Autel Robotics launched the AAGI (Autel Air-Ground Intelligence) solution brand in Shenzhen, and together with Daohe Tongtai and Saifang Technology introduced the AIP foundation along with three industry application platforms: EIS 2.0, Avant Hub 2.0, and Skyshield 2.0.
The "Embodied Intelligence & Robotics Frontier Trends and Intel Solutions Exchange," hosted by Intel and jointly convened by the Shenzhen Robotics Association, will be held on November 13, 2026, at Shenzhen Weixin Software Park, with limited registration open to algorithm, hardware, complete-machine, and supply-chain partners.
Community developer @baogerbao created the open-source project bruhOS, which lets the Hiwonder TonyPi humanoid robot understand natural language commands and break them down into verified skill sequences such as detect, walk, grab, and release.
Suzhou sandisiwei has launched the Jingxun V4 research-grade structured light scanner, featuring a measurement-grade DLP4710 optical engine, interchangeable C-mount lenses, and a Hikvision 14MP global camera, with CUDA acceleration throughout reconstruction and point cloud processing. The V1 to V4 series all offer open-source modules and support secondary development with libraries such as OpenCV, Halcon, and VisionMaster, and can be combined with robotic arms for vision guidance and measurement. The device targets 3D reconstruction of diffuse-reflection objects and comes with structured light reconstruction and PCL point cloud courses.
Shanghai INESA and Shanghai Innovation Institute jointly released the "Flywheel Turns, All Things Arise" INESA intelligent computing digital-chain ecosystem. The INESA Intelligent Computing Cloud Token Factory addresses enterprises' question of whether they dare to use token services through triple trust: service operations, an independent ecosystem, and security compliance. The factory provides production-grade inference capabilities through a high-performance inference engine and elastic scheduling, and offers full-stack domestic delivery with full-chain call traceability and evidence retention. The all-in-one machine released at the same time features the first batch of "Data Search" functions, enabling rapid data discovery and precise supply-demand matching after out-of-the-box access.
At the 2026 Tencent Global Digital Ecosystem Summit, Heli showcased its FICS digital forklift solution and built the FICS industrial internet platform with Tencent Cloud to advance connected, cloud-based forklifts and real-time collection of operating data. More than 70,000 vehicles are currently connected to the platform, serving over 500 customers; the platform can coordinate fleet resources for intelligent dispatch, predict faults and safety risks, automatically remind about maintenance, and track energy consumption.
Based on project experience over the past two years, Hikrobot has upgraded its STRP case storage and picking solution across three dimensions: division of labor, flexibility, and throughput, and introduced the HAPS intelligent picking system. The STRP dual-side solution places tracks on racks on both sides of the aisle, achieving both increased storage capacity and higher task completion rates with 30% fewer T50 units; the industry-first cross-aisle STU connects adjacent aisles with dedicated curved tracks.
To address the inability to mix CVC600 and CVC700 controllers in a scheduling system, Kollmorgen offers a software-level compatibility solution: update the CVC700 to firmware with the BC suffix (latest 2.8.12 BC) and add the corresponding license in the scheduling system, enabling unified scheduling of newly added CVC700 vehicles within existing CVC600 legacy projects.
At the 2026 China Automation Congress, Kyland Technology exhibited its Physical AI solutions and a fully domestically produced embodied intelligent robot electronics architecture. The architecture integrates the Hongdao Intewell industrial operating system, the AUTBUS deterministic industrial bus, MaVIEW agent tool software, and domestic AI processor chips. In on-site technical tests organized by the National Industrial Information Security Development Research Center, robots equipped with this architecture passed tests related to fault isolation, cybersecurity, and real-time control under scenarios including joint power loss, simulated network flooding attacks, and simulated Trojan virus infections.
REEMAN has published a deployment case at a chemical shipping company in Shanghai, where the Ironhide autonomous forklift links pallet pickup, automatic stretch wrapping, elevator floor transfer, and indoor and outdoor delivery, covering about 600 kg per trip, about 650 meters round trip, about 12 minutes per cycle, and about 50 cycles per day. The forklift exchanges station-ready and wrapping-complete status with the wrapper through an industrial interface, and coordinates requests, entry, and exit with the building elevator control system. During commissioning, the team adjusted drive-wheel downforce to resolve ramp slipping, and worked with the wrapper manufacturer to correct the pallet handover process.
A developer independently built a prototype remote pneumatic turret connected to a zombie defense game, where players receive real-time camera feeds through a browser and remotely control a physical turret located in Phuket, Thailand. The system consists of 3D-printed mechanical parts, a servo gimbal, a pneumatic firing mechanism, electronic control, and networked command transmission; the game visuals are made in Unity and projected onto a physical screen. The author frames it as a "remote physical control" experiment and is seeking input on communication reliability and latency, as well as on architectures for safe remote operation.
The paper proposes actuator-aware (AA) observer inputs: the altitude and attitude observers use limited virtual inputs filtered by an assumed rotor model and aligned with the measurement delay, while the horizontal observers use acceleration reconstructed from measured attitude.
This paper releases an open-source ROS 2 software stack that restores ROS 2 support for the Franka Emika Panda and resolves the long-standing unreliability of its external position control interface. The authors' analysis attributes vibrations and protective stops to external control loop timing and sampling jitter rather than to limitations of the robot itself, and on that basis they propose an asynchronous hardware interface that decouples real-time communication from the ROS 2 control loop, a rate-matching mechanism for slower command sources, and a position-domain reference generation strategy.
The authors released Sensorium, an open-source Python library built on ROS and ROS2 middleware that records, processes, annotates, and curates multimodal surgical data from configurable robot and sensor streams, covering operator-side acquisition, configurable processing, semantic annotation, and episodic dataset generation. The library was evaluated on 1516 recordings of phantom, ex vivo, and in vivo porcine experiments involving multiple surgical tasks and sensing configurations, with preliminary usability feedback reported.
cuPIQP is a GPU batched differentiable quadratic programming (QP) solver based on a proximal interior-point method, with unified support for dense, sparse, and multistage problems. In benchmarks with up to 16,384 QPs per batch, it solves up to 18.8 times faster than Moreau and 4.26 times faster than eight-core PIQP; in an end-to-end learning task, training is accelerated by 4.6 times over QPAX and 7.8 times over Moreau.
The authors propose REA, a routed embodied agent runtime that lets a reasoning-focused System 2, an embodied router System 1, and reactive System 0 policies cooperate within a single runtime, with the core rule that a running policy never waits on the brain.
The paper uses higher-order kinematic derivatives of serial robots to propose an aspect-preserving real-time numerical inverse kinematics method, yielding the QuIK4 and QuIK5 solvers with fourth- and fifth-order convergence. The method also includes an aspect-preserving step limiter that extrapolates the Jacobian determinant along the step to predict and avoid singularities, as well as a certifier that uses Hermite interpolation to verify the aspect of solutions and a certified restart algorithm. The authors claim the failure rate is reduced by up to four orders of magnitude compared with existing methods, and they release a C++ library with ROS 2 integration.
This paper proposes a voxel mapping system that uses parallel computing to simultaneously generate occupancy grid maps (OGMs) and Euclidean distance transforms (EDTs), and incrementally builds a global EDT to output high-frequency local distance information for online motion planning. The system uses GPU programming to compute EDT in parallel within local volumes, then continuously integrates new observations into the global EDT via a parallel wavefront algorithm while preserving historical observations.
RTPolicy is a multi-view visuomotor policy that uses view-aware feature fusion and visual compression to aggregate multi-camera information into a compact token representation, and uses a flow-matching action generator to reduce action-generation overhead. On the 50 tasks of the RoboTwin 2.0 single-task clean evaluation, it achieved an average success rate of 52.26%, higher than the strongest leaderboard baseline π0 at 46.4%.
The paper proposes a bound-constrained kinematic calibration method to improve the positioning accuracy of a 6-DoF robotic needle-guidance manipulator. The method constrains a 19-parameter geometric identification model with physically plausible parameter ranges, treating the bounds as active optimization constraints to mitigate parameter coupling and overfitting. In simulation, end-effector RMSE dropped from 3.422 mm to 0.690 mm (a 79.8% improvement); in benchtop experiments, trajectory validation RMSE was 0.865 mm and coordinate grid validation RMSE was 0.610 mm.
CalibSwitch is an observation-driven camera-LiDAR extrinsic calibration framework that separates absolute extrinsic recovery from selective state maintenance.
The authors present Veloxity, an open-source embedded UAV autopilot written entirely in the memory-safe Rust language, offering a minimal, modular foundation for autonomous drones. They compared it with equivalent C++ autopilots in simulation, on hardware testbenches, and in outdoor waypoint-tracking flight tests; the results showed functional parity with improved performance, indicating that memory-safe languages can be used for reliable, high-performance autonomous aerospace firmware.
Alibaba Cloud is advancing supercomputing-intelligence integration through its E-HPC platform, using a unified computing network to simultaneously carry HPC, AI training and inference, and agent tasks, and has launched a four-layer E-HPC agent platform. Its RoboAgent connects the embodied intelligence chain from device-side collection, annotation, and training/inference to simulation deployment; HPDA Robotics includes the built-in APAK acceleration engine and claims that multimodal data processing cost-effectiveness can improve by 2.1 to 5 times. E-HPC has also formed three dedicated solutions for chip design, AI4S and life sciences, and embodied intelligence.
On the eve of the Wuzhen Internet Conference, nearby industrial parks host AI companies that are not competing on large models: Shangyuan Zhixing's unmanned-vehicle intelligent skateboard chassis shipments have led the country for three consecutive years; Freetech's Wuzhen base posted revenue of more than 2 billion yuan last year, with its production line rolling off one product every 13 seconds on average. Xinshengji makes commercial-grade cleaning robots for airports and shopping malls, while Sainade uses a tracked chassis plus a robotic arm to solve the last-20-meter loading and unloading challenge in logistics.
The author uses EvergreenSLAM, a self-developed 2D lidar SLAM project, as Claude Code's spatial memory. Through the egs command line, each location corresponds to a folder and notes.md on the lidar map, with the agent writing notes itself, and a two-day real-world demonstration was completed on an XLeRobot.
An independent inventor in Ontario is seeking feedback from the robotics, teleoperation, and haptics fields on his network layer project, which is off by default and only enables bounded continuity handling when the connection is unstable to keep output smooth. In his self-testing under severe burst packet loss injected over Ethernet, the continuity score rose from 65 to 85 (out of 100); under WiFi gaming-like conditions, output smoothness fluctuation decreased by about 71%; average overhead on a clean network was +0.0009 ms; and all 36 discrete commands were delivered correctly with no phantom or duplicate events.
A developer built a small desktop robot called Little ESP32 deskbot using a Waveshare ESP32-S3 1.46-inch OLED board paired with GH-S37 micro servos. They connected it to the free XiaoZhi AI service, flashed firmware using its sample code, and added their own scripts to implement facial expressions and servo movements.
The author has released Holocron Engine (app.holocron-engine.com). After a user describes a robot, it designs the body, selects real motors and electronic components, plans the wiring, generates printable parts, and writes firmware, then tests it in MuJoCo. Wheeled robots, robotic arms, quadruped robots, and drones are supported; humanoid robots are only partially supported. The author says it can be tried for free and is openly soliciting feedback, asking where problems arise, what is missing, and what breaks first during an actual build.
Counterpoint Research's Global Humanoid Robot Tracker report forecasts that cumulative global shipments of humanoid robot AI accelerators will exceed 1 million units by 2030, with a compound annual growth rate of 144% from 2026 to 2030.
Zhongke Semiconductor has mass-produced the CT1906H motion control chip, using a monolithic integrated GaN HEMT process to pack 6 GaN half-bridge power transistors and 3-channel gate drivers into a 5×5mm LGA package, targeting micro servo joints with outer diameters of 14–45mm.
XHEART (XinXin Hangtu) launched the automotive-grade SoC X7 Ultra on October 29, featuring 700 TOPS of large-model compute and achieving 98.7% compute utilization in real production autonomous-driving model tests.
XHEART has launched the X7 Ultra autonomous driving chip, with large-model compute reaching 700 TOPS, memory bandwidth consumption reduced by 80% versus industry flagship products, and energy efficiency improved by 100%. The chip follows a "large models define the chip" approach, working backward from model inference requirements to the architecture, with measured NPU compute utilization reaching 98.7%. As of October, its first-generation X7 series has been deployed in more than 10 vehicle models, with cumulative shipments exceeding 200,000 units, and another 40 vehicle models designated for future delivery.
In each round, Dijkstra selects the node with the smallest cumulative cost from the source among the nodes not yet finalized and formally finalizes it, then performs relaxation updates on its neighbors; under the premise of non-negative edge weights, this guarantees the globally shortest path. If negative-weight edges exist, a finalized node may be overturned by a cheaper route, so standard Dijkstra no longer guarantees correctness, and algorithms such as Bellman-Ford must be used instead.
REEMAN outlines an approach for retrofitting existing stretch wrappers using Ironhide autonomous forklifts: the forklift handles pallet pickup, placement, and warehouse transport, while the stretch wrapper continues to perform packaging, requiring a machine control interface, status feedback, and safety interlocks. In its wireless docking demonstration, pickup alignment deviation was within 2 cm and turntable placement deviation was within 5 cm, with the demonstration process taking about 6 minutes. There is also an Ironhide 3.0 deployment at a factory in Jingmen, Hubei; the two applications are independent of each other, and the data comes from REEMAN application materials and has not been independently verified.
Zhuoyide and Tencent Cloud signed a strategic cooperation agreement at the 2026 Tencent Global Digital Ecosystem Summit. The collaboration centers on embodied intelligence edge inference, moving Moya's voice interaction tasks to nearby edge nodes via Tencent Cloud EdgeOne. On-site testing at the summit showed Moya's first-token response was 30% faster and interaction jitter was reduced by 4.6 times, with end-to-end latency dropping from roughly 1–2 seconds to under 1 second. As a result, the Moya body can carry less onboard compute, balancing battery life, safety, and interaction experience through device-edge collaboration.
The REEMAN intelligent pallet wrapping and handling workstation uses an external wireless communication module to link the 1.5-ton payload Ironhide autonomous forklift with a turntable wrapping machine into a continuous process. The module can use I/O, RS485, Ethernet, or CAN interfaces depending on the equipment controller, and the wireless link uses LoRa or Wi-Fi. In the demonstration, pickup alignment deviation was ≤2 cm and drop-off deviation was ≤5 cm; wrapping and film cutting are completed automatically, and the full handling and packaging process takes about 6 minutes.
REEMAN customized the forks on its Titan Mini autonomous forklift for a high-end electronic materials factory in Anhui, enabling it to directly handle the customer's existing wheeled mobile material tank trolleys without additional pallets. The trolley weighs about 275 kg when loaded, the Titan Mini has a rated payload of up to 2,000 kg, the one-way point-to-point transport distance is about 260 m, and it uses LiDAR SLAM navigation; under the current site configuration, a full work cycle takes about 4.5 minutes.
At an electronic materials factory in Jingmen, Hubei, REEMAN Ironhide 3.0 autonomous forklifts complete an integrated process: picking up goods in the production area, passing through two electric doors, handing off to a stretch wrapper, and delivering to the warehouse. The actual load is about 1,300 kg, with a rated load of 1,500 kg. The customer reports about 75 transport cycles per day, about 6.5 minutes per task, and a loaded route of about 270 meters, with support for automatic return to a mobile charging station. The forklift's reference price is about USD 9,900, and integration with doors and the stretch wrapper requires customization based on the site's controller interfaces.
A weekend PoC mounts an old Redmi 9 on a Thymio II using Lego, with the phone running ML Kit face detection (including smile probability) and image annotation, rough lighting/motion estimation, animated expressions, and voice output, while the robot only executes wheel-speed targets and sends back sensor data. Behavior is a small state machine: cruise → back up → turn → observe → stop steadily; when a face is detected it enters a "meet" state and can answer "what do you see." Obstacle-avoidance learning is simple: after a collision it tries turning for 1.2s, 2.4s, or 3.8s, scored by the free-driving time before the next contact.