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#Planning and decision-making
May 26Tue
  1. PAL39

    CENTAURO project improves TIAGo Pro's precision and safety in industrial handling

    The CENTAURO project, in which PAL Robotics participates, redesigned the 7-DOF robotic arm for the TIAGo Pro mobile manipulator, optimizing the workspace to reach angles and positions that were previously unreachable. The arm integrates series elastic actuators (SEA) that can absorb impacts and measure contact force, and shifts to torque and admittance control, enabling the robot to sense applied pressure. The WebGUI v3 ecosystem adds a drag-and-drop visual programming interface, allowing non-experts to configure complex tasks in scenarios such as polishing and logistics.

May 19Tue
  1. 慧闻科技31

    Huiwen Showcases at CeMAT SEA 2026! iBenX Series AMR Overseas Debut Wins Favor!

    At CeMAT SEA 2026, Huiwen debuted its iBenX series AMR intelligent handling robots in the Southeast Asian market. The booth drew high traffic over the three-day show, attracting buyers from multiple countries. The series uses laser plus vision dual-SLAM navigation, can go from unboxing to production in as fast as 30 minutes, covers payloads from 100 kg to 1500 kg, and supports multiple forms including flatbed, lifting, underride, and forklift. In no-WiFi and weak-network environments, it can achieve multi-robot coordination through ad-hoc network distributed scheduling. It has already been deployed in packaging, new energy, textiles, electronics manufacturing, and other industries.

Apr 16Thu
  1. OFweek Robotics50

    Youlu Robotics' AI130 Patrol Sweeping Robot Tops China's Outdoor Sweeping Robot Shipments in One Year

    Youlu Robotics, with its AI130 patrol sweeping robot, rose to the top of China's 2025 outdoor sweeping robot shipments within one year. Its core product is the Master2000 embodied brain with 254 TOPS of computing power, which uses a "one brain, multiple forms" model to adapt to different robot forms such as patrol sweeping and security patrols, and it has developed its own end-to-end general-purpose LPLM multimodal model. The company's "three gates" strategy progressively moves from public residential-community scenarios into unit doors and homes, feeding real-world scenario data back into the brain to achieve "deployment-free, out-of-the-box" delivery.

  2. 德马科技23

    Damon showcases AI unmanned logistics agent solution at MODEX 2026, deepening its presence in the Americas

    At MODEX 2026, Damon Technology unveiled its AI-driven unmanned secondary sorting solution for North America for the first time. Embodied-intelligence humanoid robots work in coordination with the new-generation Flying Shuttle intelligent sorting robot to enable fully automated parcel feeding and secondary sorting; the Flash Shuttle series intelligent pallet four-way shuttle system, combined with AMRs, increases goods storage capacity by 3 times. Damon has delivered multiple turnkey projects in American markets including the United States and Brazil, serving brands such as Amazon, Shopee, and Shein, with a repurchase rate of over 80% among top key accounts.

Mar 27Fri
  1. 赛那德21

    Senad showcases iLoabot-M at LogiMAT logistics trade fair in Germany, empowering global market expansion with embodied intelligence

    Senad showcased its autonomous loading and unloading robot iLoabot-M at the LogiMAT international logistics trade fair in Stuttgart, Germany, from March 24 to 26, 2026, with live on-site demonstrations of fully unmanned autonomous loading and unloading capabilities. iLoabot-M features AI intelligent algorithms and autonomous motion path planning technology, targeting the needs of Europe's high logistics labor costs and labor shortages. Senad says its products have been exported to regions including Europe, the US, Japan, and South Korea, and that it achieves large-scale mass production through China's domestic intelligent manufacturing system.

Mar 20Fri
  1. HUMANOID25

    Humanoid demos KinetIQ-powered voice multi-robot collaboration at NVIDIA GTC

    UK robotics company Humanoid gave a live demo at NVIDIA GTC of voice-driven multi-robot collaboration powered by KinetIQ: two wheeled robots with grippers responded to visitor voice commands in a simulated shop, picking up and placing water bottles and popcorn and completing a physical handoff between robots. KinetIQ's Fleet Management system parses commands, dynamically assigns tasks, and displays real-time execution status. The demo is based on NVIDIA's open-source robotics platform, and KinetIQ is its recently released end-to-end fleet orchestration framework.

  2. Dexterity60

    Dexterity details evaluation methods and production metrics for the Foresight packing agent

    Dexterity published an article introducing system evaluation and production measurement for the Foresight packing agent. On the planning side, it was tested on four real warehouse box-type distributions, with density of 0.65–0.77 and stability of 99.7–100%, and distribution-free order statistics were used to give 95% confidence intervals; the article also found that randomly shuffling the box sequence causes local variance to collapse by about 1.4 times, making evaluation overly optimistic.

    Why it matters: The original article fully discloses the evaluation method for the packing agent, including distribution-free confidence intervals and the evaluation bias caused by random shuffling; the method can be transferred to similar systems.

Mar 3Tue
  1. Dexterity53

    Dexterity releases world model Foresight, unveils packing intelligence layer for production environments

    Dexterity has unveiled its world model Foresight, an intelligence layer that enables robots to reason about the physical world, predict changes, and execute operations; it was trained on real experience from more than 100 million autonomous actions in enterprise logistics production environments.

Feb 6Fri
  1. FieldAI51

    FieldAI and Boston Dynamics deploy autonomous robot inspections on construction sites

    FieldAI describes the autonomous deployment of its Field Foundation Models (FFMs) with Boston Dynamics' quadruped robot Spot on construction sites, requiring no GPS, cloud connection, prior maps, or pre-planned routes, and able to carry out inspection, mapping, and monitoring tasks around the clock. The article states that over the past two years this has covered construction sites in Asia, Europe, and North America, cutting customers' inspection and documentation time by more than 90%, with data able to flow into BIM and digital twin systems, and several pilots having expanded into fleet-level deployments.

Jan 7Wed
  1. Mentee Robotics · YouTube34

    MenteeBot Executes Tasks via Verbal Instructions (No Teleoperation)

    MenteeBot completed a can-retrieval task based on verbal instructions without teleoperation: it understood the request, identified the correct can, navigated to the counter, grasped it, and brought it back to the person. The demo integrates language understanding, scene perception, navigation, and manipulation into a single coherent behavior. Instructions can be given in any language, and the original text states this lowers the barrier to human-robot collaboration and humanoid robot deployment.

Dec 4Thu
  1. SIGRobotics · X69

    Earth Rover Mini+ low-cost open-source autonomous mobile robot released, with 7TB of real teleoperation data

    Earth Rover Mini+ has been released. It is an open-source autonomous mobile robot priced under $300, has actually driven in multiple cities, comes with over 7TB of real teleoperation data, and supports LeRobot integration.

    Why it matters: The material gives a total unit cost of under $300 and 7TB of real street data, which lets readers judge how autonomous mobile robot experiments can move out of the lab.

Nov 26Wed
  1. Mentee Robotics · YouTube41

    Behind the Scenes: How MenteeBot Perceives and Plans Autonomous Logistics Tasks

    Mentee Robotics released a behind-the-scenes video showing how two MenteeBots combine perception, planning, and control in real time during a pick-and-place box logistics workflow; the left side of the frame shows the head-camera view, alongside the robot's "thoughts" and decision outputs. The clip comes from a complete 18-minute unedited autonomous run by two MenteeBots in the same setup.

  2. Mentee Robotics · X29

    Behind the scenes of MenteeBot box handling

    In response to questions from our previous tweet, we share a behind-the-scenes view of the same task. This video shows the view from MenteeBot's head camera in the top left and its "thinking" and decision outputs in the bottom left, directly presenting the perception and planning process as two MenteeBots carry out a box-handling task. Full uncut 18-minute video: https://www.youtube.com/watch?v=Ak0rswEQudE #humanoidrobots #PhysicalAI #AI

Nov 25Tue
  3. Mentee Robotics · YouTube41

    Two V3 MenteeBots in a Warehouse Task (Unedited 18-Minute Version, No Teleoperation)

    Two V3 MenteeBots fully autonomously complete a warehouse logistics task in an unedited 18-minute video, with no teleoperation throughout. The robots pick boxes from stacks of different heights and place them onto multiple storage racks, and the video demonstrates their stable dexterous manipulation, precise movement, and reliable decision-making.

Sep 18Thu
  1. 线性资本72

    Bot Auto completes first fully driverless truck real-world road test

    Linear Capital portfolio company Bot Auto announced it has completed its first real-world road test in which the truck truly performed all operations on its own, with no one in the driver's seat, the back seat, or at a remote-control terminal, and no escort vehicle. During the test, the truck on a Texas highway handled scenarios including avoidance, detouring, merging, and responding to the appearance of a fire truck. The vehicle is equipped with 15 cameras, 8 lidars, and 3 millimeter-wave radars, with redundancy in perception, computing, actuation, and power supply; after the primary server is shut down it can switch to a backup server, and if the backup is also shut down, the vehicle control unit takes over to pull over and stop.

    Why it matters: The article sorts out the differences between Bot Auto's truly driverless road test and earlier modes with safety drivers, escort vehicles, and remote control, helping readers understand the differences in its technical approach.

  2. Figure AI72

    Figure launches Project Go-Big: Helix learns navigation zero-shot from human first-person video alone

    Figure announced two advances in Project Go-Big: a partnership with Brookfield to build a large-scale humanoid pretraining dataset, with Brookfield holding over 100,000 homes, 500 million square feet of commercial office space, and 160 million square feet of logistics space; and Helix, after training on 100% first-person human video, responding to natural-language commands such as "go to the fridge" without any robot demonstrations, navigating cluttered real home environments.

    Why it matters: The original gives the training method by which Helix learned navigation using only human video and the scale details of the Brookfield data partnership, offering a view of actual progress on the humanoid pretraining data 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.

Feb 25Sat
  1. 机器人库 · 微信公众号46

    Youibot Industrial Mobile Robots Appear in "The Wandering Earth 2" and Real-World Industrial Scenarios

    A total of 14 industrial mobile robots from Shenzhen Youibot Robotics Technology Co., Ltd. appear in the film "The Wandering Earth 2," including inspection robots and industrial logistics robots; these products have already been applied in real-world scenarios such as power, coal mining, steel, petrochemicals, semiconductors, and data centers.

Jul 17Sat
  1. New Strategy Robotics21

    How AMRs automate material transport workflows in manufacturing and warehouse environments

    Internal material transport in manufacturing and warehouse environments relies heavily on manual forklifts and carts, which brings high labor costs and is prone to errors. Autonomous mobile robots (AMRs) require no additional infrastructure and rely on built-in sensors, cameras, and intelligent software to navigate safely around workers and equipment. They can integrate with ERP, MES, and WMS to automate processes such as raw material storage, line-side delivery, and finished goods transfer, allowing workers to focus on high-value work.