All updates
- Gamma Intelligence, TeleAI and Unitree launch LocoManiLab humanoid mobile manipulation evaluation framework
Gamma Intelligence, TeleAI and Unitree have jointly launched LocoManiLab, a unified evaluation framework for humanoid robot mobile manipulation. It covers five types of home spaces, 13 scenario instances and 234 tasks, with the Unitree G1 and Dex3 dexterous hands as the unified test platform.
机器人前瞻 · 微信公众号 ·
- Shangwei New Materials' Qiyuan Robotics rolls out its 10,000th personal robot
The 10,000th personal robot from Qiyuan Robotics, a subsidiary of Shangwei New Materials, has officially rolled off the production line, just 14 days after the 5,000th unit on October 25. The Qiyuan Q1 and T1 went on sale on September 20, and the whole-machine factory began mass production in October, adopting automotive-grade standards plus a 3C-scale manufacturing system; the Q1 is priced at 19,999 yuan and the Explorer Edition at 26,999 yuan, while the T1 is priced at 19,999 yuan and the T1 Pro at 29,999 yuan.
机器人全球资讯 · 微信公众号 ·
- UC San Diego proposes EgoThumb wearable robotic thumb for one-handed completion of two-handed tasks
A team at the University of California San Diego proposed EgoThumb in an arXiv preprint, a wearable robotic thumb driven by a palm-side wide-angle camera and an imitation learning model that can autonomously grasp and stabilize objects, allowing users to complete tasks such as unscrewing bottle caps and stirring tea with one hand.
Tech Xplore Robotics ·
- GALBOT ET1 Wins CES 2027 Robotics Innovation Award
Galbot's bipedal humanoid robot GALBOT ET1 has won Best of Innovation, the highest honor in the robotics category of the CES 2027 Innovation Awards, becoming the first bipedal humanoid robot in the award's history to receive this honor. ET1 relies on the AstraBrain-WBC foundation model to learn new movements by watching live human demonstrations, without the need for separate motion capture or pre-recorded videos for each new movement, combining perception, interaction, and motion. This capability is currently used in real-world scenarios such as greeting and reception and interactive performances.
银河通用机器人 · X ·
- Axon invests $1.2B in Skydio and becomes its exclusive U.S. public safety distributor
Axon announced last week that it is investing $1.2 billion in Skydio, acquiring a 20% stake in the company, which is valued at $5.2 billion. Axon also becomes Skydio's exclusive public safety distributor in the United States and Canada.
The Robot Report ·
- NVIDIA releases world action model GR00T 2, enabling cross-embodiment transfer of human demonstrations
NVIDIA's GEAR team released its next-generation world action model GR00T 2 at the CoRL conference. It can simultaneously predict future frames and robot actions. The model, data, simulation environment, and collection hardware will be open-sourced progressively, and 100,000 hours of human data have already been released first.
NVIDIA GR00T 2 pretrains on a mix of human video, UMI, and teleoperation data, and reports quantitative success rates for cross-embodiment transfer, which can be used to assess the data strategy for robot foundation models.
量子位 ·
- What to verify when procuring autonomous elevator capabilities for AI service robots? How the REEMAN elevator control module works
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.
锐曼REEMAN ·
- Agility debuts on Nasdaq as humanoid robots begin calculating commercialization conversion rates
On November 5, Agility Robotics listed on Nasdaq under the ticker AGLT, closing its first day at $11.51, up 2.2%, and falling to $8.75 as of November 9. Its prospectus shows Digit has accumulated more than 65,000 operating hours and handled over 100,000 totes, but revenue in the first half of 2026 was only $174,000 with a net loss of $362 million; the $300 million Digit 5 order comes from a single related party, and that model is not planned for delivery to early customers until the first half of 2027.
钛媒体 ·
- REEMAN Fly Boat factory delivery robot completes one-day route deployment at Dongguan connector 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.
锐曼REEMAN ·
- SoftBank livestream also available on YouTube
The livestream can also be watched on YouTube. https://www.youtube.com/live/c2u9l0FbyUw
SoftBank · X ·
- Bangqi Technology debuts at 2026 CeMAT in Shanghai with full-scenario embodied intelligence solution and value-based RaaS model
At 2026 CeMAT ASIA, Bangqi Technology is showcasing a full-stack embodied intelligence logistics solution and a "pay-per-operation-value" RaaS model, combining standardized AMR transport with humanoid robots for end-of-line operations, coordinated by its self-developed ADS scheduling system. The solution has been validated on a production line at a leading vehicle manufacturer, improving material delivery efficiency by 30%; in a warehouse goods-to-person project, equipment achieved 7×24-hour unmanned operation, boosting capacity by 125% with 99.9% accuracy. RaaS is billed by actual workload, and the full model can be deployed in 1-3 months.
New Strategy Robotics ·
- Unitree Robotics shares rebound for second straight session: Apple uses G1 to validate HALO paper, Kunlun Manufacturing partnership still in public notice period
On November 9, Unitree Robotics shares rose more than 15% intraday, with market capitalization briefly topping 300 billion yuan, before closing up 9.04% at 716 yuan. An Apple research team used a modified Unitree G1 to validate the HALO paper, completing 360 single-task tests across six real-world environments without prior mapping, with an average success rate of 91%. Unitree and Kunlun Manufacturing plan to establish a new joint venture to conduct industrial embodied intelligent robot solution business; as of the time of verification, the plan was still in its public notice period.
OFweek Robotics ·
- Newstart's ChiNext IPO to be reviewed on November 13, plans to raise RMB 823 million
The Shenzhen Stock Exchange listing review committee will review the IPO application of Newstart Planetary Transmission System Technology (Zibo) Co., Ltd. on November 13. The company plans to raise RMB 823 million, of which RMB 623 million will be used to build an intelligent manufacturing base with an annual capacity of 1.5 million precision planetary reducers and transmission modules.
OFweek Robotics ·
- CeMAT ASIA 2026: Zhiwang Weilai, Yuanli Lingji and Geek+ showcase warehouse picking efficiency solutions
At CeMAT ASIA 2026, Zhiwang Weilai, Yuanli Lingji and Geek+ each presented warehouse solutions that move robots from moving boxes to picking goods.
OFweek Robotics ·
- Edge AI Daily Morning Brief (November 10): Nvidia Under Investigation, Google Launches TPU 8tx and TPU 8i Max, Anthropic Plans IPO
On November 9, Nvidia closed down 4.27%. On the same day, Google launched its eighth-generation TPU 8tx and TPU 8i Max, aimed respectively at confidential inference and ultra-large context windows. Nvidia's board has launched an independent investigation into allegations that Jensen Huang became a target of foreign intelligence, and said it has not suspended his duties. Anthropic plans to complete its Nasdaq IPO before Thanksgiving, with its valuation range lowered to $1.2 trillion to $1.3 trillion.
钛媒体 ·
- Anthropic unveils new versions of Fable 5.2 and Mythos 5.2 models
Anthropic has unveiled new versions of its Mythos and Fable AI models. Fable 5.2, scheduled for release on Monday, can perform more hardware-related tasks such as controlling robots, and can coordinate more than 1,000 AI agents simultaneously. Mythos 5.2, the same model line, has fewer safeguards in cybersecurity and life sciences and will be rolled out to select organizations through a previously announced verification program. Anthropic says both models are faster than previous versions, and Fable is cheaper.
36Kr Embodied Intelligence ·
- Berkshire Grey launches BG Pilot software-driven enhanced AI capabilities
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.
Robotics & Automation News ·
- Cyngn launches DriveMod EasyLaunch subscription service for autonomous material handling
Cyngn has released the DriveMod EasyLaunch commercial program, through which customers can automate a repetitive material handling route using the DriveMod Autonomous Tugger via a monthly subscription, with no upfront capital investment or long-term commitment, and deployment within weeks. The program focuses on indoor repetitive handling of carts, pallets, parts, and materials; Cyngn handles vehicle deployment, autonomous configuration, and go-live, while customers manage tasks and monitor vehicle activity through the fleet management software Cyngn Insight.
Robotics & Automation News ·
- Stream begins shipping today
Mina and the team begin shipping Stream today! We're very proud to support @sandbar and can't wait for everyone to try it. 💙
True Ventures · X ·
- Comau and Automha showcase integrated food and beverage automation at Cibus Tec 2026
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.
Robotics & Automation News ·
- EDGE Sound Research raises $2 million to expand sound perception technology for robotics and physical AI
EDGE Sound Research has raised a new $2 million round led by Stormbreaker Ventures, bringing its cumulative funding to $9 million, to expand its sound-based perception technology into robotics and physical AI.
Robotics & Automation News ·
- Duatic DXTR humanoid robot warehouse operation demo
Duatic showcases its vision of the DXTR humanoid robot moving through a warehouse and handling KLT boxes, with the goal of taking on the repetitive tasks that keep operations running. The solution requires no major facility redesign and can fit directly into existing workflows. The content is currently a demonstration; Duatic invites interested parties to get in touch to learn about possible DXTR applications at their sites.
Duatic · YouTube ·
- Tutor launches TRACE deployment-time compute scaling method and releases TI-0.1 model
Tutor launches TRACE, which uses deployment-time compute scaling for robot learning: starting from a small number of Tutor demonstrations, a frontier large language model agent reconstructs the task in simulation and trains reliable, human-speed policies. TI-0.1 is the first model trained with TRACE. USV believes this further shows that deploying robots in the field accelerates learning, with each deployment generating training data, giving Tutor a new way to make robot learning continuously accumulate.
Union Square Ventures · X ·
- Why are we obsessed with humanoid robots?
A user on r/robotics asks: since most robots focus on completing only a few or even a single task, why adopt a humanoid form and bear a computational load far beyond what is necessary? They question whether humanoid design really offers reasonable benefits and want to learn about other, better robot form-factor options.
Reddit r/robotics ·
- Rovant v0.2.0 released: view live drone telemetry in the IDE via rosbridge
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.
Reddit r/robotics ·
- DIY Bionic Robot Dog: Progress on 3-DOF Leg Shoulder Joint Design
An enthusiast with three years of competitive robotics experience but no programming knowledge built a quadruped robot dog by hand using 3D modeling and soldering, and has so far presented the intermediate design results for the leg shoulder joints. Each leg has a three-degree-of-freedom structure: two axes at the shoulder and one at the elbow, driven by two mg90s servos (shoulder longitudinal, elbow) and one sg90 servo (shoulder lateral). The author is soliciting criticism and suggestions, and will later disclose more design plans and robot dog component selection.
Reddit r/robotics ·
- RLT at CoRL: Adapting VLA with Real-World RL
Come see the RLT presentation at CoRL on Tuesday! Charles will explain how to adapt VLA models with sample-efficient real-world reinforcement learning.
Sergey Levine ·
- EvoPlan: An Evolutionary Neuro-Symbolic Robot Planning Framework with Spatio-Temporal Guarantees
EvoPlan proposes a neuro-symbolic planning framework that uses symbolic validity and constraints learned from data as guarantees, and can run on locally deployed open-weight models.
arXiv cs.RO ·
- NoContactNoWorries: Estimating contact via vision and proprioception to support in-hand dexterous manipulation
NoContactNoWorries proposes a Transformer-based multimodal framework that fuses RGB-D vision with robot proprioception to infer binary contact states for hand-object interaction as a pseudo-tactile signal. The authors train a single contact prediction model on multiple objects and verify that this inferred signal can support downstream reinforcement learning agents in completing in-hand object reorientation, and that it generalizes to new objects. Both simulation and real-robot experiments validate the feasibility of inferring contact from vision and proprioception. The paper has been accepted to IROS 2026.
arXiv cs.RO ·
- Augmentron: A Scalable Multi-View Visual Augmentation Pipeline for Robot Learning
Augmentron is a geometry-aware data augmentation pipeline that generates reusable scene representations and renders them according to recorded camera poses, producing environment and workspace variations that are consistent across time and multiple views while preserving the robot, task objects, actions, and annotations.
arXiv cs.RO ·
- Paper analyzes agentic manipulation policies: AMP1 achieves 85.6% zero-shot success rate
The paper proposes agentic manipulation policies (AMP), in which a generalist AI model directly controls a robotic arm and adjusts its actions as the task progresses. The authors' reference implementation, AMP1, runs unchanged across single-arm, bimanual, and mobile manipulation.
The paper reports zero-shot success rates and real-world trial data for a generalist AI model directly controlling a robotic arm, which can be compared with specialist policies such as VLA and WAM.
arXiv cs.RO ·
- SURE: Spatiotemporal Uncertainty Representation for Efficient Vision-Language-Action Learning
SURE is a data-efficient vision-language-action (VLA) training framework that models spatial uncertainty with a lightweight transposed-convolutional probabilistic action decoder and uses Soft-DTW alignment supervision to accommodate temporal variation across demonstrations. On LIBERO, RoboTwin 2.0, and real manipulation tasks, SURE matches or exceeds baseline VLA manipulation success rates using only 10% of demonstration data or 20% of training steps.
arXiv cs.RO ·
- LACART: Lookahead-Augmented Collision Avoidance and Reference Tracking Strategies for Safety-Critical Robots
LACART combines lookahead-based control barrier functions (CBFs), a relaxed control Lyapunov function (CLF), and quadratic programming (QP) to modify nominal vehicle commands in a unified optimization layer, handling both circular obstacles and track boundaries.
arXiv cs.RO ·
- Optoelectronic soft suction cup enables mechanical interaction force sensing for kiwifruit grasping
The research team proposed a two-component optoelectronic soft suction cup designed for kiwifruit that uses optical signals to estimate interaction forces with real fruit within known contact intervals. On fruit not used in training, it achieved grouped cross-validation R²=0.968±0.005 (MAE=0.138 N), with a median per-fruit held-out R² of 0.973 (MAE=0.134 N).
arXiv cs.RO ·
- Can LLMs Debug Robots by Editing Their Weights?
The research proposes having GPT-6 Astra read a robot's base policy weights and edit only 65 rows of token embeddings, raising the success rate on π0.5's 765 held-out paraphrased instructions from 86.3% to 92.0% (48 repairs, 4 regressions, paired p=1.31×10⁻¹⁰), all without gradient updates or new demonstrations.
arXiv cs.RO ·
- Horizon-Coupled Obstacle Guidance: inference-time obstacle avoidance guidance for relative-action diffusion policies
This research proposes an inference-time obstacle-guidance framework for pretrained relative-action diffusion policies. It rolls out cumulative relative actions into a workspace trajectory, evaluates obstacle interactions along the trajectory with an SDF-based obstacle model, and during denoising propagates each obstacle response to all contributing action increments. In real-robot experiments across seven obstacle-constrained scenarios spanning four manipulation tasks, the method achieved 105/140 (75.0%) collision-free task successes, compared with 8/140 (5.7%) for absolute-action pointwise guidance. Ablations show that the temporally coupled form of relative actions yields larger gains under both obstacle models.
arXiv cs.RO ·
- A2-MEAS: An Embodied Multi-Agent Framework with Code as a Scaling Interface
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.
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.
arXiv cs.RO ·
- RevoSim: A Scalable Multimodal Tactile Simulator for Dexterous Manipulation
The authors present RevoSim, a multimodal tactile simulator for the BrainCo Revo3 dexterous hand that jointly models 285 piezoresistive taxels and 5 visuotactile fingertips. The simulator can synchronously generate pressure, depth, RGB, and marker-displacement observations; on a single RTX 5090, its depth-conditioned marker-displacement configuration supports up to 4096 parallel environments. The authors trained in-hand manipulation and grasping policies entirely in simulation, laying a foundation for future sim-to-real transfer.
arXiv cs.RO ·
- Dexterous Hand Practice 17: From Piezoresistive to Capacitive, How Tactile Sensors Determine Contact and Slip
The 17th installment of the Dexterous Hand Practice series focuses on the differences between piezoresistive and capacitive tactile sensor approaches, and discusses how to use them to determine contact and slip. The content addresses the tactile perception stage in dexterous hand R&D and is part of this tutorial series.
Guyuehome ·
- Unitree Robotics and Sequoia China establish "Shanyu Innovation Program" to invest in early-stage embodied intelligence projects
In late October, Unitree Robotics and Sequoia China announced the joint establishment of the "Shanyu Innovation Program," focused on discovering and investing in early-stage startup projects in embodied intelligence, robotics applications, and related upstream and downstream key technology fields. The article, citing Unitree's Q3 financial report, noted that its revenue was 665 million yuan, up 69.93% year on year; net profit attributable to shareholders was 113 million yuan, down 17.37% year on year; and R&D investment in the first three quarters was 263 million yuan, up 191.48% year on year.
OFweek Robotics ·