, it completed five rounds of dry-wet closed-loop iterations, automatically synthesizing and validating 335 formulations, with encapsulation efficiency rising from 67% to 98%.
Why it matters: The source provides the four core capabilities of the autonomous laboratory operating system and measured dry-wet closed-loop data from LNP formulation optimization, showing how robots can be integrated into scientific research workflows.
Centered on implementing GNSS positioning and PPS timing, the content covers three stages: NMEA sentence parsing, time synchronization, and positioning quality assessment. The original text does not provide specific module models, accuracy metrics, or experimental conditions; it only identifies these three technical points at the title level.
ROS 2 robot model description involves three parts: URDF, Xacro, and joint transform publishing. URDF defines the robot's link and joint structure, Xacro simplifies model authoring through macros and parameterization, and joint transform publishing connects the joint states in the model to the ROS 2 coordinate transform system.
Ambi Robotics is installing new versions of its AmbiSort sortation system at 8 sites ahead of peak season and expects customer throughput to grow 9% to 10% year over year. The company sends about half its team to sites for inspections while the other half stands by to handle issues; it also pre-positions spare parts at sites in advance and pushes AI system improvements only after controlled-environment A/B testing. Its customer service hotline is answered by the same people responsible for on-site training and repairs, in order to build customer trust.
At CeMAT, Geek+ exhibited the general-purpose humanoid robot Gino 1, the RoboShuttle Hyper case-to-person system, and the SkyCube pallet-to-person system, and demonstrated a comparison of prediction and execution by its self-developed Gravity embodied model in clearing bins of mixed items and picking unfamiliar items.
Texas Instruments has released the pre-certified multiprotocol communications system-on-module TICS100MOD and the dual-channel IO-Link master TIOM2212. The former is based on the AM2612 MCU and DP83826AI Ethernet PHY and can switch between EtherCAT, EtherNet/IP, and Profinet via a firmware update at startup.
Geek+'s wheeled humanoid Gino 1 was released on February 10, featuring 14 degrees of freedom in its dual arms, three-fingered dexterous hands, a Jetson Thor compute platform, and a VLA fast-slow collaborative system; it can perform four types of work: picking, box handling, packing, and inspection. The article compares it with cases such as Agility Robotics' Digit and Robot Era's L7, pointing out that the key to humanoids entering warehouses lies in interfaces, data sources, and the maintenance response radius, rather than the form factor itself. Geek+ says Gino 1 already has mass-production capability and can connect to its own fleet formed by its scheduling system, picking stations, and AMRs for storage, picking, handling, and inspection.
DJI has released the all-scenario lightweight flagship industry drone DJI Matrice 5T, the first lightweight industry model to come standard with LiDAR, millimeter-wave radar, and a full-color omnidirectional visual perception system. The official mainland China price is 57,488 yuan, and pre-orders are open.
Elite Robot and Shanghai Xijia Semiconductor jointly implemented an 8-inch silicon carbide substrate laser lift-off + thinning fully automated production line. The laser unit processes a single wafer in 20–25 minutes, with yield above 99.5%. A composite robot plus automation system handles autonomous wafer transfer and high-precision alignment; combined with laser modification and ultrasonic lift-off processes, it raises overall production efficiency by more than 30%. The solution uses chained automation to eliminate material transfer and positioning losses between process steps, and applies intelligent scheduling to unify process parameters and ensure line-wide consistency.
Guyueju released a tutorial explaining the complete workflow from URDF modeling to MoveIt2 grasping operations for a robotic arm plus dexterous hand. The material provides only the title and does not give specific steps, parameters, or code details.
Incremental encoder acquisition involves three stages: quadrature decoding, hardware counting, and high-speed pulse loss troubleshooting. The content covers quadrature signal decoding methods and hardware counter implementation approaches, and provides troubleshooting ideas for pulse loss under high-speed operating conditions.
For ROS 2 tf2 coordinate transforms, this content analyzes the coordinate tree structure, static extrinsic configuration, and troubleshooting of RViz display misalignment. The original text does not provide a specific robot model, version number, or experimental data; it only explains the use of tf2 and the localization of common issues from a conceptual and debugging perspective.
The 14th installment of Gu Yue Ju's "Dexterous Hand Practice" series discusses when to introduce ROS 2 in dexterous hand development and how to separate host communication from real-time control. The material provides only the title and summary, with no specific solution details.
The article analyzes signal encoding and decoding in CAN bus DBC files, focusing on the correspondence among start bits, byte order, and physical value conversion. It is organized around DBC signal definitions to help readers understand signal positions within messages and how raw values are converted to physical values.
Force Machine has fully upgraded Dexmal MaaS, connecting the complete chain from data collection and policy training to cloud inference and real-machine deployment, and supports three model optimization pipelines: SFT, DAgger, and RECAP.
REEMAN completed the on-site deployment of the Ironhide autonomous forklift in about one day at a lighting manufacturing factory in Zhejiang, for pallet transport between a covered outdoor storage area and an indoor warehouse. In actual operation, the forklift has a maximum payload of about 600 kg, a one-way route of about 100 meters, and performs about 140–180 transport tasks per day; the reference equipment price is about USD 9,900. During deployment, engineers also adjusted the transport route based on the actual situation of temporary inventory occupying the aisle.
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.
RegimeVGGT proposes a training-free, layer-wise compression method that achieves a 6.7x speedup over the memory-optimized VGGT* with unchanged reconstruction quality. Through spectral analysis, probing, and causal analysis, the authors find that VGGT's shallow layers lack cross-view structure, its middle layers handle cross-view alignment, and its deep layers are redundant for dense geometry, but their cross-frame attention remains critical for pose.
This paper proposes a lightweight reflection-aware front-end for feature-based stereo visual-inertial odometry (VIO) that estimates ground height in real time and rejects only feature candidates whose inferred 3D positions lie below the estimated ground. The method uses a ground-region mask to restrict the validation scope, constructs frame-level ground-height measurements from stereo height uncertainty and pose uncertainty, stabilizes the estimate with a scalar Kalman filter with NIS gating, and performs selective rejection with an uncertainty-aware safety margin.
Kawasaki Heavy Industries has launched the F Series Controller S-type controller for industrial robots, strengthening cybersecurity functions while inheriting the F series' operability and expandability. The controller supports username-password authentication, access permission management, operation log recording, and secure communication protocols such as SSH, FTPS, and HTTPS, and performs integrity checks at OS startup and application execution.
REEMAN uses unmanned forklifts such as the Ironhide 3.0 to explain that AMR forklifts suit repetitive, long-distance, multi-shift pallet routes in heavy manufacturing. At a new energy factory in Huzhou, one Ironhide 3.0 completes about 160–200 transport trips per day on a route of about 47 meters.
Perceptron has released the Egocentric 1.0 self-serve API, which converts first-person human and robot video into structured training data, outputting a timestamped subtask timeline (with sub-second-level action precision), independent activity timelines for each hand or gripper, and 3D hand reconstruction without camera calibration. The API claims to match GPT-6 Astra on subtask quality at about 1/8 the cost ($9 per video hour versus about $76), with a full-stack price of $29.
GlobalLogic's Silicon & Embedded division partnered with Haystack Robotics to design an autonomous mobile robot (AMR) from the concept stage, combining real-time perception, edge intelligence, and navigation to perform hospital-grade UV disinfection with as little manual intervention as possible. The robot offers two modes, autonomous navigation and "follow me"; the platform separates the mobile chassis from the UV payload so other modules can be swapped in later, and it reuses components such as ROS and sensor fusion.
Geek+ will exhibit its full-category robot matrix at CeMAT 2026, including the global debut of the RoboShuttle Hyper case-to-person climbing robot and a live on-site demonstration of the RAPS unmanned picking station.
Geek+ launched the RoboPallet pallet large-and-small vehicle solution during CeMAT ASIA 2026. Aimed at medium-throughput pallet operations, it uses the RP11 high-bay forklift for vertical storage and retrieval within racks, and the RP2 low-level forklift or P-series robots for horizontal transport, with all equipment dispatched centrally by the RMS robot management system.
This practical guide to Zephyr system tracing and performance analysis covers three topics: thread statistics, CTF tracing, and overhead measurement. The article discusses Zephyr's thread runtime statistics, CTF-format trace collection, and methods for measuring the overhead of the tracing mechanism itself, aimed at developers who need to diagnose real-time and scheduling issues.
This advanced Zephyr build content focuses on three build mechanisms: sysbuild, multi-image, and modular engineering. sysbuild is used to manage multi-image builds in a unified way, while multi-image and modular engineering address the splitting and organization of complex firmware. The original text does not provide specific versions, example projects, or measured data.
This article provides a practical explanation of the PD sink protocol stack, outlining the complete path from Type-C attach to the Request contract. It breaks down the key stages of the path in sequence and explains the implementation approach for the sink protocol stack to robotics developers.
A developer used a 20-second driving record with 7 cameras and a roof-mounted LiDAR from NVIDIA's public PhysicalAI AV dataset to build an end-to-end runnable real-to-sim pipeline.
From a supplier perspective, REEMAN provides a five-item checklist of mechanical prerequisites, communication architecture, and responsibility division for autonomous forklift and elevator integration. For a single elevator, a local LoRa direct connection to the elevator control module is used; for multiple elevators, MQTT is used with the fleet system queuing and dispatching. The elevator control module only coordinates calls and status and does not replace the elevator's native safety controls. In the Maoming factory case, Ironhide transports about 1,000 kg of wire rod per trip over a one-way distance of about 100 m, completing 65–85 cross-floor elevator tasks per day.
At CeMAT ASIA 2026, Seer Robotics exhibited its Robot Brain product line and several robots equipped with the platform, including the X1 PRO humanoid robot autonomously completing a water-fetching task, the P300 and P1500 AI delivery robots collaboratively avoiding obstacles, and an omnidirectional stacker forklift autonomously identifying and picking up various pallets. Robot Brain consists of three parts: Model, Cerebellum, and Neural pathways. It has been adapted to more than 400 types of core components and supports more than 2000 robot SKUs.