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Oct 15Thu
  1. Reddit r/robotics49

    Open-source vision-language-action navigation model LightNav-0 integrated into Microduck MuJoCo simulation: instruction in, walking out on Jetson edge devices

    The author integrated the open-source vision-language navigation model LightNav-0 into the Microduck simulation (MuJoCo). The robot receives instructions such as "walk to the wooden door frame and stop," predicts a path from first-person frames, and executes it via MPC and the official ONNX gait policy.

  2. 36Kr Embodied Intelligence43

    Yueqian Innovation Launches Force-Balanced Camera Robotic Arm Cilin X, Backed by Li Zexiang and Mingshi Venture Capital

    Founded in 2023, Yueqian Innovation has completed an angel funding round with participation from Mingshi Venture Capital, Nanshan Zhanxin Investment, and Chuxin Capital; it previously received seed funding from Li Zexiang. Its first product, the force-balanced camera robotic arm Cilin X, uses a "3+3" configuration and a mechanically pre-balanced design, reducing joints that originally required 100 N·m of drive to under 10 N·m, while retaining six-degree-of-freedom camera movement and achieving lightweight design, targeting independent creators and small shooting teams. The company plans to accumulate data from professional users to build a visual expression model, and is planning smaller products for general users.

  3. New Strategy Robotics23

    Langyu Robotics debuts at Shanghai Industrial Fair, showcasing 1,000-ton-class heavy-load transport solution

    Langyu Robotics is presenting multiple unmanned heavy-load transport vehicles and a full-scenario intelligent handling solution at the Industrial Fair at the National Exhibition and Convention Center (Shanghai), Booth C201 in Hall 8.1H, from October 12 to 16. Its exhibits include multi-vehicle coordinated heavy-load transport and all-weather indoor/outdoor heavy-load mobile robots. Backed by self-developed control systems, multi-sensor fusion navigation, and AI-based intelligent scheduling, the solution can handle heavy-load transport of up to 1,000-ton class, covering industry scenarios such as wind power, energy storage, and ports.

  4. GitHub Robotics Topic65

    personalrobotics/sscbirrt releases v3.8.0: public motion validator and edge subdivision rounding fix

    personalrobotics/sscbirrt released v3.8.0, which makes motion validation public as sscbirrt.Validator, able to validate states, motions, paths, and timed trajectories; the planner returns a path or trajectory only after the validator accepts it. Edge subdivision now includes a rounding tolerance, reducing search state checks on benchmark problems by 4-14% (about 1% for door), with all problems still succeeding 100%; seeded paths differ from 3.7, while reference artifact cases and states are unchanged.

Oct 14Wed
  1. Reddit r/robotics61

    Galbot PASSAGE system helps humanoid robots avoid full-body obstacles in cluttered spaces

    Galbot's PASSAGE system enables humanoid robots to adapt full-body motion to cluttered spaces by crouching, stepping, or turning sideways. On the Unitree G1, it completed 50 real-world tests across 45 obstacle layouts without falling or requiring safety intervention. However, in simulation, when zero contact was required, the success rate dropped from 98.67% to 70.3%.

  2. New Strategy Robotics29

    Geek+ RS Hyper Top 10 Advantages Series Breakdown 5: AI Ultra-Large-Scale Scheduling

    Geek+'s RS Hyper RMS scheduling system brings floor travel, rack climbing, and workstation handoffs into unified scheduling, supporting coordinated operation of 5,000 robots, 50,000 square meters, and 3 million storage locations. The rack area locks only 2 columns and supports two vehicles climbing in the same column, while the bidirectional high-density road network increases travel efficiency by more than 30%; in testing, system throughput within 1,000 square meters reached 6,000 cases per hour, Max workstation processing efficiency exceeded 800 cases per hour, and the company says its AI ultra-large-scale scheduling capability leads the industry by 20%+.

Oct 13Tue
  1. 深圳市机器人协会 · 微信公众号70

    HKU MMLAB releases PhysicalRSI 1.0, tops RoboDojo and sharply cuts token costs

    The University of Hong Kong's MMLAB jointly released PhysicalRSI 1.0, a self-evolving embodied intelligence system baseline, achieving a score of 36.27 and an average task success rate of 31.38% on RoboDojo, ranking first.

    Why it matters: The material provides the specific mechanisms of the self-evolving baseline and comparison data with general large models, allowing readers to understand the causes of shortcomings in precision manipulation and paths for improvement.

  2. Skydio48

    Skydio Launches ISR Command: The Next Step Toward Drone Dominance

    Skydio has launched ISR Command, which uses Skydio Autonomy to orchestrate multiple X10D aircraft for coordinated reconnaissance, allowing a single operator to control two aircraft at once. The X10D weighs 2.14 kg (4.72 lbs) and can navigate autonomously using onboard cameras without GNSS; the system is TAK-native and supports the STANAG 4609 and STANAG 0903 metadata standards.

Oct 12Mon
  1. Guyuehome57

    Complete Derivation of Navigation and Grasping for an Autonomous Tidying Robot Based on MuJoCo

    Centered on the autonomous tidying task of a mobile manipulator, this tutorial presents a complete derivation chain covering occupancy grid log-odds mapping, A* global path planning, model predictive trajectory tracking, and grasp-and-place control. The author reproduces the full workflow of mapping, navigation, grasping, and transport in a MuJoCo four-room scenario.

Oct 11Sun
  1. IEEE RAS51

    XFlowMP Wins CASE 2026 Best Conference Paper Award; Khang Nguyen Discusses Learning for Robot Motion Planning

    Khang Nguyen and co-author Minh Nhat Vu received the CASE 2026 Best Conference Paper Award for XFlowMP, a framework that uses Schrödinger bridges to transform random noise into trajectory distributions, generating feasible motions with velocity and acceleration based on start and end configurations.

Oct 10Sat
  1. Robotics 24/766

    Vecna Robotics launches CaseFlow warehouse case-picking automation platform and closes $31 million funding round

    Vecna Robotics has launched CaseFlow, an end-to-end automation platform that uses wearable devices and Pivotal orchestration software to coordinate AMRs, workers, and orders, reducing walking time. In a GEODIS deployment, picking throughput doubled, worker walking was reduced by up to 90%, and forklift-powered equipment incidents fell from 7 in 2022 to 2 over the same period.

Oct 9Fri
  1. Westwood Robotics · YouTube27

    THEMIS at IROS 2026: See Why It Drew Everyone's Attention

    Westwood Robotics presented a live, on-hardware autonomous demonstration of its humanoid robot THEMIS at IROS 2026 in Pittsburgh, achieving a success rate of 90%+ in a completely unseen environment. Setup took only 10 minutes from assembly to showtime, with perception, thinking, and decision-making all performed onboard in real time as the robot autonomously completed grasping, carrying, and placing. THEMIS is powered by AOS (AI-augmented Humanoid OS) and BEAR Series actuators.

  2. 锐曼REEMAN25

    REEMAN explains how AMR robots navigate warehouses without AGV tracks

    AMR robots rely on four onboard technologies for trackless navigation: laser SLAM mapping, real-time LiDAR perception, dynamic obstacle avoidance, and real-time path replanning, with no need for floor tracks, magnetic strips, or QR codes. REEMAN delivery robots achieve laser navigation accuracy of ±5 cm, with an optional reflector code accuracy of ±3 cm; the Fly Boat model achieves QR code accuracy of ±2 cm, and a single map covers about 40,000 square meters. Its product line covers payloads from 100 kg to 1.5 tons, and since 2015 it has delivered to more than 55 countries and regions.

Oct 7Wed
Oct 2Fri
  1. Rainbow Robotics61

    Samsung unveils robot commercialization roadmap and Metro-WM world model at Samsung AI Forum 2026

    At Samsung AI Forum 2026, held at its Seoul headquarters, Samsung Electronics unveiled a robot commercialization roadmap led by its newly established RX (Robot eXperience) Business Promotion Office, combining robot foundation model (RFM) and world model technology to first advance automation at its own more than 100 factories and more than 100 production lines, before entering the home assistant robot market.

    Why it matters: The article presents the per-unit cost breakdown of humanoid robots and the success-rate threshold for factory scenarios, which can be used to compare and understand differences in manufacturers' commercialization paths.

  2. Rainbow Robotics63

    Samsung unveils robot commercialization roadmap: factory automation first, then the home

    At the Samsung AI Forum 2026, Samsung announced its robot commercialization roadmap. Centered on its newly established RX (Robot eXperience) business promotion office, the plan is to first advance automation at its more than 100 factories and more than 100 production lines, then enter the home assistant robot market.

    Why it matters: The article lays out the cost math for a humanoid robot at about $100,000 per unit and a three-layer behavior stack, helping readers understand why Samsung puts factory automation ahead of home robots.

Oct 1Thu
  1. Tech Xplore Robotics47

    Toyohashi University of Technology experiment reveals: robots approaching from behind are perceived as faster

    A team at Toyohashi University of Technology conducted five experiments using real autonomous mobile robots (AMRs) and VR; 92% of participants perceived a robot approaching from behind as faster than one approaching from the front at speeds of 0.5–1.0 m/s. A simulation incorporating this perceptual bias into a navigation model showed that, when overtaking pedestrians from behind, the robot began avoiding 0.57 s earlier than with a conventional model and increased passing distance by up to 0.40 m. The results were published in IEEE Robotics and Automation Letters.

  2. Tech Xplore Robotics38

    Can AI agents "feel surprised"? Mutual Information Surprise framework helps autonomous systems respond to the unexpected

    A research team from the Georgia Tech H. Milton Stewart School of Industrial and Systems Engineering (ISyE) published a paper in INFORMS Journal on Data Science proposing a new framework called Mutual Information Surprise, which helps AI agents, robots, and autonomous systems identify "meaningful surprises" and judge whether they need to stop and reassess.

Sep 30Wed
Sep 28Mon
Sep 27Sun
  1. New Strategy Robotics55

    JD Logistics' "Lone Wolf" 6th-Generation Smart Delivery Vehicle Plus Edition wins first place in overall score at the Smart Driving "Fengshen Bang"

    The 2026 Third Smart Driving "Fengshen Bang" Challenge was held in Changsha. JD Logistics' "Lone Wolf" 6th-Generation Smart Delivery Vehicle Plus Edition won the "Best All-Around Performance Award" with the highest overall score, achieving the best performance in the field across multiple scenarios in its first appearance and passing all difficult scenarios with full marks.

Sep 24Thu
  1. CMU Robotics Institute56

    CMU launches LAMP system to help multiple robots collaboratively move objects in crowded spaces

    A team at Carnegie Mellon University's Robotics Institute has developed the LAMP (Long-Horizon Adaptive Manipulation Planning) system, which helps multiple robots collaborate to move objects in severely cluttered spaces by jointly planning object and robot motion rather than handling them separately.

Sep 23Wed
  1. New Strategy Robotics64

    Warehouse inventory drones enter scale-up phase as multiple technology routes compete alongside forklift vision

    The article analyzes the trend of warehouse inventory drones moving from PoC to multi-warehouse replication, noting that their core value lies in increasing the frequency of inventory data generation rather than simply replacing manual labor. It lists different technology routes including Corvus One, Switzerland's Verity, Gather AI, France's EYESEE, Germany's doks. innovation, Singapore's Infinium Robotics, and the US's B GARAGE, as well as Corvus's application data in cold chain, lights-out inventory counting, and audit compliance scenarios.

  2. 具微科技50

    Jiuwei Technology releases full-stack autonomous navigation system Jiuwei Zhihang MIC Navi, running natively on the robot dog's body

    Jiuwei Technology officially released its full-stack autonomous navigation system Jiuwei Zhihang MIC Navi on September 22. The navigation code runs directly on the robot dog's mainboard, requiring no additional add-on computing kit, and upgrades are completed via OTA through the MICBOT MOVE app.

Sep 22Tue
  1. New Strategy Robotics26

    Bangqi Technology 3C semiconductor smart logistics solution: industrial AI agents and AMR robots enable full-chain unmanned operations

    Bangqi Technology has launched a smart logistics solution for the 3C electronics and semiconductor industries, centered on industrial AI agents and AMR robots and covering five major scenarios: dock loading and unloading, production line delivery, process flow, intelligent picking, and automated storage. The solution includes the LDS production collaboration unmanned pull system and the ADS hybrid scheduling system, which is compatible with multi-brand AGV/AMR units. Dock loading and unloading time is reduced from 45 minutes to 15 minutes, and full-truck unloading takes only 3.5 minutes. In a deployed project at an LED company, storage area was reduced by 50% and overall efficiency increased 2x. A RaaS monthly-payment light-asset model is also offered.

Sep 19Sat
Sep 18Fri
Sep 17Thu
  1. 穿山甲机器人 · YouTube19

    Meet Speedybot — the delivery robot that brings the community supermarket right to your door

    Alpha Robotics demonstrates the delivery process of its Speedybot delivery robot: orders are packed and loaded at the community supermarket within seconds, the robot passes through the access gate without a card swipe, and it autonomously calls and rides the elevator, selecting the correct floor, then delivers the package to the user's doorstep and pushes a notification. These capabilities all come from a process demonstration video; Alpha Robotics has not disclosed specific metrics such as payload, degrees of freedom, battery life, or success rate.