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- Xuan'en County Low-Altitude Sensing Network Project: China Tower Enshi Prefecture Branch Wins Bid at 39.815044 Million Yuan
Procurement for the Xuan'en County Low-Altitude Sensing Network Project has been completed, with China Tower Corporation Enshi Prefecture Branch winning the bid at 39.815044 million yuan and a comprehensive score of 98.50 points. The procurement covers three categories of services: drones and automated drone docks, high-point video surveillance, and drone monitoring/countermeasures. The review was completed on October 29, 2026, at the Xuan'en County Public Resources Trading Center.
低空产业纵横 · 微信公众号 ·
- LLMs Enter Embodied AI: Competing for Physical Data or the Next-Generation Intelligent Gateway
The article analyzes the different paths taken by large-model companies such as OpenAI, Google, Alibaba, and DeepSeek in entering embodied AI, arguing that their primary driver is their own growth and narrative needs, the second is defensive positioning, and that data and gateway are long-term goals not yet realized.
机器人产业应用 · 微信公众号 ·
- WISE2026 'Embodied AI & Culture, Commerce and Tourism' Breakout Session: How Robots Can Be Deployed in Malls, Communities and Parks
The 36Kr WISE2026 'Embodied AI & Culture, Commerce and Tourism' breakout session will be held on November 26 at the Conference Center of the National Information Technology Application Innovation Park in Yizhuang, Beijing, under the theme 'The "Cyber Scene" of Culture, Commerce and Tourism: Embodied AI Activates New Consumer Tracks.' Demand-side participants including Zhuhai Wanda Commercial Management Group, Joy City Holdings (Joy Life) and Longfor Group have confirmed attendance to discuss scenario fit, costs and the thresholds for moving from pilots to regular operations. A dedicated matchmaking session will also be held on site for demand-side and technology companies to communicate face to face on tasks, budgets and pilot conditions.
36氪 · 微信公众号 ·
- 2026 Suke Song Hackathon Recap: 200 Creators Produce 64 Projects in 48 Hours
From October 30 to November 1, 200 creators from 50 cities and more than 60 schools took part in the 2026 Suke Song in Suzhou, completing team formation, development, and presentations within 48 hours, with 64 projects created on site. The event featured a main track, a PandaAI track, and a carnival, among other awards, and the main track's grand prize went to MR COACH. The organizers said this was the first Suke Song and that they will continue to improve on-site execution, process coordination, and the judging mechanism.
36氪 · 微信公众号 ·
- AMI, with NYU and others, releases H-JEPA hierarchical world model, open-sources code and weights
AMI, the world model company founded by LeCun, together with New York University, INRIA Paris, and Brown University, released a paper on H-JEPA, proposing a hierarchical world model that stacks multiple JEPAs layer by layer for visual planning.
CVer · 微信公众号 ·
- NTU and other teams present MemSkill at NeurIPS 2026, letting agents learn and evolve memory skills
A research team from Nanyang Technological University and other institutions presented MemSkill at NeurIPS 2026, packaging memory operations into learnable, reusable, and evolvable Memory Skills, optimizing skill selection through task feedback, and revising and expanding the skill library based on failure cases.
CVer · 微信公众号 ·
- Soochow University undergraduate publishes TACHIP tactile chip results in Nature Communications as co-first author
Wang Rui, a 2022 undergraduate student in the School of Future Science and Engineering at Soochow University, published research on the TACHIP tactile chip in Nature Communications as a co-first author under the guidance of Professor Chen Tao's team. The plug-and-play soft tactile chip uses a five-pixel pneumatic array to reconstruct tactile patterns such as shape, hardness, roughness, and temperature, achieving a 95% first-round recognition rate and raising the success rate of six types of teleoperation tasks from 65% to 85% through reverse tactile feedback. The team completed validation demonstrations on the EFORT industrial robot platform.
CVer · 微信公众号 ·
- Beni attends a Halloween dog meetup
Beni went to a Halloween dog meetup, and let's just say... he got mixed reviews 🎃🐕🤖 Do you think your dog would bark at Beni, or try to make friends with him?
Mondo HK Limited · X ·
- University of Bristol uses ordinary electric motors to replicate muscle coordination, potentially improving robots
A University of Bristol team built a tabletop physical model simulating muscle contraction using a row of ordinary electric motors coupled to each other through a shared mechanical skeleton, with results published in the Royal Society journal Interface. In the experiments, the motors made intermittent contact with the skeleton to transmit force, and without direct communication, muscle-like behaviors spontaneously emerged, including a load-velocity relationship, more units participating as load increased, and coordination waves. The researchers believe this approach, in which coordination is handled by the structure itself, could help improve how robots are actuated.
Robohub ·
- How to Choose Capacitors for Robot Joint Motors: Yongming LKZ Liquid Aluminum Capacitor Solution for Space-Constrained, High Instantaneous Current Conditions
To address the selection challenges of space constraints and high instantaneous current in robot joint motor controllers, the Yongming LKZ series liquid aluminum electrolytic capacitors use a single high-capacitance unit to reduce the number of parallel connections. Taking LKZ 100V 150μF 8×25 as an example, a single unit provides 150μF, typical ripple 900mA, and ESR of about 0.20Ω; an example configuration of 4 in parallel reaches 600μF, which can reduce layout pressure. The solution also offers vibration resistance, wide temperature range, and low ESR; whether it applies must be verified against the BOM, operating conditions, and full-machine testing, and the manufacturer offers free samples and Demo board testing.
维科网机器人 · 微信公众号 ·
- Lanjian Intelligent Signs RMB 258 Million Warehouse Logistics Equipment Contract with Wuhan Chuyang
Lanjian Intelligent announced that it signed a contract with Wuhan Chuyang for the Wuhan Phase II warehouse logistics equipment project, valued at RMB 258 million, which is expected to have a positive impact on its 2027 performance. As of June 30, 2026, Lanjian Intelligent's order backlog stood at RMB 2.53 billion; in the first three quarters of this year, revenue was RMB 1.215 billion, up 7.40% year on year, while net profit attributable to shareholders was RMB 67.813 million, down 27.67% year on year.
维科网机器人 · 微信公众号 ·
- Orbbec Q3 Earnings: Robot Vision Solution Revenue Doubles, Over 1,000 Customers, Delivery Cycle Cut to 20 Days
Orbbec's 2026 Q3 report shows robot vision solution revenue reached more than double the year-earlier level, cumulative robot customers exceeded 1,000, and the delivery cycle was compressed from about 40 days to 20 days. First-three-quarter revenue was 711 million yuan, down 0.43% year on year; net profit attributable to shareholders was 73.8615 million yuan, down 31.62% year on year; gross margin rose from 42.8% to 49.09%; and R&D investment was 175 million yuan, up 19.20% year on year.
人形大讲堂 · 微信公众号 ·
- AgiBot proposes Worken robot energy-efficiency unit, discloses CEL collective experience learning validation results
At its 2026 Innovation Day, AgiBot's Peng Zhihui proposed the robot energy-efficiency unit Worken, defined as the number of active robots × autonomous working hours × output efficiency ratio, to measure how much work robots actually do. At the Longqi factory, 8 robots worked a cumulative 528 hours with an output efficiency ratio of 0.7, for a total of 2,956.8 Worken; at Guangzhou Metro, 120 robots worked 240 hours with an efficiency ratio of about 0.5, for a total of 14,400 Worken.
人形大讲堂 · 微信公众号 ·
- Meta and Fourier collaborate on humanoid robot Max, completing prototype in three months
According to The Information, Meta has partnered with Fourier Intelligence to develop a humanoid robot prototype named Max, completing development in three months, and has already started work on a second-generation Max 2. Max is about 1.5 meters tall and weighs about 48 kilograms, is equipped with Nvidia's Jetson Thor computing platform, and has five-fingered dexterous hands that can grasp small objects such as bottles and toys; Meta requires it to recognize human voices from 5 meters away, detect waving gestures from 3 meters away, and maintain eye contact.
雷科技 ·
- DeepBlue Embodied Intelligence reviews six embodied AI approaches: modular planning, skill orchestration, imitation learning, reinforcement learning, VLA, and world models
DeepBlue Embodied Intelligence examines the debate over embodied intelligence approaches along six main technical lines: modular planning, skill orchestration, imitation learning, reinforcement learning, VLA, and world models, drawing on 12 highly cited surveys from the past decade. The article notes that each approach answers the question of what robots should learn from, that the classic problems have not disappeared, and that what has changed is that the technical units for solving them are growing larger. It also mentions an industry estimate that general-purpose robots would need 100 million hours of data to reach a 70%–80% baseline success rate, and that more than 100 open-source embodied foundation models appeared worldwide in the past 18 months.
深蓝AI · 微信公众号 ·
- Indian optical mocap studio seeks input: what human motion data is still missing for humanoid robot training?
An Indian optical mocap studio offering body and finger capture and multi-person simultaneous capture is beginning to collect human motion data for humanoid robots, including ground transitions, stairs, and household chores. Before deciding on collection directions, the studio asked the community about gaps in public AMASS-type datasets regarding finger detail, object interaction, annotation, and capture scope.
Reddit r/robotics ·
- Six AgiBot Genie G2 Robots Enter Shanghai Convenience Store for 24-Hour Continuous Operation Challenge
On November 2, six AgiBot Genie G2 humanoid robots entered an operating convenience store in Xuhui, Shanghai, working 24 consecutive hours in roles including greeter, barista, stocker, and cleaner, under online supervision from viewers across the internet. The robots relied on real-time visual inventory checks to return items to their places on disorganized shelves, stopping before people and then going around them, and routing around boxes. Through Genie Master and the embodied execution protocol EEP, they stored successful and failed task trajectories in long-term memory to feed back into motion strategy optimization.
雷科技 ·
- Google Releases Genie 4 as World Models Race Toward Real-Time Interaction
Google has released Genie 4, raising the question of whether a world model is truly effective only if it supports real-time interaction. The material provides only a summary and does not give Genie 4's specific capabilities, version details, or experimental results.
雷科技 ·
- CCTV features BIT swarm intelligence research group: "BIT Zhixingzhe" humanoid robot and quadruped robot dog unveiled
The swarm control research group at the School of Mechatronical Engineering, Beijing Institute of Technology, presented platforms including the "BIT Zhixingzhe" humanoid robot and a quadruped robot dog on CCTV's program "Amazing, We Are 'Science' People." At the 2026 Beijing Yizhuang Humanoid Robot Half Marathon, "Zhixingzhe" completed the full 21-kilometer course, achieving zero falls and zero interruptions across more than ten types of complex terrain including urban roads, wetland parks, steep slopes, and near-90-degree sharp turns, and won second place for "Best Gait." The research group also independently developed Sigma, a simulation system for single-drone and swarm algorithms, which supports multi-scenario, multi-weather simulation training.
北京理工大学 · 微信公众号 ·
- North American robot orders up 24.8% year over year in Q3 2026
Data from the Association for Advancing Automation (A3) shows that North American companies ordered 10,989 robots in the third quarter of 2026, valued at $723.5 million, with order volume up 24.8% year over year and value up 26.1%, making it the strongest quarter of the year.
Robotics & Automation News ·
- Xbotics Embodied Intelligence Community October Event Recap: OmniHand O10 Dexterous Hand Experience, Qinglong Nano Motion Control Training, and MiniDuck Replication
In October, the Xbotics Embodied Intelligence Community held three offline events: at the Shenzhen session, 48 developers used the OmniHand O10 dexterous hand to complete calibration and a crawling competition; at the Shanghai session, 38 developers completed the transition from MotrixLab simulation training to real-machine deployment of the Qinglong Nano within two days; and at the Hangzhou session, 22 people learned to replicate the MiniDuck little yellow duck.
Xbotics具身智能实验室 · 微信公众号 ·
- Xbotics Lecture 7: A Robot Manipulation Loop from Target Pose to Grasping, Placement, and Failure Recovery
In Lecture 7 of the "Twenty-One Lectures" series, the Xbotics Embodied Intelligence Lab converts the target object pose obtained in Lecture 6 into gripper actions, linking the grasp-and-place loop with five poses—pre-grasp, grasp, lift, place, and retreat—and a state machine.
Xbotics具身智能实验室 · 微信公众号 ·
- InSpatio opens embodied simulation data collection center in Hangzhou, plans 1 million hours of simulated data per month
Spatial intelligence company InSpatio opened an embodied simulation data collection center in Hangzhou on October 30, planning to produce 1 million hours of simulated training data per month, with a comprehensive cost per data item of about 1/10 that of traditional real-machine teleoperation collection. Relying on its self-developed Topos spatial intelligence base, the center scans real sites and then automatically decomposes objects, fills in blind spots, and calibrates physical attributes, before generating embodied Tokens containing depth, pose, contact force, and action semantics in parallel through multiple channels in the cloud.
智东西 ·
- Shanghai University of Engineering Science and Kepler's Bumblebee Robot Win Third Place in Express Sorting at IEIC International Embodied Intelligence Skills Competition
A team from Shanghai University of Engineering Science, using the Kepler Bumblebee robot, won third place in the express sorting category at the 2026 Global Developer Pioneer Conference and IEIC International Embodied Intelligence Skills Competition, with preparation guided by Kepler's education team. The robot is a full-size humanoid with 52 degrees of freedom, a 30 kg dual-arm payload, 8 hours of continuous operation on a 1-hour charge, and 100 TOPS of onboard computing power. The robot coffee house scene previously built jointly by the university and Kepler has completed acceptance and also serves as a platform for undergraduate lab courses and scene operations training.
开普勒人形机器人 · 微信公众号 ·
- Leju Robotics Named a National-Level Specialized, Refined, Distinctive and Innovative "Key Little Giant" Enterprise
Leju Robotics has been named a national-level specialized, refined, distinctive and innovative "Key Little Giant" enterprise. The designation is organized and selected by the Ministry of Industry and Information Technology and is the highest tier in the tiered cultivation system for such enterprises.
乐聚机器人 · 微信公众号 ·
- 29 provinces and 500 organizations join forces! National Embodied Intelligence Industry Application Industry-Education Integration Community established
The National Embodied Intelligence Industry Application Industry-Education Integration Community was established on October 31 in Harbin. It is led by Leju Robotics, Northeastern University, and Harbin Vocational and Technical University, with participation from institutions in 29 provinces and more than 500 organizations across the upstream and downstream of the industrial chain. The community adopts an organizational mechanism of enterprise leadership and council governance, focusing on talent cultivation, supply-demand matching, technological breakthroughs, and teaching resource development. Leju Robotics CEO Chang Lin said the company will open up three categories of core resources: the "Kuafu" robot body, the OpenLET open-source dataset community, and industrial production line training experience.
乐聚机器人 · 微信公众号 ·
- STIER Wins Bid for Intelligent Flexible Grinding Robot Project for Aviation Material Repair
STIER's AI flexible grinding robot has won the bid for an intelligent flexible grinding project for aviation material repair, entering the complex grinding scenarios of aviation maintenance (MRO). Addressing the issues of diverse aviation material categories, large differences in wear deformation, and difficulty in forming standardized machining benchmarks, STIER builds a full-stack solution with multimodal environmental perception, multi-source heterogeneous data analysis, intelligent decision-making, and precise execution, enabling self-analysis of workpiece features, self-generation of grinding paths, and intelligent matching of process parameters. Its PolishX flexible force-controlled actuator achieves force control accuracy of ±0.8N, adjustment response <10ms, and contact force accuracy of ±0.5% FS.
斯帝尔科技 · 微信公众号 ·
- Junrou Technology completes angel round series financing, totaling 100 million yuan
Brain-computer interface company Junrou Technology has completed a series of angel round financings: the angel round was led by Jiuhe Venture Capital, and the angel+ round was invested in by Shunwei Capital, Hillhouse Venture Capital, Agibot, and others, with the three rounds completed within one year of the company's founding totaling 100 million yuan. The company's core technology is a neural worm dynamic electrode originating from Liu Zhiyuan's team at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; a planar electrode array is rolled into a fiber electrode about 196 micrometers in diameter, which crawls toward multiple brain regions under magnetic field guidance through a small hole of about 1 centimeter in the skull. The first-generation brain-computer interface system has completed some animal experiments, and an IIT is expected to launch in 2027.
九合创投 · 微信公众号 ·
- Beginner CoppeliaSim 4.9/4.10 Robot Simulation Development Course Launched
Tianyi'an has launched a beginner CoppeliaSim robot simulation development course based on CoppeliaSim 4.9/4.10, teaching the software's basic operations through five projects: a six-link robot, a four-legged linkage robot, a line-tracking and collision smart car, a Mecanum-wheel car, and an E-puck smart car. The course is originally priced at 79.8 yuan, with a 2-person group rate of 59.8 yuan and a 3-person group rate of 39.8 yuan; after purchase, it can be viewed free for 2 years. Future updates are planned to cover Simulink/Python co-simulation, robotic arm control, and trajectory planning.
古月居 · 微信公众号 ·
- Ati Motors Sherpa tug in the rain
Through a roller shutter door. Down a narrow aisle. Across a rain-soaked yard. Different Sherpa tugs, the same task: hook up a cart and keep going. Rain is just part of the route. #AMR #Robotics
Ati Motors · X ·
- IDTechEx report: Which battery technology will power the next generation of humanoid robots?
A new IDTechEx report, "Batteries for Humanoid Robots 2027-2037," predicts that demand for humanoid robot batteries will reach 10.5 GWh by 2037. Currently, NMC-based lithium-ion batteries are the most commonly used in humanoid robots, as they balance high energy density, fast charging, and cycle life; the report also evaluates solid-state batteries (about 400-500+ Wh/kg, with mass production expected in the late 2020s) and lithium-sulfur batteries (commercialization expected in the early 2030s) as future options.
Robotics & Automation News ·
- Agility Robotics says more than 30 companies are considering the Digit humanoid robot
Agility Robotics has signed a new commercial agreement with logistics company GXO to introduce the Digit at two US facilities, in Statesville, North Carolina, and Lebanon, Tennessee. Operations are expected to begin in early 2027 with the Digit 4, followed by a transition to the Digit 5.
Robotics & Automation News ·
- BMW and Embotech use Automated Driving In-Plant to move 1 million vehicles
The BMW Group and Embotech say they have used Automated Driving In-Plant technology to move a cumulative 1 million vehicles at four production sites in the UK and Germany, with roughly 3,500 vehicle movements per day and availability above 99.5%.
Robotics & Automation News ·
- Agibot Proposes Worken as a Measure of Effective Intelligent Work Hours: From Horsepower and Kilowatt-Hours to Tokens, Humanoid Robots Gain a New Ruler
At its A.I.DAY event on October 29, Agibot proposed Worken (effective intelligent work hours) as a unit of measurement. The formula is the number of active robots × autonomous working duration × output efficiency ratio. It counts only robots that are online, able to execute tasks, and meet standards; it excludes teleoperation and charging/battery-swap periods from continuous autonomous working time; and it uses the qualified output of a standard worker per unit time as one equivalent.
机器人daily · 微信公众号 ·
- VLA tactile fusion in practice: integrating force control, slip detection, and visual policies into action models
A practical approach to VLA tactile fusion that integrates force control, slip detection, and visual policies into action models. The content focuses on how these three types of signals work together with visual policies within action models; it is a methodological and practical overview, and the original text does not provide specific robot models, experimental metrics, or open-source links.
Guyuehome ·
- VLA Long-Horizon Decision-Making and Safety: Task Decomposition, World Models, and Human-in-the-Loop
VLA long-horizon decision-making and safety involves three approaches: task decomposition, world models, and human-in-the-loop. Task decomposition breaks long-horizon tasks into executable subtasks, world models are used to predict the consequences of actions, and human-in-the-loop introduces human intervention during execution to improve safety.
Guyuehome ·
- VLA Post-Training and Sim2Real: Full DAgger, Residual Reinforcement Learning, and Safe Cross-Embodiment Deployment
The content focuses on VLA post-training and Sim2Real, covering three technical approaches: full DAgger, residual reinforcement learning, and safe cross-embodiment deployment. The original text does not provide specific robot models, experimental figures, or open-source links; it discusses only at the methodological level how to transfer VLA policies to real robots and ensure safety in cross-embodiment deployment.
Guyuehome ·
- Diffusion Policy: Learning Robot Manipulation Policies via Action Diffusion
Using the Push-T tabletop pushing task as a vehicle, this piece fully reconstructs the mathematical formulation of action diffusion policies, covering cosine-schedule noise addition, the noise-prediction training objective, FiLM conditioning injection, and sliding-window execution. The author also uses public pretrained weights to complete a real inference evaluation across ten seeds.
Guyuehome ·
- VLA Fine-Tuning and Parameter-Efficient Training: A Reproducible Approach from Full SFT to LoRA
For fine-tuning VLA models, the article presents a reproducible parameter-efficient training approach spanning from full SFT to LoRA. The content covers these two training paths for developers to reproduce according to the approach.
Guyuehome ·
- Spatial Perception in VLA: Multi-View RGB-D, Camera Calibration, and 3D Action Execution
Centered on the spatial perception of VLA (vision-language-action models), this discusses three stages: multi-view RGB-D input, camera calibration, and 3D action execution. The content focuses on how VLA can complete action execution in real three-dimensional space, involving multi-camera depth perception and calibration alignment.
Guyuehome ·