All updates
- Agility Robotics lists on Nasdaq; prospectus shows annual revenue of $1.78 million and net loss of $138 million
Agility Robotics rang the opening bell and listed on Nasdaq under the ticker AGLT. Its prospectus shows full-year 2025 revenue of $1.782 million, of which $650,000 came from non-related customers, direct costs of $4.47 million, and a gross margin of negative 151%.
人形大讲堂 · 微信公众号 ·
- GeekPark IF 2027 unveils first speakers, theme set as "Revaluation: Value, and Other Answers"
The first speakers for GeekPark Innovation Festival (GEEKPARK IF) 2027 have been announced. The event will be held on December 5–6 this year in Beijing's 798 Art District, marking its 17th year, under the theme "Revaluation: Value, and Other Answers." Beyond the main stage, five small in-depth sessions will cover Personal AI, AI creation, embodied intelligence, hardware and Maker, and AI practice, and a special segment will also be announced on site. More main-stage speakers and small-session guests will be announced gradually.
极客公园 ·
- Cainiao opens global warehouse network to provide real-world training clusters for AI robots
On November 5, Cainiao held an AI and embodied intelligence industry cooperation launch event at its Hong Kong Smart Port, announcing that it will open its global warehouse network to industry partners and build a logistics real-world training cluster covering dozens of industries and hundreds of real-world scenarios, including warehouse picking, intelligent navigation and delivery, high-altitude inspection, and auto parts management.
雷科技 ·
- Full Workflow Practice: From URDF Modeling to MoveIt2 Grasping with a Robotic Arm and Dexterous Hand
Guyueju released a tutorial explaining the complete workflow from URDF modeling to MoveIt2 grasping operations for a robotic arm plus dexterous hand. The material provides only the title and does not give specific steps, parameters, or code details.
Guyuehome ·
- Wang Xingxing vs. Zhi Hui Jun: Unitree adopts general models while AgiBot develops in-house models for production lines
The article compares Unitree and AgiBot's divergent approaches to embodied intelligence: Unitree integrates GPT-6 Astra into the G1 as an "external brain," with Wang Xingxing judging that general models will be able to handle planning after another one or two generations; AgiBot only lets Astra serve as System2, while System1 and the 100 to 1000Hz force-control closed loop are developed in-house, and GO-3 Preview tops three leaderboards: RoboDojo, RoboTwin, and RoboCosieum.
亿欧网 · 微信公众号 ·
- Exoskeleton robot goes viral overseas at Canton Fair: IRMO M1 vision-aware AI exoskeleton pre-sale priced around 8,000 yuan
At the 140th Canton Fair, a Chinese consumer-grade exoskeleton robot went viral overseas after videos filmed by foreign buyers showed it being worn for walking and stair-climbing demonstrations. A British woman who had suffered a stroke more than a year earlier stood up and walked up stairs after trying it on, and her son placed an order on the spot for about $1,300. The IRMO M1 tested by Leikeji is an all-terrain, vision-adaptive consumer-grade exoskeleton featuring a self-developed Flexmo flexible joint and the EPA embodied intelligence algorithm. The unit weighs about 2 kg and offers 6 to 8 hours of battery life; its Canton Fair hit pre-sale price is about 8,000 yuan.
雷科技 ·
- GPT-6 Astra shakes up the embodied AI brain industry: risks and opportunities for Unitree, AgiBot, Qianxun and other vendors
GPT-6 Astra, a general-purpose large model, drove a several-hundred-dollar robotic arm to complete tasks such as drawing the Golden Gate Bridge without specialized training. Unitree Technology used it to autonomously identify a palette, change paints, and clean brushes. SenseTime's evaluation says it can handle robot manipulation and navigation tasks that specialized models such as VLA and WAM perform.
钛媒体 ·
- 2026 AiTEN Embodied Intelligent Robot Exhibition Opens in Suzhou
The 2026 AiTEN Embodied Intelligent Robot Exhibition opened on November 3 at the AiTEN Exhibition Hall, 61 Fuyuan Road, Suzhou, and runs until November 17, for a total of 15 days. The exhibition is laid out in four categories: intelligent control, intelligent standalone products, scenarios, and embodied intelligence. The interactive experience area focuses on the TM60, a smart standalone product in the "Little Turtle" series; customers can personally complete the rapid deployment and go-live operation of a robot within 30 minutes. The exhibition holds two livestreams each day, one in the morning and one in the afternoon, and customers from China, South Korea, and Europe have already attended on the first day.
New Strategy Robotics ·
- Stop waiting—are humanoid robots never going to deliver "big results"?
The humanoid robotics industry is diverging between hype and real-world deployment capability: Unitree has already reported profitable results, Figure AI has secured a high valuation on the strength of its model narrative, Tesla is still exploring mass production, and some startups have run into delivery and funding difficulties. Figure published test results for Helix 2.5: in 30 unfamiliar households where no data had been collected, the robot completed three task types—tidying toys, folding towels, and making beds—with a 56% success rate under the full-task completion standard. 1X states on the NEO product page that early users receive "basic autonomous capability," and that complex tasks can be completed with scheduled remote supervision and assistance from experts.
OFweek Robotics ·
- Agility to list on Nasdaq via SPAC merger under ticker $AGLT
Agility will go public tomorrow morning through a SPAC merger with Churchill Capital Corp XI under the ticker $AGLT, rather than a traditional IPO. SEC Form 425 and S-4 show total fundraising of about $465 million, a pre-money valuation of $2.5 billion, and a PIPE of about $201 million led by Foxconn. The company reported 2025 net sales of about $1.8 million and an operating loss of about $140 million, and says it has signed multi-year revenue order backlog exceeding $300 million.
The Humanoid Hub ·
- RegimeVGGT: A Training-Free Acceleration Method for VGGT That Preserves Spatial Structure Layer by Layer
RegimeVGGT proposes a training-free, layer-wise compression method that achieves a 6.7x speedup over the memory-optimized VGGT* with unchanged reconstruction quality. Through spectral analysis, probing, and causal analysis, the authors find that VGGT's shallow layers lack cross-view structure, its middle layers handle cross-view alignment, and its deep layers are redundant for dense geometry, but their cross-frame attention remains critical for pose.
arXiv cs.RO ·
- Low-cost 4-DoF arm RoArm-M2-S achieves vision-guided writing tool reorientation and color sorting
The roughly $200 Waveshare RoArm-M2-S four-degree-of-freedom robotic arm, under a fixed overhead camera, uses a YOLO11n-OBB detector, an ArUco reference pose, and a color classifier to perform color sorting of writing utensils without a wrist rotation joint. For utensils deviating more than 45 degrees from the fixed approach direction, corrective sweeps bring them into a graspable pose within at most 4 attempts. In 196 single-utensil trials, 176 (89.8%) landed in the correct color bin; of the 20 failures, 19 were grasp slips or missed grasps and 1 was a color mislabel.
arXiv cs.RO ·
- ConDR: Conservative Reachability Analysis with Neural Hamilton-Jacobi Subsolutions
ConDR proposes a method for learning subsolutions of the Hamilton-Jacobi-Isaacs variational inequality, so that the learned unsafe set contains the true unsafe set, thereby reducing cases where unsafe states are misclassified as safe.
arXiv cs.RO ·
- Riemannian Optimization-Based Whole-Body Obstacle Avoidance Framework for Mobile Continuum Robots
The study proposes a unified planning and control framework for mobile continuum robots, combining a global layer consisting of A* search and minimum-jerk planning with a local layer consisting of a geometry-consistent inverse kinematics solver and Riemannian optimization, to coordinate the mobile base and continuum deformation for obstacle avoidance. The authors compare it with multiple baseline planners in simulated pipe-traversal tasks and conduct real-world experiments on navigation among dense obstacles and manipulation in confined spaces. Results show improvements in motion consistency, feasibility, and adaptability.
arXiv cs.RO ·
- Learning manipulation actions from demonstrations: online adaptation to latent physical properties
The authors propose a learning-from-demonstrations method that jointly learns a dynamics model and object-specific latent representations of physical properties, and conditions an imitation policy on online estimates of these representations, enabling the robot to adjust manipulation actions such as regrasping and contact locations based on physical-property information acquired through interaction. During execution, the dynamics model and policy weights remain fixed, and only the latent representation is updated based on the discrepancy between predicted and actual observations. In real-world and simulation experiments with objects having different centers of mass, online adaptation improved task success rates, but in simulation the success rate remained about 30% at center-of-mass positions not covered by the demonstrations, indicating limited adaptation to unseen physical properties.
arXiv cs.RO ·
- Learning Object-Centric Motion Priors from Human Data for Robotic Dexterous Manipulation
The paper proposes learning to holistically predict future hand-object states from human-object interaction (HOI) datasets, using the predicted future object states as a general-purpose reward term for reinforcement learning, reducing reliance on task-specific reward engineering. The authors experiment on three manipulation tasks in simulation and the real world, reporting better success rates and generalization to novel objects than existing SOTA methods, and validate cross-embodiment compatibility by deploying skills to different robot hands. The work has been accepted as an oral paper at AAAI 2026.
arXiv cs.RO ·
- FWIK: Multi-Waypoint IK Selection via Lookahead Graph Search
The paper proposes Future-Window Inverse Kinematics (FWIK), an online inverse kinematics selection method that considers several future waypoints, connects multiple IK candidates in a layered joint-space graph, ranks them with a motion-time estimate, and then uses a learned model to remove transition paths prone to self-collision.
arXiv cs.RO ·
- RoboColosseum releases real-world robot policy benchmark covering 150+ scenarios and 30+ policies
RoboColosseum is a benchmark for testing policies on real robots, covering 150+ scenarios and hundreds of actual robots, with all rollouts (including failures) published on Hugging Face.
The Humanoid Hub ·
- Physical AI and robotics: seeking structured courses with formal certificates, advice wanted
A poster interested in Physical AI is looking for structured courses with formal certificates. They say they entered software engineering out of curiosity but found programming does not suit them, and so posted on r/humanoidrobotics asking for advice. The post does not give specific robot models, course names, or technical specifications.
Reddit r/humanoidrobotics ·
- New constraint enables offline-to-online reinforcement learning
When running reinforcement learning with prior data, a behavior constraint is important for trading off exploration against staying close to known good parts of the data. But choosing this constraint is delicate—we neither want to merely match all prior data nor to deviate too far. In our new paper, we propose a new constraint that combines a support constraint with a continuous penalty to achieve excellent offline-to-online reinforcement learning performance.
Sergey Levine ·
- Only 100 ms for Four-Camera Inference: A Record of Latency Trade-offs in a GStreamer Capture Pipeline
With only a 100 ms budget for feeding four camera streams into inference, this article documents the latency trade-offs of a GStreamer capture pipeline under this constraint. It focuses on the sources of latency in the capture chain and configuration trade-offs, explaining how to arrange the pipeline under four-camera input to meet the inference deadline.
Guyuehome ·
- Dexterous Hand Practice 13: Using Polynomial Trajectory Planning to Eliminate Position Jumps and Achieve Smooth Motion
The 13th post in Gu Yue Ju's "Dexterous Hand Practice" series explains how to use polynomial trajectory planning to turn position jumps in a dexterous hand into smooth motion. The material provides only the title and summary; it does not give specific polynomial orders, parameters, or experimental data.
Guyuehome ·
- Ruixinxing Completes New Round of Funding in the Tens of Millions of Yuan
Ruixinxing recently completed a new round of funding in the tens of millions of yuan. Investors include Sinovation Ventures, Zhongli Co., Ltd., and Today International. The original article did not disclose the specific use of this round of funds or details about the company's business.
36Kr Embodied Intelligence ·
- Perceptron launches Egocentric 1.0 self-serve API to turn first-person video into training data
Perceptron has released the Egocentric 1.0 self-serve API, which converts first-person human and robot video into structured training data, outputting a timestamped subtask timeline (with sub-second-level action precision), independent activity timelines for each hand or gripper, and 3D hand reconstruction without camera calibration. The API claims to match GPT-6 Astra on subtask quality at about 1/8 the cost ($9 per video hour versus about $76), with a full-stack price of $29.
The Humanoid Hub ·
- The Upper Limits of Robotic Dexterity and the Physical Economy
Robotics has known targets, and reaching human-level dexterity would be a major victory. The physical economy has no such ceiling. @xiao_ted at the Humanoid Hub conference:
The Humanoid Hub ·
- NASA Space Grant students participate in NASA Inspiration Tour stops
At stops in multiple locations, NASA Space Grant students presented research projects as part of NASA's Inspiration Tour. A student team from Iowa State University introduced the Mission Moon project and the work of organizations including Cardinal Space Mining, CySat, and CyLaunch, while University of Arizona students presented research including high-altitude balloon payloads and small satellites.
NASA ·
- Google and Mercor release PLE benchmark: engineering agents meet 91% of individual constraints but only 41.3% fully pass all deliverables
Google and Mercor released the Physical-Engineering's Last Exam (PLE) benchmark, which evaluates engineering agents on 85 mechanical, electrical, civil, and structural engineering tasks.
图灵人工智能 · 微信公众号 ·
- Geek+ exhibits Gino 1 humanoid robot, Gravity embodied model and full range of warehouse robots at CeMAT
At CeMAT ASIA, which opened on November 3, Geek+ is exhibiting its general-purpose humanoid robot Gino 1, the Gravity embodied model, the unmanned picking workstation RAPS, and a full range of robots including RoboShuttle Hyper, SkyCube and RoboPallet, providing on-site evidence for its recently announced 24/7 autonomous intelligent warehouse plan.
移动机器人产业联盟 · 微信公众号 ·
- How GlobalLogic helped Haystack Robotics build a UV disinfection robot
GlobalLogic's Silicon & Embedded division partnered with Haystack Robotics to design an autonomous mobile robot (AMR) from the concept stage, combining real-time perception, edge intelligence, and navigation to perform hospital-grade UV disinfection with as little manual intervention as possible. The robot offers two modes, autonomous navigation and "follow me"; the platform separates the mobile chassis from the UV payload so other modules can be swapped in later, and it reuses components such as ROS and sensor fusion.
The Robot Report ·
- https://youtu.be/u-8KpXcPYCw
https://youtu.be/u-8KpXcPYCw
Y Combinator · X ·
- CAICT and Tsinghua release Embodied Intelligence Development Report (2026): models not yet converged, shakeout underway
The China Academy of Information and Communications Technology (CAICT) and Tsinghua University's Department of Electronic Engineering jointly released the Embodied Intelligence Development Report (2026), stating that the industry is "hot on the surface but cold underneath," that a shakeout has begun, and that model approaches are far from converged. The report says domestic embodied intelligence financing totaled RMB 93.5 billion in the first half of 2026, exceeding the RMB 73.5 billion for all of 2025, while global humanoid robot shipments exceeded 22,000 units; however, education and research institutions accounted for about 55.5% of domestic winning bids, while industrial and technology enterprises accounted for only about 21.1%.
机器人产业应用 · 微信公众号 ·
- After TypeSafeAI's decision model Jev goes viral, why does the physical world need on-device streaming multimodal decision-making?
TypeSafeAI released the decision model Jev, which outputs only yes/no, option numbers, or probability scores. Within weeks of launch, users exceeded one million, about one-third of Fortune 500 companies began using it, and its valuation rose from about $200 million to $7.5 billion in 24 days.
36Kr Embodied Intelligence ·
- Student self-balancing robot project WOBBLE seeks feedback: stable on carpet, difficult on smooth floors
A beginner built a self-balancing robot named WOBBLE for a school project; it can balance fairly stably on carpet but performs poorly on smoother surfaces. The robot's only function is currently balancing, and the author is openly seeking improvement suggestions on appearance, wiring and component layout, expandable features, occasional motor stalling and resets, and soldering quality.
Reddit r/robotics ·
- Existing humanoid robots are programmed to run forefoot-first without heel striking
An observer noted that existing humanoid robots are programmed to run like barefoot runners: they do not heel-strike, but instead contact the ground with the forefoot first. The relevant clip appears at 2:59 in the video. This method is considered the most efficient way to run, which also highlights the relatively low efficiency of the heel-striking style that most human runners are accustomed to.
Reddit r/humanoidrobotics ·
- RPV-SemNav proposes zero-shot indoor navigation method without prior maps
RPV-SemNav proposes a zero-shot indoor navigation method that requires no prior map. It maps target and observed objects into probability vectors over nine room categories (RPV) and uses spatial co-occurrence semantics to guide exploration. The system combines open-vocabulary detection, CLIP semantic alignment, and free-space propagation, enabling the robot to first understand the room and then decide where to look for the target.
Guyuehome ·
- SSTG-Nav proposes reusable object navigation framework
SSTG-Nav proposes a reusable object navigation framework for long-term deployment scenarios, focused on addressing the mismatch between observation poses and docking poses. The framework uses a single task-agnostic RGB-D mapping pass, employing a vision-language model (VLM) for detection and depth back-projection to generate reachable targets. The material provides only an abstract and does not give full experiments or results.
Guyuehome ·
- DDC2026 D-Robotics Developer Conference registration opens
Registration is now open for the DDC2026 D-Robotics Developer Conference. The conference is themed "No Curiosity, No Truth"; more event details can be found via "Read Original Article" at the end of the post.
古月居 · 微信公众号 ·
- FAIR plus to hold exhibitions in Europe and Southeast Asia for the first time in 2027
FAIR plus will land in Europe and Southeast Asia for the first time in 2027: it will be held jointly with Humanoid Technology Expo in Stuttgart, Germany on October 5-6, 2027, and in Bangkok, Thailand on October 20-22. The Shenzhen exhibition will be held on April 21-23, 2027, with about 600 exhibitors and 80,000 visitors expected. In 2026, the exhibition already brought together 389 robotics companies and attracted 62,171 professional visits, including 3,326 from overseas.
深圳市机器人协会 · 微信公众号 ·
- Booth reservations open for 2027 Humanoid Robot Ecosystem Conference (HREC)
Booth reservations are now open for the 2027 Humanoid Robot Ecosystem Conference (HREC), which will be held April 15-18, 2027, at the Shanghai Automobile Exhibition Center. The conference is hosted by China Robot Network, was founded in 2024, and has been held 3 times. Humanoid robots, dexterous hands, components, and industry chain brands will exhibit.
中国机器人网 · 微信公众号 ·
- Saigan Technology completes tens of millions of yuan PreA++ funding round to advance mass production of iontronic tactile sensors
Saigan Technology announced the completion of a PreA++ funding round of tens of millions of yuan, exclusively invested by Guangzhou Industrial Control Donggao Fund. The funds will be used for R&D iteration of core technology, production line capacity expansion, and market channel development. The investor has finalized the first batch of orders, which will be deployed in automotive manufacturing inspection processes. The company says its iontronic tactile sensor can sense contact forces at the 0.01 N level, with full-scale linearity R²>0.997, a measurement range covering 1 Pa to 2 MPa, and a response speed of 0.62 ms.
中国机器人网 · 微信公众号 ·