Skip to content
#Human-robot interaction and collaboration
TodayNov 11Wed1 updates
Nov 10Tue
  1. 甲子光年 · 微信公众号22

    Peking University alumni in the AI wave: from PKU's Institute of Computational Linguistics to Qwen, MiMo, and DeepSeek

    Lin Junyang, Luo Fuli, and Dai Dali, who came out of Peking University's Institute of Computational Linguistics (ICL), are associated with large-model teams including Qwen, Xiaomi MiMo, and DeepSeek, respectively. According to Jiaziguangnian statistics, as of May 2026, DeepSeek papers had more than 300 authors; among the 25 researchers who participated in 10 or more papers, nearly 40% came from Peking University, and 4 graduated from the Institute of Computational Linguistics. Lin Junyang founded Yuyong Technology in August 2026, focusing on next-generation physical-world agents, and completed an angel round at a $2 billion valuation.

  2. 电子工程专辑 · 微信公众号58

    Amazon reorganizes robotics team, prepares new home robot product

    Over the past several months, Amazon has formed a new home robotics team and is hiring engineers for a "brand-new form of robot product." The job description mentions that the product can autonomously navigate dynamic home environments and operate collaboratively with family members. The team's core assets come from the March 2026 acquisition of New York humanoid robotics startup Fauna Robotics. About 50 Fauna employees joined the newly established "Personal Robotics Group." Its bipedal humanoid robot Sprout is about 107 cm tall and weighs about 27 kg, and has been delivered to R&D partners since January 2026.

  3. 银河通用机器人 · X38

    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.

  4. Reddit r/robotics40

    Open-source AI desktop companion robot built with a laptop, Android phone, and Raspberry Pi Pico

    A developer built an open-source desktop companion robot using a MacBook, an Android phone, and a Raspberry Pi Pico W: the Pico W drives the two servos of a 2-DOF pan-tilt head, the MacBook uses MediaPipe and AprilTags to recognize people and convert angles, and the phone screen displays eye animations that can track faces.

  5. 钛媒体56

    Former Baidu VP Wu Tian joins Sany Group as Dean of Yun AI Institute

    In early November, former Baidu Group Vice President and Baidu Research Vice President Wu Tian officially joined Sany Group as Group Vice President, Dean of the Yun AI Institute, and concurrently Dean of the Artificial Intelligence Research Institute. Previously, in October, former Chery Automobile Vice President Xie Baojun had also joined the Sany system. The article states that Sany designated 2025 as its "first year of intelligence," seeking to make AI a general capability across all roles. Vice President Li Hongwei said Sany will develop into an AI-native robotics company in the future, but currently unmanned operations still rely mainly on rule-based algorithms rather than being data-driven.

  6. OFweek Robotics40

    Robots enter factories to "work," but why do bosses only dare let them "trial"?

    At the China International Import Expo, robots have entered scenarios such as drug picking, depalletizing, sorting, handling, assembly, and teaching-free welding, but most are still in the "trial" stage, with only some scenarios deployed at scale. Apple HALO completed 360 single-task tests in 6 real environments without pre-built maps, with an average success rate of 91%; after GPT-6Astra was connected to different robot bodies, some tasks took from one or two minutes to more than 30 minutes or even an hour. Industry observers judge that the "ChatGPT moment" for embodied intelligence may arrive in the second half of 2027, and the turning point may appear separately by scenario such as retail pharmacies and industrial sorting.

  9. Robotics & Automation News31

    Opinion: Supervised autonomy in robotics must be designed for the robot's worst day

    Plus One Robotics CEO Erik Nieves argues that robots should be judged by their "worst day" rather than by smooth demonstrations, that is, by how they perform when facing situations they have never seen. The article advocates inventorying an exception list before deployment, defining the boundary between what the robot can handle on its own and what it must escalate, and having help requests carry information such as on-site images, number of attempts, and confidence. Nieves expects supervised autonomy to be the main shift in the next five years, and the ratio of supervisors to robots should be determined based on pilot data.

Nov 9Mon
  1. Reddit r/robotics18

    Independent developer builds offline voice-control "brain" for environmental robot simulation with Webots + Python

    An independent developer has built an offline voice-control "brain" in Python for an environmental robot simulation in Webots, supporting Spanish, English, and Polish and able to answer with simulated sensor data such as temperature, humidity, air quality, and obstacles. It includes a safety lock: it shuts down when hazardous conditions are detected and can explain why it stopped when asked "Why did you stop?" It is currently simulation-only with no physical robot; the English and Polish questions in the demo are played as synthesized speech. The author is not selling it yet, is seeking feedback on use cases, and has set up a free waitlist.

  3. arXiv cs.RO58

    Adaptive collision sensitivity framework for efficient and safe human-robot collaboration

    The authors propose an adaptive collision sensitivity framework that dynamically estimates collision force based on the effective mass (EM) of each robot link and uses it to decide whether to interrupt motion, instead of applying a fixed contact threshold to the whole robot. Experiments were conducted on a real UR10e robot with AIRSKIN sensitive skin and in simulation, supplemented by simulated experiments on a KUKA LBR iiwa using joint torque sensing. In a mock pick-and-place scenario including both transient and quasi-static collisions, production efficiency improved by more than 45% compared with the standard method.

  4. arXiv cs.RO58

    Wearable haptic interface learns personalized touch perception models

    The research team developed a wearable haptic input/output device that integrates a 36-channel electrotactile array with capacitive touch sensing, enabling stimulation locations and user-reported perceived locations to be aligned within the same body-referenced coordinate frame. Experiments with 24 participants showed notable individual differences in electrotactile and thermal percept maps, but both modalities retained electrode-pair-specific spatial structure across participants.

Nov 8Sun
  1. Kinetix AI · YouTube35

    Kinetix AI's SMASH high-dynamic humanoid table tennis system debuts at HKFW 2026

    Kinetix AI's SMASH high-dynamic humanoid table tennis system was exhibited at the Hang Seng Bank booth at HKFW 2026, where players from the Hang Seng Academy played matches against it. The original article did not disclose metrics such as the system's degrees of freedom, battery life, or match success rate.

Nov 7Sat
  2. Reddit r/humanoidrobotics38

    Stride AI launches modular voice engine targeting ~380ms latency and 0.2s native interruption for humanoid robots

    The US team Stride AI has built a modular voice engine targeting ~380ms latency and supporting 0.2s native interruption, aimed at easing the "uncanny valley" feel in interactions between humanoid robots and real-time voice agents. The engine emphasizes flexible integration into different tech stacks and hardware environments. It is currently open for early pilots to technical teams, robotics developers, and developers, with a demo link for trial and feedback.

  3. 机器人全球资讯 · 微信公众号52

    Qiyuan T1 robot's first OTA rolls out tomorrow: recognizes stairs and transforms automatically, supports remote audio and video calls

    The first OTA for the Qiyuan T1 robot will begin rolling out tomorrow, adding features such as autonomously recognizing stairs while following and switching to a quadruped form to go up and down stairs, and remote audio and video calls via the App. The update also adds Youdao HiEcho spoken-language practice, scheduled reminders, voice-initiated face and voiceprint enrollment, on-device video recording and AI image generation, plus new AI enlightenment courses and DIY capabilities including PrimeFLOW skins, PrimeHEART personality voices, and Prime Toolkit secondary-development configuration.

  4. 电子工程专辑 · 微信公众号62

    Meta and Fourier collaborate on humanoid robot prototype Max

    According to an October 31 report by The Information, Meta and Chinese robotics company Fourier jointly built the humanoid robot prototype Max in about three months, and in September of this year began development of a second-generation prototype, Max 2. Max is about 1.5 meters tall and weighs about 48 kilograms, is equipped with an NVIDIA Jetson Thor chip, and features a display that can simulate facial expressions, built-in speakers, and five-fingered dexterous hands for grasping small objects. A Meta spokesperson said the collaboration focused on internal research and experimentation, and there are no plans to sell these robots.

  5. 硅星人Pro · 微信公众号60

    AgiBot's 6 Genie G2 robots work 24 hours at a convenience store; 4 pass probation

    AgiBot launched a 24-hour convenience store work challenge in which 6 Genie G2 robots took on roles including reception, pickup and delivery, drink preparation, inspection and restocking, and cleaning, completing 1,730 tasks in total; in the end, 4 passed probation and 2 did not. The robots run on the embodied Agent framework Genie Master, which uses Physical RSI to turn success and failure experience from execution into long-term memory and iteratively refine action strategies; capabilities such as judgment for restocking and cleaning come from this prior self-review.

Nov 6Fri
  1. 节卡机器人 · 微信公众号32

    JAKA Robotics receives first batch of "Shanghai Brand" reliability certification; JAKA π humanoid robot debuts at CIIE

    At the 9th China International Import Expo (CIIE), JAKA Robotics was awarded a certificate in the first batch of "Shanghai Brand" reliability certification, and its core product has received the industry's first MTBF 80,000-hour certification. The JAKA π humanoid robot (Paizai) also appeared at the Shanghai Municipal Administration for Market Regulation's "Future High-Quality Exhibition Area" and the Bank of China booth, providing guided tours and human-robot interaction services. Relying on a "brain + cerebellum" integrated architecture, it achieves semantic understanding, visual perception, and stable motion control.

  4. AgiBot72

    Six AGIBOT G2 robots complete 24-hour trial at Shanghai convenience store, performing 1,730 tasks

    Six AGIBOT G2 wheeled humanoid robots completed a 24-hour trial at an operating convenience store in Xuhui District, Shanghai, performing a total of 1,730 tasks, with four of them passing the final assessment.

    Why it matters: AGIBOT disclosed the task distribution and assessment results of six G2 robots over 24 hours in a real convenience store, offering a view of how embodied intelligence performs in continuous operation.

  7. OFweek Robotics50

    Bubbo Comes Home: What Three Hurdles Must a Robot Clear to Become 'Family'?

    Xinyan Robotics unveiled its embodied home agent "Bubbo 1" in Beijing. It is 65 cm tall, has a plush shell, and features two expression screens. It carries 13 categories and 26 sensors, has 6 degrees of freedom, autonomous mobility, and auto-recharging, and is priced at 9,499 yuan. It focuses on emotional companionship rather than housework, using a camera for contactless heart-rate detection, bilingual tiered conversation, and generating family biographies from seniors' reminiscences, and it detects falls and sends notifications. Xinyan says it plans to upgrade the software 1 to 2 times per month, and the first-generation product is meant to collect real-world family feedback.

  8. OFweek Robotics58

    Grabbing Zuckerberg's Hand: Can Fourier Reverse Its 8 Billion Valuation Long-Term Predicament?

    Fourier and Meta built a humanoid robot prototype codenamed Max in about three months. Meta says the collaboration focuses on internal research and experimentation and that there are no plans to sell it; procurement volume and commercial revenue were not disclosed. The article reviews Fourier's roughly 300 humanoid robot shipments in 2025, its pre-money valuation of 8 billion yuan, and its progress in preparing for the STAR Market, and points out that prototype development, scale manufacturing, and platform licensing are three different businesses. The author believes Meta bought development time and Fourier gained validation from a tech giant, but neither side directly answered the commercialization question.

  9. 差评X.PIN · 微信公众号42

    iFlytek Input Method team launches AI toy Gununu: it can turn its head proactively and chat with you via a growth system

    The iFlytek Input Method team has launched Gununu, an AI toy that supports touch and shake interactions. Its base has a built-in rotating servo, so it proactively turns toward users when they come near. The product uses a growth system: speech and expression abilities are gradually unlocked the more the user interacts with it, and it comes with the NuNu Planet app to record exploration and development. The team says it conducted more than 1,200 person-times of research across more than 12 rounds, developed a separate five-layer memory system for long-term memory, and removed the camera from the final version to protect privacy.

  10. 36氪 · 微信公众号65

    Zhentai Intelligence Secures Tens of Millions of Yuan in Series B Funding, Brain-Computer Rehabilitation Products Enter Over 500 Hospitals

    Xi'an Zhentai Intelligence has completed a Series B funding round of tens of millions of yuan, jointly invested by Zhangjiang Venture Capital and Xinda Future Industry Fund. This is the first time the company has introduced state-owned capital since its founding. The funds will be used for the registration of three categories of innovative brain-computer interface medical devices, underlying technology R&D, and the rollout of a three-tier rehabilitation network.

Nov 5Thu
  1. 亿欧网 · 微信公众号62

    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.

  2. 雷科技42

    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.

  3. 钛媒体40

    D-Robotics, High Torque Power, and Qiyuan Robotics Enter K12 Embodied AI Education

    D-Robotics partnered with Unitree Robotics to launch an embodied AI education solution for primary and secondary schools, using the Sunrise S100 chip for integrated computing and control, paired with the Go2 quadruped and R1 humanoid bodies, and designing 15 themed courses totaling 180 lessons. High Torque Power released a full embodied AI education solution the same day, with courses already running regularly at schools including RDFZ and Dongzhimen Middle School. Qiyuan Robotics pushed its first OTA to the T1 and Q1, adding Hi Echo speaking practice and AI introductory courses.

  4. OFweek Robotics42

    D-Robotics, High Torque Power, and Qiyuan Robotics Enter the K12 Education Race

    On October 30, D-Robotics partnered with Unitree Robotics to launch an embodied intelligence education solution for primary and secondary schools. On the same day, High Torque Power released a comprehensive embodied intelligence education solution, and Qiyuan Robotics announced the first OTA for T1 and Q1, adding Hi Echo speaking practice and AI introductory courses. The D-Robotics solution is built around the Sunrise S100, which integrates a CPU, BPU, and MCU, paired with the Unitree Go2 quadruped and R1 humanoid bodies, and features 15 themed courses and 180 lessons covering elementary through high school. High Torque Power said the related courses have been regularly carried out at schools including Renmin University of China Affiliated High School and Dongzhimen High School.

  5. arXiv cs.RO47

    Myoelectric Control for Upper-Limb Exoskeletons: A Decoder-Shaper-Controller Framework, Design Guidelines, and Future Directions

    A review proposes a functional "decoder-shaper-controller" framework for continuous myoelectric control of upper-limb exoskeletons: the decoder estimates intention-related variables from surface electromyography (sEMG), the shaper maps them to a control reference according to an assistance policy, and the controller realizes that reference through actuator control.

  6. arXiv cs.RO58

    Fluidic Body: Controlling swarm robots as a fluid extension of the hand

    The authors propose the Fluidic Body system, which lets an operator change the properties of a virtual fluid between the hand and a swarm robot collective through hand movements, thereby adjusting swarm behavior: opening the hand makes the swarm soft and deformable so it can flow around obstacles, while clenching the fist makes the swarm hard and cohesive so it can aggregate into a single body to push objects.

  7. arXiv cs.RO31

    Persona-based MLLM evaluation: how robot type and time of day affect perceived safety on urban streets

    The study used 18 images of Seoul streets (split across daytime/nighttime, road class, and three conditions: no robot, delivery robot, or humanoid robot), having two multimodal large language models, Qwen3.8-27B and Gemma4-26B, each conditioned on 500 synthetic personas, choose the safer image in each pair, and compared the results with 25 human respondents.

  9. arXiv cs.RO58

    Study: Effects of haptic feedback on operator cognition and behavior in ROV teleoperation

    A study accepted to IEEE Telepresence 2026 had ROVs face controlled cross-currents in in-water experiments, conveying environmental information to operators through a soft vibrating haptic touchpad. Results showed that encountering an unforeseen cross-current significantly increased operators' physical and temporal demand, and haptic feedback mitigated these burdens and improved self-assessed performance, but also brought the highest mental demand and frustration; nevertheless, operators drove the ROV significantly faster under the haptic condition than under the current-information-only condition.

  10. arXiv cs.RO61

    PHIL: Proactive human-in-the-loop intervention via preference learning

    The paper proposes the PHIL framework, which lets operators preview a policy's predicted future actions through an XR interface, take over to correct before undesirable actions occur, and pair rejected predictions with corrective actions for preference post-training. On four real manipulation tasks, with five correction episodes per condition, mean success rates rose from 44.0% to 70.3% for the diffusion policy and from 57.8% to 76.9% for X-VLA, compared with the HG-DAgger baseline; policies trained with proactive corrections showed fewer unnecessary recovery behaviors in successful episodes.