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#Human-robot interaction and collaboration
Oct 28Wed
  1. 36氪 · 微信公众号48

    Dami and Xiaomi Team Up with AWS to Customize AI System; Autism Rehab Institution Dismisses Part-Time Supervisor Six Months After Adoption

    Dami and Xiaomi have partnered with Amazon Web Services to customize an AI rehabilitation system, which has been used in nearly 100 directly operated stores and more than 300 partner institutions, and can take on part of supervisors' work such as writing assessment reports, scheduling classes, and generating lesson plans. After an institution in Pingdingshan, Henan, adopted the system in January this year, its head said it had dismissed an externally hired part-time supervisor whose annual fee was in the hundreds of thousands of yuan, and added AI courses priced at 80 yuan per session, with about 30% of parents signing up. Content generated by the system still requires manual review, and AI is positioned as an auxiliary role to improve the efficiency of rehabilitation therapists and supervisors.

  3. Reddit r/robotics40

    Rodney Brooks: Robots should convey intent to people by 'where they look'

    iRobot co-founder Rodney Brooks noted that Rethink's robots look toward a target object before reaching to grasp it, which led workers to quickly understand its intent; he questioned why more humanoid robots do not use this way of expressing attention. The conversation also mentioned that Agility's Digit has directional eyes, and that Agility chose task-specific grippers rather than five-fingered hands.

  4. Xbotics具身智能实验室 · 微信公众号58

    Stardust Intelligence Stardust OS Robot Hackathon Concludes: 17 Teams, 16 Apps on Real Robots, 94% Deployment Rate

    On October 25, Stardust Intelligence held the Stardust OS Robot Hackathon finals in Shenzhen, where 17 teams took 16 apps from simulation to execution on the T1 humanoid robot within 36 hours, a 94% deployment rate. Stardust OS (AOS) packages perception, mobility, manipulation, and interaction into Meta packages and Skills, letting developers orchestrate tasks by describing intent in natural language. The champion team, "Remote Avatar," connected a mobile phone, the Stardust desktop, and the T1 real robot to complete a closed loop of multi-step tasks including scooping cat litter, watering plants, pouring water, and picking up packages.

  5. Reddit r/robotics58

    Robot lamp Lamp announces October development progress: 4,092 commits on main branch, new development docs and per-skill camera permissions

    Robot lamp Lamp announced its October development progress: the main development branch has already seen 4,092 commits this month, surpassing the previous high of 1,615 in April. The project added a docs/develop.md development path that takes about 10 minutes to get started, including a simulated lamp on a laptop, Python and JavaScript SDKs, and lamp-mcp; camera images are now authorized separately per skill, and a yield detection based on servo position and load was added, with this feature off by default.

  6. 优宝特 · 微信公众号18

    Yobotics humanoid robot and quadruped inspection robot featured in State Grid non-electrical professional new employee training class

    Yobotics' humanoid robot and quadruped inspection robot appeared in the live-streamed power fundamentals module of the 2026 fourth State Grid non-electrical professional new employee centralized training class, demonstrating industrial practice of embodied intelligence equipment serving power operations and maintenance. Leveraging self-developed legged bionic and embodied intelligence technologies, its products can adapt to complex environments such as substations, cable tunnels, transmission corridors, and disaster emergency response, carrying multiple types of sensor payloads to perform equipment inspection, temperature monitoring, defect identification, and data reporting, replacing personnel in high-risk areas.

  7. 量子位60

    Hongqi Chain terminates robot unmanned vending system R&D; robot retail largely remains at proof-of-concept stage

    After 16 months of R&D, Hongqi Chain terminated its robot unmanned vending system project. The announcement said the system has not yet met the standard for large-scale commercial deployment, and the company is shifting to a 24-hour cloud-attended operation. The company previously disclosed issues including a high robotic-arm grasping failure rate, vision recognition affected by lighting, and insufficient obstacle avoidance and communication stability. Industry insiders said condensation on glass-bottled cold drinks in summer causes the robot to grip them unsteadily and drop and shatter them. A QuantumBit ROBO visit found that most retail robots only handle mobile picking, requiring staff on duty for restocking and charging. Industry insiders believe robot retail is still at the PoC stage and that replacing store staff will take another two to five years.

  8. 智东西62

    iFlytek Releases SparkAudio 1.0 Speech Foundation Model

    During its 2026 Global 1024 Developer Festival, iFlytek released SparkAudio 1.0, a speech foundation model trained entirely on domestic compute. It supports text and speech dual-modal input with text output, and can perform speech transcription, multilingual translation, multi-dialect recognition, environmental sound recognition, speaker separation, sentiment analysis, and complex audio question answering.

  9. 雷科技35

    Qingtianzu appears at ROBOTECH 2026: exploring new paths for robot commercialization through scenario-based services

    At ROBOTECH 2026 in Shenzhen, Qingtianzu, as an official public service strategic partner, created a "Robot Carnival" and deployed a public service formation of 1 AgiBot Expedition A3 and 2 Lingxi X2 robots to handle visitor guidance and route direction. The event also gathered the AgiBot Expedition A3 and the Zhongqing T800 for humanoid robot boxing matches, with quadruped robots participating in the "Cool Dog Race," while small humanoid robots such as the Qiyuan Q1 and Gaoqing Xiaopai interacted on the same stage. The exhibition organizer paid to procure its solutions, and Qingtianzu says it is advancing normalized operations in cultural tourism scenarios through content productization and standardized delivery.

  10. arXiv cs.RO60

    Temporal Tactile Encoding and Compliant Control for Intent-Aware Robot-to-Human Bimanual Handover

    This study combines a VLA model with a compliant controller, fine-tuning the model using RGB observations, temporally encoded tactile feedback, and proprioception from human demonstrations to achieve robot-to-human bimanual handover. In a human-subject study, the system was compared against two baselines: one without tactile feedback and one with tactile feedback but no compliant control. Results show that compliant control and tactile history are complementary, with performance clearly outperforming the baselines. The project page is publicly available.

  11. arXiv cs.RO60

    From Language to Navigation Goals: A Vision-Language Approach for Semantic Navigation of Mobile Robots Using RGB-D Perception

    The study proposes a language-driven navigation framework that enables mobile robots to understand natural-language requests such as "go to the mailbox," identify the referenced object, estimate its position using RGB-D data, and generate a navigation goal that is then executed by the ROS 2 Nav2 navigation stack.

  12. arXiv cs.RO61

    LOPAL: Local Performance-Aware Active Learning from Imperfect Demonstrations

    LOPAL is a local performance-aware active learning method that uses a Gaussian Mixture Model (GMM) to jointly encode demonstration trajectories and their local quality assessments, thereby generating trajectories that outperform the imperfect demonstrations. The method also uses a shared autonomy (SA) mechanism to actively request user corrections in areas with insufficient data, while the robot autonomously executes its learned behavior during this process.

  13. arXiv cs.RO40

    Understanding Human-Robot Collaboration Through Joint Action Theory: A Systematic Review of 83 Empirical Studies

    A systematic review following PRISMA 2020 examined 83 empirical papers on human-robot collaboration published between 2021 and 2026, using Joint Action theory to classify them into nine constructs under three capacities: Representation, Prediction, and Integration. The analysis reveals how these constructs are distributed and co-occur across studies, identifies where empirical evidence is concentrated and where it is absent, and offers guidelines for future research.

  14. arXiv cs.RO67

    HumiTransfer transfers human-human interactions from in-the-wild videos to humanoid robots

    The authors propose HumiTransfer, a framework that converts in-the-wild human-human interaction videos into physically feasible human-humanoid interaction motions. The method first reconstructs 3D human motion with foot-ground contact, then transfers one participant to the target humanoid embodiment through interaction modeling, and uses post-retargeting optimization to ensure balance, contact, and collision avoidance.

  15. OFweek Robotics58

    Stardust Intelligence AOS Robot Hackathon Concludes, 94% of 16 Apps Run on Real Robots

    The Stardust OS (AOS) robot hackathon finals, hosted by Stardust Intelligence, concluded in Shenzhen on October 25. 17 teams developed 16 apps in 36 hours, with 94% running on real robots. Participants built applications by calling AOS-encapsulated Meta capability packages and Skills, combined with large models such as GPT and DeepSeek. The champion team, "Remote Avatar," achieved two-way real-time control between a phone and the T1, completing tasks such as scooping cat litter, watering plants, and picking up packages. Stardust Intelligence founder Lai Jie said that when designing the interfaces, AOS considered both human and AI model users.

  16. 荭杏科技18

    Hongxing Technology's Dazhuang-Z6 and Two Other Robots Explore Real-World Embodied Intelligence Applications

    Hongxing Technology's industrial robot Dazhuang-Z6 can perform tasks such as box handling and item picking, exploring the practical application of embodied intelligence in industrial operations. Its guide service robot Xiaomei-M9 provides conversation, guidance, and route directions, while the desktop robot Lumi offers daily companionship through conversation and movement interaction. The three products target industrial operations, commercial services, and daily interaction scenarios, respectively.

  18. Reddit r/humanoidrobotics24

    Building an expressive robot head prototype, Ecko, with a Galaxy S10 and a RealMan robotic arm

    A developer built an expressive head prototype, Ecko, using a Galaxy S10 paired with a RealMan robotic arm; it is not a complete humanoid robot. The phone provides animated eyes, a camera, a microphone, and a speaker, with ARCore facial landmarks drawn inside the eyes. A Mac backend handles arm movement and Gemini-driven conversation, and displays real-time joint telemetry in a digital twin. Face tracking works within a limited range; the first motion stopped after about seven seconds due to a sign error, and that failure was kept in the build video.

Oct 27Tue
  1. 机器之心 · 微信公众号58

    UIUC, Google, Stanford and others jointly review how Proactive AI can move toward superintelligent agents

    Researchers from UIUC, Google, Stanford, UC Berkeley and CMU jointly published the review "Proactive AI for Superintelligent Agents," systematically mapping the research landscape of proactive AI and proposing a 6A framework composed of six capabilities: Awareness, Anticipation, Agenda, Arbitration, Action and Adaptation.

  2. 中国机器人网 · 微信公众号53

    AGCO to pilot Agility Robotics' humanoid robot Digit at Kansas plant in 2027

    US agricultural machinery manufacturer AGCO announced a partnership with Agility Robotics to launch a pilot of the humanoid robot Digit at its Hesston, Kansas production base in 2027. Initially, the robot will handle repetitive tasks such as parts sorting, stacking and organizing, and tote handling, and will not be involved in complex assembly.

  3. 极客公园60

    Qiyuan Robotics' 5,000th personal robot rolls off the line, daily capacity within the month raised to over 200 units

    Qiyuan Robotics completed production of its 5,000th personal robot on October 25, about a month after the September 20 launch of its Qiyuan Q1 and T1 products. Co-President Gao Quanzhong said the line rolls off one robot every 2.5 minutes, with daily capacity raised from just over 10 units to over 200, and that the company has established test standards including million-cycle wiring harness bending and 100,000-cycle joint durability. The company plans an OTA upgrade at the end of October to add capabilities such as English speaking practice, following in complex environments, and remote video calls.

  4. arXiv cs.RO55

    Active Perception of Upper-Limb Functional Mobility Through Human-Robot Handovers

    This study formulates upper-limb functional mobility estimation as an active perception problem, parameterizing reductions in healthy joint limits with impairment coefficients and integrating this into a human model used during robot interaction. The authors propose an online active perception pipeline in which the robot actively probes the user through repeated handover requests while progressively updating a Bayesian belief over the impairment coefficients. Simulation studies and a proof of concept on a robotic platform show that the pipeline can recover the impairment coefficients with relatively high accuracy in real human-robot handovers.

  5. arXiv cs.RO62

    CognitiveReality: Robot-Agnostic Semantic Gaussian Mapping and LLM Agent for Immersive Collaborative VR Teleoperation

    CognitiveReality builds a semantically indexed Gaussian-TSDF map from a robot's RGB-D stream, shared by a VR operator and a tool-calling language agent. A single mapping program adapts to different platforms through configuration alone, accepting poses from robot SLAM, joint kinematics, motion capture, or visual tracking, and handles localization outages with shadow tracking and keyframe-anchored PnP, maintaining open-vocabulary instance identities and per-object quality at 2 Hz.

  6. arXiv cs.RO58

    SHRIMP: Iteratively Revising Robot Task Plans with Natural Language

    The SHRIMP system lets users automatically generate hierarchical robot primitive plans using natural language, and iteratively revise those plans through re-prompting and explicit correction. After each revision, users can validate the plan in simulation and, once satisfied, execute it on the physical robot. A user study with 35 participants on tabletop kitchen task planning showed that SHRIMP improved users' perceived control and robot transparency.

  7. arXiv cs.RO60

    ArrayTac: A Closed-Loop Piezoelectric Tactile Platform for Continuously Tunable Shape, Stiffness, and Friction

    ArrayTac is a closed-loop piezoelectric tactile platform that can simultaneously and continuously render three tactile dimensions—shape, stiffness, and friction—on a 4×4 actuator array. Each unit integrates a three-stage micro-lever amplifier and end-effector Hall-effect feedback, achieving up to 5 mm displacement, an array refresh rate above 500 Hz, and a closed-loop bandwidth of 123 Hz.

  8. arXiv cs.RO62

    A Planning-Level Intention Prediction Framework for Mobile Robot Shared Control

    The paper proposes a shared control framework for mobile robots with planning-level intention prediction, using an intention domain to constrain path replanning and jointly modeling intention-domain prediction and replanning as a Markov decision process solved via deep reinforcement learning. The authors also design a Voronoi-based human trajectory generation algorithm that allows the model to be trained entirely in simulation without human participation or demonstration data; simulations and real-world user studies show the method reduces operator workload and improves safety without degrading task efficiency.

  9. arXiv cs.RO62

    High-resolution tactile observation makes hidden racket-control mechanisms learnable

    The research team used an 864-node tactile-inertial glove to synchronously collect more than 14,000 strokes at 100 Hz from over 70 participants across five skill levels, and proposed a mechanics-based two-layer framework that infers the control driving the racket and stabilizing the grip from tactile history and reconstructs its spatiotemporal force realization.

  10. arXiv cs.RO58

    FERRET: Using Environment Edits as a Corrective Signal for Reward Learning

    The authors propose environment edits as a complementary form of feedback for robot corrections: with the robot's motion held constant, a human edits the scene so that the only explanation for the edit is the moved object. They introduce FERRET (Feature Learning from Environmental and Robot-Relational Edit Traces), which learns preferences from both robot corrections and environment corrections, and they show that environment edits can disambiguate features and learn preferences that robot corrections alone cannot.

  12. arXiv cs.RO52

    From Language to Drives: A Multimodal Framework for Aligning Autonomous Robots with Human Intent

    The study proposes a multimodal framework that uses large language models and vision-language models to translate human purposes expressed in natural language into robot missions and drives, aligning the behavior of open-ended learning autonomous robots with human intent. The system has three layers—semantic alignment, mission generation, and drive modeling—forming a bidirectional interaction loop in which human input defines high-level purposes, the robot expands them into executable missions, and feedback maintains alignment. Simulation and physical robot experiments show that the pipeline can generate effective missions and behaviors.

  13. arXiv cs.RO60

    Context-Aware Generation and Modulation of Expressive Motion Behavior Using Multimodal Foundation Models

    This research proposes a method to automatically generate and modulate complex full-body expressive gesture sequences from multimodal context descriptions spanning text, audio, and video. It implements the principles of animation in a unified way based on Dynamic Movement Primitives (DMP) and uses multimodal foundation models to generate highly context-aware parametric motion variants.

  14. arXiv cs.RO59

    Study: Behavioral quality of human behavior models does not equal robot learning utility

    The paper evaluates multiple types of human behavior models using common generative model metrics in two scenarios, high-speed driving and object handover, and compares them with the downstream performance of reinforcement learning policies trained using these models. The results show that existing behavioral evaluation metrics cannot reliably predict downstream policy performance, and that evaluation results are sensitive to the trajectory representation; even when the true test behavior distribution is known, training with a different distribution may yield better downstream performance.

  15. arXiv cs.RO58

    Review: Communication, Coordination, Collaboration, and Social Interaction in Networked Humanoid Robots

    This 35-page review divides networked humanoid robot intelligence into four functional categories based on information exchange: communication, coordination, collaboration, and social interaction with humans. It surveys the literature along six dimensions: interaction architecture, exchanged information, physical coupling, timescale, system scale, and embodiment.

  16. arXiv cs.RO60

    Dream2Assist: Intent-Conditioned World Models for Shared Vehicle Control

    The authors propose Dream2Assist, a model-based reinforcement learning framework that adds intent inference to a recurrent state-space world model, enabling an assistive policy to anticipate and support discrete human goals without taking over human control. The work also presents a complete deployment pipeline from world-model policy to a safe human-machine system, addressing the sim-to-real-human gap through policy down-selection and reward restructuring, and validates it in two human-subjects studies, high-speed racing (N=30) and urban driving (N=10), plus a preliminary on-vehicle deployment, where intent conditioning produced measurable improvements in torque alignment and collision rate.

  17. arXiv cs.RO52

    A Multimodal Social Perception Framework for Human-Robot Interaction in Virtual Reality

    The study proposes a multimodal framework integrating speech, vision, and touch to generate contextually appropriate robot speech and movement. The team tested it in virtual reality with 18 participants across five social interaction scenarios and compared it against a human teleoperation baseline: the autonomous system scored above the neutral midpoint on both naturalness and social appropriateness, but the teleoperation baseline received significantly higher ratings on both measures. Behavioral coding and feedback showed that conversational timing, clarification of ambiguous requests, and spatial coordination were key factors behind the gap.

  18. OFweek Robotics42

    Robots Have a Hiring Season Too: Which Roles Sell Best?

    In the first half of 2026, global humanoid robot shipments totaled about 19,100 units, up 272% year over year, with Chinese manufacturers accounting for over 97%: AgiBot about 8,400 units and Unitree about 5,900 units. Basic factory operator roles are the only positions that have moved past the trial stage. UBTech's Walker S2 reaches only 30%-50% of human efficiency, while AgiBot's Genie G2 completed 2,283 loading and unloading cycles in 8 hours on Longcheer Technology's 3C production line with a 100% success rate. Hotels and scenic areas remain mostly trials, and home scenarios are still at the demo stage; Fourier's GR-3 only completed a pick-and-deliver demonstration at WAIC.

  19. TetraBOT/天创机器人27

    Tianchuang Robotics joins Nanjing "AI + Emergency Management" roadshow, presents fire control room duty solution

    Tianchuang Robotics was invited to the Nanjing "AI + Emergency Management" roadshow, where it presented a project pitch titled "Humanoid AI Duty Officers Empowering Fire Control Room Upgrades." The solution relies on the "Tianshu" fire control management agent and the "Tianyou" fire control room duty robot to achieve 7×24 uninterrupted duty, equipment inspection, anomaly alerts, and emergency response coordination in fire control rooms. It is currently deployed in more than 20 projects, including nursing homes, hospitals, and commercial complexes.

Oct 26Mon
  1. Reddit r/robotics40

    Watti update: Watti Studio temporarily open, browser animations can drive physical robots

    The Watti project has temporarily opened Watti Studio to everyone. Users can move a virtual robot, add keyframes, and adjust timing in a browser on a computer or phone to create animations. These animations can be performed by a real physical Watti, but the system is still in development, and real-robot videos may arrive with a delay.