PteroSim 0.5.0 has been released. The core update is that .glb props become physics objects: they can be dragged into the scene or generated from Python, and they fall, collide, and can be grasped by the gripper.
Jianzhi has launched the Dex 2.0 data glove and the DAS Ego 2.0 first-person head-mounted device, building a Human Data collection system covering first-person vision, near-field wrist vision, hand motion, and touch.
ASICS America has deployed Corvus Robotics' Corvus One autonomous inventory drones at its Byhalia, Mississippi distribution center, flying 7 times each night. Counting frequency in two high-risk storage areas has increased 6x and those areas are now counted monthly, while misplaced inventory is recovered about 60% faster.
On November 10, Vbot Vita Power released the Super Robot Dog DEV Geek Developer Edition, officially priced at 22,988 yuan, with a limited-time Double 11 promotional price of 20,988 yuan. The platform comes standard with a 360° lidar, HD stereo cameras, and a microphone array, supports Bluetooth, Wi-Fi, 4G connectivity and Type-C peripheral expansion, and offers six software foundations: spatial memory and navigation, following, local visual recognition, voice interaction, the RCP robot control platform, and an action package repository.
A developer built an open-source desktop companion robot using a MacBook, an Android phone, and a Raspberry Pi Pico W: the Pico W drives the two servos of a 2-DOF pan-tilt head, the MacBook uses MediaPipe and AprilTags to recognize people and convert angles, and the phone screen displays eye animations that can track faces.
Before procuring service robots for multi-floor scenarios, four autonomous elevator capabilities need to be verified: calling the elevator on any floor, selecting a floor inside the car, detecting door opening and safely entering and exiting after the car levels, and re-localizing after exiting the elevator and seamlessly resuming the task. The REEMAN elevator control module connects to the elevator door open/close and floor signal lines through a UWB elevator gateway box, a main control box, and a button panel; the floor signals are non-polarized to simplify wiring. Single elevators use local LoRa point-to-point communication, while multiple elevators use centralized MQTT scheduling; its Fly Boat AMR once transported 200 kg through a 1.15 m elevator at an electronics factory.
REEMAN completed a one-day on-site route deployment for its Fly Boat factory delivery robot at a precision electronic connector factory in Dongguan, establishing a roughly 150-meter workshop-to-warehouse transport route with a payload of about 120 kg per trip and a daily transport demand of about 90–110 trips. The route integrates automatic door and elevator control, and employees can call the robot via a one-key remote call button. Shelf lifting and point-to-point shelf transport remain in the next planned phase and have not yet been deployed.
At CeMAT ASIA 2026, Jiexiang Lingyue presented its upgraded full forklift robot family in its first offline group showcase. The FK series demonstrated a 1.2-ton payload and 2-8 m lifting in live vehicle demos, and the new 8 m model has entered the actual project implementation stage. The FK-RS high-bay narrow-aisle forklift robot made its first appearance as a real machine, with a maximum lift of 11 m, and can complete two-sided operations in aisles 1.8 m wide. On site, the self-developed JMS fleet management system coordinated multi-model collaboration among the FK-RS, the latent JE-1200E, and other models, demonstrating high-bay dense storage and flat-floor sorting and transfer.
Reeman unmanned forklifts completed on-site commissioning for multi-peripheral integration with automatic doors and wrapping machines, enabling automated workflows in warehouse scenarios where unmanned forklifts interface with automatic doors and wrapping machines. The article reviews the on-site commissioning record of this integration project, covering the interfacing process between the unmanned forklifts and the two types of peripherals.
Ruiman Fly Boat logistics AMRs, with a 300 kg payload and optional 100 mm lifting, replace fixed conveyors and manual carts in receiving, put-away, replenishment, picking, and shipping. They use laser SLAM navigation, so when SKUs or capacity change, only the map software needs updating. Tasks can be triggered by WMS/MES/ERP orders, one-touch call buttons, or PLC and conveyor signals, and with elevator and automatic door modules the AMRs operate across floors and in controlled areas. In one electronics factory deployment, the AMR carried 200 kg of cargo through a 1.15 m wide elevator car without manual assistance.
Packsize and Swisslog Logistics have formed a partnership to incorporate packaging automation into overall warehouse automation design, helping customers design, sequence, and implement fulfillment systems. The two companies say the joint solution reduces touches, eliminates waste, and increases throughput, and has already been deployed in multiple global projects, integrating on-demand custom packaging, ASRS, fulfillment systems, and orchestration. Packsize emphasizes that packaging equipment is a strategic control point affecting the ROI of warehouse automation investment, not an end-of-line ancillary investment.
Berkshire Grey has released multiple enhanced capabilities driven by its unified AI software platform BG Pilot, covering Scoop unloading perception, Stride intelligent orchestration, and Core precision packing.
London, UK-based robotics startup Rogue Cortex has exited stealth, raised about $4.5 million in venture capital, and launched a hardware-agnostic software development kit (SDK), ready-made robotics applications, a developer program, and a customizable drone development platform.
Comau and Automha jointly showcased integrated food and beverage automation solutions covering production, packaging, warehousing, and distribution at Cibus Tec 2026 in Parma, Italy, also integrating Invent's software capabilities.
A developer designed an open-source closed-loop stepper driver for their 3D-printed robotic arm. It uses dual encoders to separately measure motor position and the actual joint position after the reducer, compensating for backlash in software rather than relying on a high-precision reducer. The driver is based on the ESP32-S3 and TMC2209, and the author aims to keep the cost at about $20. The code is already on GitHub. The author also asks whether anyone has made similar attempts and how to handle backlash compensation without destabilizing the control loop.
A source code walkthrough of GlanceWAM examines its visual imagination, Goal Attention, time conditioning, Flow Matching training, and asynchronous inference mechanisms. The approach reduces WA through low-frequency future frame generation and high-frequency action prediction (the original text is truncated here and does not give the complete metric).
Rovant, a desktop ROS 2 IDE independently developed by its author, has released v0.2.0. While debugging Python nodes, users can view live telemetry in a bottom panel via rosbridge WebSocket, including flight phase, altitude, battery voltage and current, IMU acceleration and angular velocity, and cmd_vel, without switching to a separate ground station.
At CeMAT ASIA 2026, Daneng Electric Control exhibited four complete electric control and drive systems along with full-chain supporting products, and disclosed its technical layout for "embedding physical AI into motion control loops." The solutions cover warehouse and logistics equipment such as aerial work platforms, forklifts, and wheel loaders, as well as on-site intelligent mobile equipment such as AGVs and cleaning robots. Among them, the "one control, multiple capabilities" platform uses a single set of hardware to support motion control for multiple types of equipment. Its physical AI layout has four layers: perception-fusion electric control, a digital twin and transfer learning platform, an open intelligent control middle platform, and full-lifecycle operation and maintenance optimization.
An independent developer has built an offline voice-control "brain" in Python for an environmental robot simulation in Webots, supporting Spanish, English, and Polish and able to answer with simulated sensor data such as temperature, humidity, air quality, and obstacles. It includes a safety lock: it shuts down when hazardous conditions are detected and can explain why it stopped when asked "Why did you stop?" It is currently simulation-only with no physical robot; the English and Polish questions in the demo are played as synthesized speech. The author is not selling it yet, is seeking feedback on use cases, and has set up a free waitlist.
The paper proposes that autoregressive policies can achieve real-time execution by adjusting the tokenization horizon and applying constrained decoding, thereby guaranteeing strict latency bounds and enabling multi-trajectory decoding. In simulated and real-world environments, the autoregressive policy significantly improves task completion speed over synchronous inference and consistently outperforms equivalent-level flow-matching policies. The authors note that autoregressive policies also have inherent advantages of faster convergence and better generalization in instruction following. The work was published at CoRL 2026.
Pranjal Aggarwal and Sean Welleck propose in an arXiv paper to formulate embodied tasks as interaction with digital software: the software renders the physical environment as a screen image and provides controls for acting in it, and a computer-use agent (CUA) completes the task using screenshots and keyboard and mouse actions.
The study deploys a cucumber length-measurement pipeline based on YOLO26n detection, prompt-based segmentation, and medial arc spline estimation to NVIDIA Jetson Orin Nano and Raspberry Pi 4, and compares both against an RTX 3050 Ti workstation.
The authors propose A2-MEAS, an embodied multi-agent framework that uses code as a scaling interface, combining corrective language, spatial evidence, execution history, and action proposals into correction codes; during training, MetaBrain provides supervision and runtime guidance.
Why it matters: The framework uses code as a scaling interface, injects corrective language and execution history into the policy, and provides quantitative comparisons across benchmarks and real-robot tasks.
Lodos is a simulation framework designed from scratch, using new broadphase and narrowphase collision detection and contact dynamics computation to specifically handle mesh-mesh collisions between detailed meshes. The authors state that its physical fidelity is comparable to existing mature simulators, and that in mesh-mesh collision scenarios its throughput is about an order of magnitude higher; the source code has been released. The work targets contact-rich scenarios in large-scale parallel rigid-body simulation that are limited by approximating collision geometry with primitives such as spheres, capsules, cylinders, and boxes.
ActPrune proposes a training-free visual token pruning method that moves the pruning decision ahead of the vision encoder and uses the action chunk predicted at the previous control step as a geometric prior. In the fixed third-person view, the method retains image patches near the projected end-effector trajectory along with semantic anchors; in the wrist view, it prunes patches that remain unchanged after compensating for action-induced camera motion.
This introductory tutorial covers six-step commutation for brushless DC (BLDC) motors, explaining three key implementation areas: Hall sensor signals, building commutation tables, and STM32 complementary PWM output. Aimed at robotics developers, it maps commutation logic to MCU timer configuration. It is a combined theory-and-practice explanation and does not provide specific experimental platform parameters or test results.
Kassow Robots, Joytek, Bosch Rexroth and Reply have jointly developed an automated kitting system for automotive manufacturing that combines a Joytek AMR carrying two Kassow KR1018 seven-axis collaborative robotic arms with a unified control architecture.
The Sesame robot modification project has completed circuit board wiring and leg modifications; the whole unit has been assembled and is responsive. The circuit board uses 3 wires to provide direct power passthrough, adapting the battery pack with a balance connector to connect to a smart charger; the 5V BEC output is connected to the servo bus via a switch, and supplies power to the ESP32-S3 via a diode, preventing the servos from drawing power from USB when connected to a PC. The next step will be final testing and designing the enclosure.
The article provides an in-depth analysis of the ros2_control hardware interface, covering three areas: controller management, joint command dispatch, and motor state readback. Aimed at robotics developers, it explains how the hardware interface passes commands and states between controllers and motors.
MuJoCo 3.17 adds bending elasticity and self-collision for soft bodies, along with a new batched parallel interface. Its discrete bending model deviates from beam theory by 0.7% to 7.4%, self-collision peaks at 50 pairs, and batching delivers a 13.29x speedup with bitwise determinism.
At the World Internet Conference in Wuzhen, Moxin Technology released MoWorld 2.0, a new-generation general-purpose 4D world model that integrates more than ten physical elements, including gravity, elasticity, buoyancy, lighting, soft bodies, fluids, rigid bodies, deformable bodies, and thermal dynamics, into a single model to more accurately simulate object motion, collisions, and environmental changes.
The article focuses on ROS2 mobile robot simulation based on ros2_control, covering interface development, ground-truth validation, and the boundaries of the approach, for use in scenarios such as navigation benchmarks and SLAM algorithm comparison. Starting from the problem of the wheels not turning, it outlines how ros2_control is integrated into simulation and its scope of application.
SUPMAST brought its "Satongxue" AGV unmanned transport robot and in-plant smart logistics solution to the 22nd China International Grain and Oil Expo in Xiamen, held November 6 to 8, with live demonstrations of fork picking, stacking, and alignment correction at Booth C123 in Hall C1. The AGV uses laser SLAM + reflective pillars + IMU fusion navigation and requires no magnetic strip guide rails; the accompanying Yunshu S7 RDS scheduling system supports a maximum concurrency of ≥20 units and task allocation latency of ≤500ms. In the Yihai Grain and Oil project, it handles a production takt of 3 minutes per pallet, reducing the error rate by more than 95% and the cargo damage rate by 94%.
At CeMAT ASIA 2026, Hai Robotics is exhibiting the FlashPick system's double-deep solution and the K1200 heavy-duty latent lifting robot. Global signed cooperation for the FlashPick system has exceeded 20,000 units, with the largest single project surpassing 5,000 units. The double-deep solution can store 45,000 totes within 1,000 m² of space, with throughput of 4,000 totes per hour; the K1200 can collaborate with ACRs and supports unified scheduling of up to 6,000 robots on the same site.
Boston Dynamics this week launched its second-generation autonomous mobile unloading robot, Stretch Gen 2, which can unload up to 1,000 boxes per hour, has a battery that can last two shifts, and can charge to 90% in about 75 minutes.
Lingji Robotics announced an upgrade to its embodied intelligence model service platform Dexmal MaaS, with a focus on opening post-training capabilities for real-world scenarios. Developers can upload robot manipulation data and complete training and inference deployment in the cloud based on DM0.5.
NVIDIA has released VFlash, a general-purpose decoding framework for fast visual planning that replaces token-by-token coordinate generation with parallel decoding of complete visual primitives, allowing it to predict robot grasp positions and motion trajectories in one pass. At batch size 1 on H100, single-generation speed improved by about 25x; across four MolmoSpaces tasks, the world action model averaged a 70.2% success rate versus a 62.6% baseline. Jim Fan shared that it achieves up to 12x faster action decoding, 5.1x overall robot inference speedup, and up to 61% lower 3D trajectory error.
Why it matters: NVIDIA's new decoding framework changes visual planning from token-by-token generation to parallel prediction, and provides speedup and success-rate comparisons across multiple robot and autonomous-driving benchmarks.
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.
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.