Frontiers in Robotics and AI最新文献

{"title":"Persuasion, pride and prejudice: factors associated with students' resistance to a social robot's incorrect mathematical solution.","authors":"Pablo González-Oliveras, Olov Engwall, Ali Reza Majlesi","doi":"10.3389/frobt.2026.1901093","DOIUrl":"10.3389/frobt.2026.1901093","url":null,"abstract":"<p><p>This exploratory study investigates how secondary school students resist or align with a social robot that challenges their reasoning in a curriculum-based mathematics task. Twenty-two students collaborated with a Furhat robot on a geometry problem whose three parts were familiar from class. In the critical part, all students produced task-relevant evidence for the correct solution, while the robot proposed and defended an incorrect solution through argument-based persuasion, without deliberately invoking peripheral persuasive cues. We examined resistance to the robot's informational social influence in two ways. First, as an endpoint outcome, 14/22 students aligned with the robot: three immediately after dissent and eleven after a persuasion debate, while eight resisted. Second, as a process index, we introduce an approach to quantify early expressed resistance: students' responses within the first two persuasion debate exchanges were descriptively coherent with endpoint outcomes. Rather than testing causal or predictive relations among endpoint outcomes, early resistance, and questionnaire or interaction measures, we interpret observed patterns, prior theory, and interactional design to formulate seven hypotheses for future research: Students' resistance may be stronger with higher self-perceived competence (1), with behavioural patterns consistent with self-efficacy when cognitive demands are higher (2), and with stronger task-directed attention before conflict, suggesting that early engagement may provide descriptive markers of later resistance (3). Resistance may be weaker among students reporting more frequent conversational AI/LLM use and stronger preferences for human-like robot attributes (4). For the robot, incorrect arguments may appear more objective and credible when they are delivered through neutral wording, tone, and facial expressions without explicit uncertainty cues (5), and when the arguments, while incorrect, are heuristically plausible (6). Finally, students who aligned may be more vulnerable to later robot influence (7), since uncertainty and trust in the robot's information appeared to rise together during debate until alignment. These hypotheses suggest that calibrated robot behaviours (e.g., signalling uncertainty when the information is less reliable) may help sustain students' resilience and self-efficacy when they engage with persuasive yet fallible educational robots.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1901093"},"PeriodicalIF":3.7,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13601342/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robot-assisted spinal surgery: technological maturity, clinical evidence, and future directions.","authors":"Xue Li, Shilong Li, Minfei Wu, Jianhang Jiao, Tong Yu","doi":"10.3389/frobt.2026.1883508","DOIUrl":"10.3389/frobt.2026.1883508","url":null,"abstract":"<p><p>Robot-assisted spinal surgery has evolved from bone-mounted trajectory guidance to integrated navigation and, in selected research systems, constrained task execution. This evolution has been accompanied by rapid commercial and academic activity, but regulatory status, technical capability, and clinical effectiveness are often conflated. Such conflation can overstate both the maturity of emerging platforms and the certainty of their patient-level benefits. This structured narrative review was developed from a reproducible PubMed search, targeted citation chasing, Crossref metadata verification, and model-specific regulatory checks. Evidence was organized by source class and by outcome domain rather than by manufacturer chronology alone. Established platforms were separated from early clinical and preclinical systems, and regulatory clearance or registration was treated as distinct from evidence of comparative effectiveness. The most consistent evidence concerns pedicle-screw placement accuracy. Comparative studies and evidence syntheses generally favor robot-assisted placement over freehand or fluoroscopy-guided techniques, although the magnitude and consistency of benefit vary by platform, comparator, grading system, and surgeon experience. Radiation exposure may be reduced in some workflows, but acquisition protocols and reporting units are heterogeneous. Evidence for operative time, complications, revision surgery, patient-reported outcomes, and cost-effectiveness remains inconsistent or sparse. The principal contribution of this review is an evidence-maturity framework that links each technical capability to the strongest available clinical evidence and explicitly separates premarket regulatory decisions from claims of clinical superiority. Robot-assisted systems should currently be understood as surgeon-controlled enabling technologies. Future progress will depend less on adding degrees of freedom than on demonstrating reproducible patient benefit, safe task autonomy, interoperable data pipelines, and value across health-care settings.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1883508"},"PeriodicalIF":3.7,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13600806/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Retired medical simulation manikins as a development platform for physically assistive robots: a staged roadmap.","authors":"Nabil Zary, Jalal Alfroukh, Mohamed Alali","doi":"10.3389/frobt.2026.1933962","DOIUrl":"10.3389/frobt.2026.1933962","url":null,"abstract":"<p><p>Physically assistive robots require body designs that ensure safe contact, build trust, and are cost-effective for healthcare providers. However, dedicated platforms often struggle to achieve all three simultaneously. We suggest that high-fidelity medical simulation manikins could serve as a practical development platform in this field. These manikins have an anthropomorphic shape with human-like contact surfaces, internal space for routing cables and mounting devices, and are familiar to clinical staff. Because simulation programs frequently replace their functional units, this hardware can be deployed directly within the institutions that need assistance. Based on a scoping review of 64 studies on manikin adaptation and a pilot project that transformed a retired manikin into a multilingual receptionist for about US$1,200 in additional parts, we propose a staged roadmap: social and cognitive interaction, sensory enhancement, guided physical contact, and active physical assistance, with measurable stage gates governing each transition. The pilot demonstrates only feasibility for conversational and embedded computing, not physical assistance or user acceptance. We recognize limitations, including the need for new load paths, certification under ISO 13482 and related standards, and prospective ethics approval in later stages. Additionally, the realistic appearance of the manikin may pose risks, as added motion to a static, humanlike form can cause discomfort. This roadmap aims to turn these uncertainties into testable hypotheses using an affordable platform and to encourage the assistive robotics community to view the simulation storeroom as a valuable resource.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1933962"},"PeriodicalIF":3.7,"publicationDate":"2026-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13601330/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Force-differential steering of a track-based robotic colonoscope: experimental evaluation in single and multi-bend pipes.","authors":"Jiayang Du, Lin Cao, Sanja Dogramazi","doi":"10.3389/frobt.2026.1904532","DOIUrl":"10.3389/frobt.2026.1904532","url":null,"abstract":"<p><p>This work presents a laboratory-scale track-based robotic colonoscope incorporating a force-differential steering mechanism. A syringe-driven hydraulic system selectively retracts individual tracks to generate asymmetric track-wall contact forces for steering. A theoretical model was developed to describe the relationships between hydraulic input, normal-force modulation, and steering torque and to provide a first-order framework for the mechanism. The prototype, was tested with force sensing and an IMU, was evaluated for straight propulsion and steering in single- and multi-bend flexible pipes. Hydraulic actuation tests showed a near-linear increase in track-wall normal force with increasing syringe input, although the measured force was substantially lower than the theoretical prediction. Steering experiments showed that motion without active steering produced approximately 35° of yaw before traction loss, whereas force-differential steering increased the yaw angle to approximately 45° and enabled negotiation of a 120° bend. Tests under different friction conditions further showed that reduced wall friction impaired steering performance. In a continuous S-shaped pipe, two of three independent trials successfully completed both bends, while one trial exhibited incomplete yaw recovery, indicating trial-to-trial variability and sensitivity to traction conditions. Overall, these results provide proof-of-concept evidence for force-differential steering in a tracked robotic colonoscope and demonstrate that straight propulsion and active planar steering can be achieved within a common tracked locomotion architecture. Further miniaturisation, improved hydraulic control, and evaluation in more physiologically representative environments are required before clinical applicability can be assessed.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1904532"},"PeriodicalIF":3.7,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597221/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LLM-powered socially assistive robot-delivered cognitive behavioral therapy exercises: an exploratory study with university students.","authors":"Mina Kian, Mingyu Zong, Katrin Fischer, Abhyuday Singh, Anna-Maria Velentza, Amy O'Connell, Lydia Ignatova, Pau Sang, Shriya Upadhyay, Anika Gupta, Misha A Faruki, Wallace Browning, Sébastien M R Arnold, Meng Chen, Bhaskar Krishnamachari, Maja J Matarić","doi":"10.3389/frobt.2026.1802622","DOIUrl":"10.3389/frobt.2026.1802622","url":null,"abstract":"<p><p>Mental health is a significant healthcare challenge, and cognitive behavioral therapy (CBT) is a widely used therapeutic method for treating anxiety and depression. However, traditional CBT often requires access to trained clinicians and can be cost-prohibitive or logistically difficult for many individuals. To address these barriers, we developed a low-cost socially assistive robot (SAR) that uses a large language model (LLM) to guide the user through interactive at-home CBT exercises. In this exploratory study, 38 university students completed CBT exercises across a 15-day period using one of three modalities: with a robot (using an LLM for dialogue), a chatbot (using the same LLM for dialogue), or traditional CBT worksheets. We measured weekly therapeutic outcomes, changes in pre-/post-session anxiety measures, and adherence to completing CBT exercises. Our findings indicate that self-reported general psychological distress significantly decreased over the study period in the robot and worksheet conditions but not in the chatbot condition. Additionally, the SAR enabled significant single-session improvements on more days than the other two conditions combined. Mixed-effects modeling further An analysis with a mixed-effects model also suggested that the robot and chatbot conditions better reduced post-session anxiety for those with elevated levels of anxiety. Our findings suggest that SAR-guided, LLM-powered CBT may be an effective method for supporting therapeutic progress and decreasing user anxiety immediately after completing the CBT exercise. The findings underscore the potential for combining AI-driven personalization with socially assistive robotics to create accessible, scalable, and engaging mental health interventions.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1802622"},"PeriodicalIF":3.7,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597320/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149041335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new integrated hybrid technique for risk assessment in human-robot collaboration.","authors":"Kristyna Hamrikova, Daniel Hartmann, Ales Vysocky, Vendula Laciok, Radim Hercik, Ales Bernatik","doi":"10.3389/frobt.2026.1916227","DOIUrl":"10.3389/frobt.2026.1916227","url":null,"abstract":"<p><p>Human-robot collaboration offers new opportunities to increase productivity, flexibility and ergonomics in work processes, however, it also introduces specific risks associated with a shared workspace between humans and robots, for which traditional risk assessment techniques may not be sufficiently effective. This article summarizes selected risk assessment techniques designed for the field of Human-Robot Collaboration (HRC) and evaluates their strengths and weaknesses with respect to their applicability in a collaborative environment. Based on the identified limitations, a new hybrid technique is presented that combines Hierarchical Task Analysis (HTA), Hazard and Operability Study (HAZOP), Process Failure Mode and Effects Analysis (HRC-PFMEA) and Risk matrix. The proposed approach integrates qualitative and quantitative risk assessments, enables risk identification at an early stage of system design, and increases the transparency of work processes. The applicability and logical workflow of the proposed method are demonstrated using a simulation scenario of an assisted assembly workstation created in a digital environment.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1916227"},"PeriodicalIF":3.7,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149031807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"NeglectARm3D: a robotic and virtual reality platform for the three-dimensional assessment of unilateral spatial neglect.","authors":"Daniele Somma, Andrea Mannini, Chiara Pedrini, Francesca Cecchi, Egidio Falotico","doi":"10.3389/frobt.2026.1944332","DOIUrl":"10.3389/frobt.2026.1944332","url":null,"abstract":"<p><p>Unilateral Spatial Neglect (USN) significantly impacts functional outcomes post-stroke, yet traditional assessment methods, relying predominantly on two-dimensional (2D) paper-and-pencil tasks, fail to capture the disorder's complexity across three-dimensional (3D) space and, in particular, the role of depth. This paper introduces NeglectARm3D, a platform for the objective and repeatable 3D assessment of USN that integrates the precise kinematic and force measurement of a 7-DOF torque-controlled robot (Franka Research 3) with the immersive 3D stimulus presentation of a commercial head-mounted display (Meta Quest 3). A Cartesian variable impedance controller lets the participant reach freely toward randomized 3D targets (Phase 1, subject in charge), enabling the reconstruction of a volumetric exploration map, and delivers smooth haptic guidance toward neglected targets (Phase 2, robot in charge). As a first step toward clinical deployment, we evaluated the technical behavior, safety, and tolerability of the platform in twelve healthy adults performing thirty reaching trajectories (twenty in Phase 1, ten in Phase 2). The system preserved natural movement velocity ( <math><mrow><mn>0.10</mn> <mo>±</mo> <mn>0.02</mn></mrow> </math> vs. <math><mrow><mn>0.10</mn> <mo>±</mo> <mn>0.01</mn></mrow> </math> m/s), achieved large position error in free reaching ( <math><mrow><mn>32.46</mn> <mo>±</mo> <mn>14.71</mn></mrow> </math> mm) <i>versus</i> precise robot-led convergence ( <math><mrow><mn>3.01</mn> <mo>±</mo> <mn>0.43</mn></mrow> </math> mm) with reduced interaction force ( <math><mrow><mn>4.96</mn> <mo>±</mo> <mn>0.84</mn></mrow> </math> vs. <math><mrow><mn>2.59</mn> <mo>±</mo> <mn>0.32</mn></mrow> </math> N), and maintained physiological movement smoothness (SPARC <math><mrow><mo>-</mo> <mn>1.87</mn> <mo>±</mo> <mn>0.29</mn></mrow> </math> vs. <math><mrow><mo>-</mo> <mn>1.63</mn> <mo>±</mo> <mn>0.32</mn></mrow> </math> , benchmark <math><mrow><mo>-</mo> <mn>1.40</mn></mrow> </math> ). Usability was high (System Usability Scale <math><mrow><mn>85.60</mn> <mo>±</mo> <mn>8.10</mn></mrow> </math> ), simulator sickness was low across all subscales, and all participants reported no pain and no perception of danger. These results support the technical feasibility and short-term tolerability of the integrated platform in healthy adults and justify subsequent clinical and psychometric evaluation in stroke survivors with USN.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1944332"},"PeriodicalIF":3.7,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13597382/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149031841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personalized robotic interventions for apathy in dementia: the RAPHAel trial.","authors":"Claudia Casadio, Vanessa Zanelli, Valentina Bettelli, Francesco Ricci, Lucrezia Grassi, Pietro Benvenuti, Erika Rovini, Giulia Smecca, Sara Isernia, Simone Salemme, Manuela Tondelli, Annalisa Chiari, Francesca Baglio, Filippo Cavallo, Fausta Lui, Francesca Benuzzi, Laura Fiorini, Antonio Sgorbissa, Giovanna Zamboni","doi":"10.3389/frobt.2026.1913791","DOIUrl":"10.3389/frobt.2026.1913791","url":null,"abstract":"<p><strong>Background: </strong>Apathy is common in individuals with mild cognitive impairment (MCI) or dementia and mild behavioral impairment (MBI), and is associated with reduced quality of life and increased caregiver burden. Home-based robot-assisted interventions offer a novel approach for cognitive stimulation and behavioral management, but robust evidence on feasibility, acceptability, and clinical impact is limited.</p><p><strong>Objectives: </strong>To evaluate the effects of home-based robotic interventions on the level of apathy in individuals with cognitive decline, including MCI, MBI, and dementia. Secondary objectives are to assess the usability of the robotic devices and the extent of patients' interactions with and through these technologies, as well as to evaluate the effects of the robotic interventions on caregivers' stress levels and quality of life.</p><p><strong>Methods: </strong>This single-blind, randomized controlled trial includes three arms: two experimental robot-assisted interventions (tele-operated cognitive stimulation and humanoid robot) and an active control group receiving occupational therapy, which represents the current gold-standard intervention. Eighty patients with MCI, MBI, or dementia, and clinically significant apathy, together with their study partners, will be recruited from neurology, geriatrics, and neurorehabilitation centers in Italy. Each intervention will last 6 weeks. Assessments will be performed at baseline (T0), post-intervention (T1), and follow-up (T2) and will include clinical questionnaires, cognitive and social cognition tasks, and sensor-based measures of social grasping.</p><p><strong>Conclusion: </strong>This study will provide evidence on the potential clinical benefits, feasibility, and acceptability of home-based robot-assisted interventions for apathy in cognitive decline, as well as inform the development of digital markers for personalized monitoring and intervention.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1913791"},"PeriodicalIF":3.7,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13593512/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149026521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating social drones for recreational running through co-design.","authors":"Sofia Thunberg, Stine Schmieg Johansen, Martin Bergström, Mohammad Obaid","doi":"10.3389/frobt.2026.1897014","DOIUrl":"10.3389/frobt.2026.1897014","url":null,"abstract":"<p><strong>Introduction: </strong>Human-drone interaction is an emerging field investigating ways to extend the conventionally passive role of drones with autonomous, socially interactive functionalities. Drones offer unique opportunities for applications, such as exercise support, due to their mobility and flexibility. While previous research has studied drones for, e.g., pacing, gait analysis, and accessibility in running contexts, we propose that an equally crucial part of such applications is the socially interactive role of the drone.</p><p><strong>Methods: </strong>We present a study in two phases. In the first phase, we conducted a preliminary study that informed the design of a co-design workshop through eight semi-structured interviews exploring drone support for runners. In the second phase, we designed and conducted a co-design workshop with five experienced recreational runners to reflect on the practical and ethical challenges of using drones and to envision ways in which drones could support and interact with runners in future scenarios. The collected materials were analyzed using reflexive thematic analysis and annotated visual analysis.</p><p><strong>Results: </strong>The results present five low-fidelity social drone prototypes, including participants' reflections tied to each prototype. Furthermore, we present analytical themes that demonstrate the necessity of extending and re-framing approaches to designing social drones.</p><p><strong>Discussion: </strong>The paper makes three key contributions. First, we offer an approach to co-designing social drones that focus on eliciting the experiences of participants and manifesting those in concrete, embodied design concepts. Second, we validate the existing Design Space for Social Drones framework through a concrete application domain. Our validation shows that the dimensions can be further detailed, and that non-user perspectives are a potentially crucial extension. Third, we present three recommendations that encapsulate concerns for further designs of social drones.</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1897014"},"PeriodicalIF":3.7,"publicationDate":"2026-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13590392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149018308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Predictive fatigue-aware human-robot collaboration: a real-time, open-source ROS 2 instantiation of a three-module human-centric digital twin framework on a standard cobot.","authors":"Ranidu P Goonetilleke, Azfar Khalid","doi":"10.3389/frobt.2026.1964098","DOIUrl":"https://doi.org/10.3389/frobt.2026.1964098","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/frobt.2026.1897261.].</p>","PeriodicalId":47597,"journal":{"name":"Frontiers in Robotics and AI","volume":"13 ","pages":"1964098"},"PeriodicalIF":3.7,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13584713/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148991975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}