{
  "count": 39,
  "items": [
    {
      "id": 18473,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1865290",
      "title": "ConceptACT: episode-level concepts for sample-efficient robotic imitation learning",
      "summary": "Imitation learning enables robots to acquire complex manipulation skills from human demonstrations, but current methods rely solely on low-level sensorimotor data while ignoring the rich semantic knowledge humans naturally possess about tasks. We present ConceptACT, an extension of Action Chunking with Transformers that leverages episode-level semantic concept annotations during training to improve learning efficiency. Unlike language-conditioned approaches that require semantic input at deploym",
      "authors": "Jakob Karalus",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-08-12T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/18473"
    },
    {
      "id": 18474,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1898805",
      "title": "Effect of a robotic insole-type active assist device on horizontal ground reaction force and center-of-pressure stability during stepping in patients with medial knee osteoarthritis",
      "summary": "An insole-type active assist device has been developed as a robotic system to dynamically correct ankle alignment at heel contact in patients with medial knee osteoarthritis. Although our previous feasibility study demonstrated that the device could be safely used during an on-the-spot stepping task, its effects on loading behavior remain unclear. This study aimed to investigate whether dynamic ankle alignment correction using the device alters horizontal ground reaction force variability and ce",
      "authors": "Taku Itami",
      "category": "research",
      "topics": "safety-alignment,agents-autonomy,finance-investment",
      "published_at": "2026-08-12T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/18474"
    },
    {
      "id": 17493,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1812453",
      "title": "Gender and diagnostic differences in children’s preferences for social robot design. A mixed-methods study with autistic and neurotypical children",
      "summary": "IntroductionAutistic children are increasingly engaging with social robots in educational and support contexts, but limited research has compared the perceptual and design preferences of autistic and neurotypical children.MethodsThis mixed-methods study examined the robot design preferences of 43 children aged 3–15 years, including 21 autistic and 22 neurotypical children, and included semi-structured interviews with 11 adult stakeholders, comprising six experts and five non-experts. Quantitativ",
      "authors": "Gema Benedicto Rodríguez",
      "category": "research",
      "topics": "healthcare,children-education,agents-autonomy",
      "published_at": "2026-08-07T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/17493"
    },
    {
      "id": 16715,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1905578",
      "title": "PFEA: a VLM-based high-level natural language planning and feedback embodied agent for human-centered AI",
      "summary": "The rapid advancement of Large Language Models (LLMs) has led to significant progress in Artificial Intelligence (AI), ushering in a new era of human-centered AI (HAI). Intelligent agents powered by LLMs provide new opportunities for realizing HAI. However, existing LLM-based embodied agents often lack online planning capabilities and may generate actions involving objects that are not present in the current environment. In this paper, we propose a closed-loop framework for planning and evaluati",
      "authors": "Wenbin Ding",
      "category": "research",
      "topics": "agents-autonomy,environment",
      "published_at": "2026-08-06T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/16715"
    },
    {
      "id": 17150,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1892296",
      "title": "Contact-aware multi-skill learning framework with hybrid force-motion control for stability and force regulation in robotic physiotherapy",
      "summary": "Robot-assisted physiotherapy has attracted increasing attention for its potential to provide repeatable, stable, and controllable physical interaction during rehabilitation-oriented therapy. However, contact-rich physiotherapy tasks remain challenging because the robot must reproduce therapist-demonstrated massage skills while adapting to non-planar and deformable body surfaces, suppressing impact during contact transition, and maintaining stable force regulation. This paper proposes a contact-a",
      "authors": "Xueqian Zhai",
      "category": "research",
      "topics": "regulation,agents-autonomy",
      "published_at": "2026-08-06T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/17150"
    },
    {
      "id": 16353,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1885625",
      "title": "Combining exploration and imitation in contact-rich task learning on an articulated soft robot arm",
      "summary": "Learning from demonstration (LfD) has become a popular approach with the emergence of modern transformer-based algorithms. However, the performance of these policies is limited by the quality of the demonstrations. Combining imitation and exploration promises to train policies that perform better and are more reliable. However, this requires a robotic system that can explore safely without damaging itself or the environment, especially in contact-rich tasks during which the robot must exert forc",
      "authors": "Laurenz Elstner",
      "category": "research",
      "topics": "agents-autonomy,environment",
      "published_at": "2026-08-05T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/16353"
    },
    {
      "id": 16716,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1857704",
      "title": "Robots in mine search and rescue operations: a review of platforms and design requirements",
      "summary": "The use of automation in mining can be found at all stages of the mining process, covering exploration, excavation, loading, transportation, mineral processing, and search and rescue missions in emergency situations. Due to the harsh conditions during an underground mine disaster, robots can be of great assistance to rescue teams by entering areas that are unsafe for human rescuers, locating trapped workers, and collecting valuable data. The design and implementation of coal-mine rescue robots a",
      "authors": "R. Bakzadeh",
      "category": "research",
      "topics": "jobs-economy,agents-autonomy",
      "published_at": "2026-08-05T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/16716"
    },
    {
      "id": 15937,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1897261",
      "title": "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",
      "summary": "Industry 5.0 cobotics calls for collaborative robots that adapt to the operator’s physical and cognitive state in real time. Most current industrial deployments remain reactive, responding only after explicit commands and ignoring the operator’s psychophysiological condition. The three-module Human-Centric Digital Twin (HCDT) framework establishes the upstream perception-and-reasoning architecture for such systems using Vision-Language Models, and identifies closed-loop feedback and physical-ass",
      "authors": "Ranidu P. Goonetilleke",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-08-04T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/15937"
    },
    {
      "id": 16354,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1843313",
      "title": "CoMuRoS - An LLM-based generalizable hierarchical task planning and execution framework for heterogeneous robot teams with event-driven re-planning",
      "summary": "Heterogeneous multi-robot teams require systems that can interpret natural-language goals, allocate tasks, and adapt to unexpected events. We developed CoMuRoS (Collaborative Multi-Robot System), a generalizable hierarchical architecture combining a centralized task-manager LLM with decentralized robot-level LLMs for executable Python generation from primitive ROS2 skills. The task manager uses static planning rules and dynamic context, including task history, robot/task status, and detected eve",
      "authors": "Suraj Borate",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-08-04T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/16354"
    },
    {
      "id": 15714,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1870024",
      "title": "Predictive vision-language monitoring for proactive safety in robot task execution",
      "summary": "Robots that execute language-conditioned tasks in dynamic environments often rely on feedback only after an action has failed, which can be insufficient when failures involve collisions or workspace conflicts. This paper presents a predictive monitoring framework that uses Vision-Language Models (VLMs) to assess near-future execution risk during robot task execution. The framework first generates structured plans with action execution conditions and a plan-level fallback action. During execution",
      "authors": "Juan Diego Peña-Narvaez",
      "category": "research",
      "topics": "agents-autonomy,environment",
      "published_at": "2026-08-03T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/15714"
    },
    {
      "id": 15715,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1847808",
      "title": "Explainable AI analysis of brake control in CARLA through reference and distilled policies",
      "summary": "This paper presents an explainable AI analysis of brake control in CARLA closed-loop driving. Longitudinal braking is studied through a threshold policy, a risk-aware reference policy, and a distilled policy learned from reference rollouts. The framework combines structured traffic-state features, high-fidelity XGBoost surrogates, and SHAP to analyze deployed brake behavior across Town10HD and Town05. Results show that brake generation is consistently dominated by front-vehicle distance, relativ",
      "authors": "Chenghao Wang",
      "category": "research",
      "topics": "regulation,transparency",
      "published_at": "2026-08-03T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/15715"
    },
    {
      "id": 14635,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1836165",
      "title": "Feedback modalities in human-cobot collaboration: experimental evaluation of performance, user experience, and physiological responses",
      "summary": "Collaborative robots (cobots) are increasingly deployed in industrial as well as non-industrial domains to support human-centered operation. While physical safety and task efficiency have received considerable attention, less is known about how feedback modality influences operator experience and physiological responses under different collaboration demands. This study examines the effects of feedback modalities in two human–cobot collaboration scenarios representing distinct coordination struct",
      "authors": "Amir Biton",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-30T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/14635"
    },
    {
      "id": 14636,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1883320",
      "title": "Object-grounded embodied picking for e-commerce warehouse fulfillment: a foveated diffusion policy for operational robustness",
      "summary": "Embodied picking for e-commerce fulfillment remains vulnerable to dense clutter, reflective packaging, and background variation, which can undermine the effectiveness and robustness of visuomotor policies learned from demonstrations. A key limitation is the absence of explicit object grounding, causing policies to exploit spurious contextual cues rather than task-relevant visual evidence. To address this issue, we propose the Foveated Diffusion Policy (FDP), which integrates object-centric visua",
      "authors": "Chaoqun Li",
      "category": "research",
      "topics": "regulation",
      "published_at": "2026-07-30T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/14636"
    },
    {
      "id": 14230,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1827739",
      "title": "Learning faults in time: sequential behavioural modelling for complex fault detection in multi-robot systems",
      "summary": "Reliable fault detection in multi-robot systems requires models capable of capturing complex, time-dependent fault signatures that manifest over extended temporal horizons rather than instantaneous observations alone. Existing data-driven approaches operate reactively on behavioural snapshots, failing to capture fault modes whose discriminative signature depends on temporally ordered precursors. This work formalises a theoretical impossibility result demonstrating that memoryless classifiers are",
      "authors": "Faisal Firas Mazloum",
      "category": "research",
      "topics": "bias-fairness,agents-autonomy",
      "published_at": "2026-07-29T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/14230"
    },
    {
      "id": 13868,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1846413",
      "title": "The human-robot interaction scale database",
      "summary": null,
      "authors": "Laura Saad",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-28T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/13868"
    },
    {
      "id": 13642,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1812386",
      "title": "Crowd navigation in a multi-room environment: a model predictive control framework for mobile robots",
      "summary": "Mobile robots operating in human-populated environments must navigate complex, multi-room spaces while ensuring safety, i.e., generating collision-free motion. In this study, we present a sensor-based model predictive control (MPC) scheme designed for safe crowd navigation in such non-convex environments. The proposed framework decomposes the free space into a set of overlapping convex regions to construct a topological graph, enabling a high-level planner to compute optimal sequences of travers",
      "authors": "Giovanbattista Gravina",
      "category": "research",
      "topics": "agents-autonomy,environment",
      "published_at": "2026-07-27T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/13642"
    },
    {
      "id": 13869,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1855443",
      "title": "Robotic lava tube mapping and multimodal data collection using quadruped and LiDAR",
      "summary": "As part of TU Delft Rhizome 2.0 and Moonshot projects, focusing on the development of extraterrestrial habitats in lava tubes, the robotic mapping of an analogue lava tube in Sicily has been studied with the future goal of assessing its suitability for building construction. The main objective of the research was to survey a lava tube and acquire a novel dataset for future research, while also analyzing the collected data to evaluate possible future lava tube exploration scenarios for the Moon a",
      "authors": "A. J. Hidding",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-27T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/13869"
    },
    {
      "id": 13182,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1928993",
      "title": "Editorial: Advanced sensing, learning and control for effective human-robot interaction",
      "summary": null,
      "authors": "Zhenyu Lu",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-24T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/13182"
    },
    {
      "id": 12403,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1847701",
      "title": "Decoupling what, how, and when for observing decision-making context in autonomous robots",
      "summary": "This paper presents an approach that decouples what to observe, how to observe it, and when observations are required for decision-making in autonomous robots. Situation awareness is essential for efficient and reliable autonomous robot operation, but despite advances toward parallelizing perception and action, key challenges remain in making perception aware of the current context and ensuring observability during action execution. To address this, we explicitly model the decision-making contex",
      "authors": "Johannes Ernst",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-22T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/12403"
    },
    {
      "id": 12039,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1823324",
      "title": "Uncertainty-guided informative path planning for ecological monitoring using autonomous surface vehicles under Dubins motion constraints",
      "summary": "Autonomous surface vehicles (ASVs) enable efficient in-situ data collection for large-scale ecological monitoring; however, effective environmental mapping requires planning strategies that account for not only informative measurements, but also vehicle motion constraints and limited mission resources. Existing approaches often rely on stationary environmental models or loosely coupled planning frameworks that do not fully exploit model uncertainty when generating feasible trajectories. To addre",
      "authors": "Jalil Chavez-Galaviz",
      "category": "research",
      "topics": "environment",
      "published_at": "2026-07-21T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/12039"
    },
    {
      "id": 12040,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1815258",
      "title": "IonPad adhesive gripper with variable-stiffness endoskeleton",
      "summary": "In this study, we develop an innovative adhesion gripper capable of handling plate-like objects with various thicknesses without causing damage. The gripper combines an adhesion pad utilizing intermolecular forces and a variable-stiffness endoskeleton, allowing for precise adjustment of the pressing force during contact and the adhesion force while gripping an object. Central to its design is the fluid-driven and origami-structured endoskeleton that regulates contact and adhesion forces by contr",
      "authors": "Yuno Takitani",
      "category": "research",
      "topics": "regulation",
      "published_at": "2026-07-21T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/12040"
    },
    {
      "id": 11070,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1873168",
      "title": "A multimodal dataset for socially aware navigation of heavy-duty construction robots",
      "summary": null,
      "authors": "Carlos A. P. Pizzino",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-17T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/11070"
    },
    {
      "id": 11071,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1857847",
      "title": "Hybrid task and motion planning with reactive collision handling for multi-robot disassembly of complex products: application to EV batteries",
      "summary": "This paper addresses the problem of multi-robot coordination for complex manipulation task sequences. We present a vision-driven task-and-motion planning (TAMP) framework for a real dual-agent platform that integrates task decomposition and allocation with a learning-based planner. A GMM-informed RRT motion planner is coupled with a hybrid safety layer that combines predictive collision checking in a MoveIt/FCL digital twin with reactive avoidance and replanning. This integration is challenging ",
      "authors": "Abdelaziz Shaarawy",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-16T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/11071"
    },
    {
      "id": 11072,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1835473",
      "title": "Structural predictors and latent maturity regimes of robotic readiness in global health systems: evidence from machine learning-based latent clustering and class prediction",
      "summary": "BackgroundThe systematic integration of robotics into health service delivery systems requires periodic assessment of robotic readiness in terms of digital-health maturity regimes across countries. The current study aims to cluster 169 countries into maturity regimes and classify and predict cluster membership accuracy based on digital-health maturity dimensions determining the system’s perception and interoperability, coordination, and workforce–regulatory reliability readiness. These country-l",
      "authors": "Moumita Mukherjee",
      "category": "research",
      "topics": "regulation,jobs-economy,healthcare,agents-autonomy",
      "published_at": "2026-07-16T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/11072"
    },
    {
      "id": 10374,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1853007",
      "title": "Benchmark evaluation in task and motion planning using iteratively deepened AND/OR graph networks",
      "summary": "In robotics research, each subdomain presents a distinct set of challenges, and any framework designed for a given domain must effectively address these complexities. However, a single application within that domain may not fully capture the breadth of challenges inherent to it. To enable systematic and comprehensive evaluation, the robotics community has developed standardized problem scenarios and associated performance metrics, commonly referred to as benchmarks, which collectively represent ",
      "authors": "Hossein Karami",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-15T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/10374"
    },
    {
      "id": 10687,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1829436",
      "title": "Object-centric diffusion policies for real-world robotic-arm imitation learning",
      "summary": "Imitation learning in complex, unstructured environments remains challenging due to the difficulty of grounding perception in physically meaningful representations and the need to model multimodal action distributions. Existing approaches often rely on unstructured pixel-level feature encodings or stochastic latent-variable decoders, which can lead to brittle attention in cluttered scenes. In this work, we present a novel integration of detector-based visual representations with conditional diff",
      "authors": "Prashant Reddy Kasu",
      "category": "research",
      "topics": "agents-autonomy,environment",
      "published_at": "2026-07-15T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/10687"
    },
    {
      "id": 2173,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1756174",
      "title": "SpatialPrompting: pose-aware keyframe prompting for 3D spatial QA toward smart indoor environments",
      "summary": "SpatialPrompting is a practical, training-free and model-agnostic framework for 3D spatial reasoning with off-the-shelf multimodal large language models, requiring no fine-tuning or 3D-specific inputs. It adopts a pose-aware, keyframe-driven prompting strategy: we select a compact, diverse set of frames using vision–language similarity, Mahalanobis distance, field of view, and image sharpness, and then verbalize each camera pose to enable multi-view, viewpoint-aware reasoning within a single str",
      "authors": "Shun Taguchi",
      "category": "research",
      "topics": "environment",
      "published_at": "2026-07-14T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2173"
    },
    {
      "id": 2175,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1819714",
      "title": "Zero-shot semantic landmark-based visual odometry using foundation models for unstructured planetary exploration",
      "summary": "Precise autonomous navigation on unstructured planetary surfaces is a critical prerequisite for future exploration missions, particularly in GNSS-denied environments such as the Lunar South Pole or Martian deserts. Traditional Visual Odometry (VO) methods, which rely on tracking low-level geometric features (e.g., corners), often fail under the extreme illumination contrast of the Moon or the textural monotony of the Martian regolith. In this work, we present a zero-shot semantic landmark-based ",
      "authors": "Cristina Pérez-Ramos",
      "category": "research",
      "topics": "privacy-surveillance,environment",
      "published_at": "2026-07-08T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2175"
    },
    {
      "id": 2178,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1877762",
      "title": "OpenAI single-agent LLM architecture reduces computational overhead relative to multi-agent orchestration in a simulated mars rover decision-support benchmark",
      "summary": "Mars rover missions require decision-support systems that can interpret terrain, telemetry, environmental conditions, and mission objectives under delayed communication with Earth. This study evaluates whether multi-agent orchestration improves simulated Mars rover decision support compared with a single-agent baseline. A controlled benchmark of 100 synthetic mission-inspired rover scenarios was evaluated using OpenAI GPT-4o and GPT-5.5, with five repeated runs per scenario and architecture. Mod",
      "authors": "Dan Sanabria",
      "category": "research",
      "topics": "agents-autonomy,environment",
      "published_at": "2026-07-06T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2178"
    },
    {
      "id": 2182,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1844439",
      "title": "Vision-based vs. IMU-based upper-limb pose estimation in assisted dressing: a comparative study of positional accuracy and kinematic fidelity",
      "summary": "Accurate estimation of upper-limb kinematics is essential for applications such as rehabilitation assessment and assistive robotics, yet remains challenging in real-world scenarios involving occlusion and physical human interaction. While vision-based pose estimation methods have advanced significantly, their ability to recover reliable joint kinematics under such conditions remains unclear. This paper presents a systematic comparison of vision-based and wearable sensing approaches for upper-lim",
      "authors": "Yasmin Rafiq",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-07-01T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2182"
    },
    {
      "id": 2186,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1840011",
      "title": "Morphology and control roles in perturbed standing recovery: a robotic study",
      "summary": "Postural balance is essential for both humans and robots, as failures increase fall risk and limit robotic performance in real-world settings. Although humans and robots share fundamental balancing mechanics, biological complexity limits the isolation of individual muscle functions and direct principle transfer to robots. In this study, we use EPA-Walker, a bio-inspired robot actuated by electric motors and pneumatic artificial muscles (PAMs), as a physical platform to investigate perturbed stan",
      "authors": "Yelin Jiang",
      "category": "research",
      "topics": "agents-autonomy,finance-investment,biotech",
      "published_at": "2026-07-01T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2186"
    },
    {
      "id": 2190,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1791812",
      "title": "Exploring deep reinforcement learning acceleration by superscaling data augmentation via branched fractal symmetries",
      "summary": "Learning deep reinforcement learning (DRL) policies directly in physical robots remains bottlenecked by slow wall-clock training times. We present preliminary research on Branched Euclidean Group Fractal Symmetries, a trajectory-level augmentation framework that super-scales group transformations to accelerate policy learning for manipulation. We model a Markov decision process (MDP) as a tree of state–action pairs; at each depth, affine transformations generate geometric structures, within whic",
      "authors": "Ryan Vander Stelt",
      "category": "research",
      "topics": "regulation,agents-autonomy",
      "published_at": "2026-07-01T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2190"
    },
    {
      "id": 2194,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1809951",
      "title": "A new paradigm for marine ecological monitoring through swarm intelligence, digital twins, and Human–Swarm interaction",
      "summary": "Marine and coastal ecosystems are among the least observable yet most rapidly changing environments, where climate impacts, pollution, and biodiversity loss demand monitoring and intervention at scales that manual sampling and single-robot deployments cannot sustain. This paper argues for a conceptual shift in ecological monitoring and restoration toward networked robotic ecosystems, adopting cooperative swarms of autonomous aquatic robots coupled to in-situ digital twins and human-in-the-loop s",
      "authors": "Micael S. Couceiro",
      "category": "research",
      "topics": "agents-autonomy,environment",
      "published_at": "2026-06-30T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2194"
    },
    {
      "id": 2198,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1827676",
      "title": "Low-cost social robot designs for education: a review",
      "summary": "Social robots have shown promising potential in educational contexts worldwide, with studies reporting significant cognitive and affective gains when such robots are deployed. However, among other factors, the high cost of commercial robots limits this line of research to a small number of laboratories and hinders large-scale adoption in real-world educational settings, with most studies remaining short-term pilot interventions. Although several reviews exist in this domain, they primarily focus",
      "authors": "Edger P. Rutatola",
      "category": "research",
      "topics": "children-education,agents-autonomy",
      "published_at": "2026-06-30T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2198"
    },
    {
      "id": 2202,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1897548",
      "title": "Editorial: The role of communication and emotion in human-robot interaction: a psychological perspective",
      "summary": null,
      "authors": "Karolina Eszter Kovács",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-06-29T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2202"
    },
    {
      "id": 2206,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1810071",
      "title": "Projection surface detection and pose selection for autonomously displaying multimedia on walls using mobile robots",
      "summary": "Mobile robots equipped with projectors enable versatile applications such as multimedia display, interactive communication, and environmental augmentation. However, wall projection, which is required for displaying multimedia content on walls, remains challenging, because it is difficult to autonomously locate a projection space that is both flat and unobstructed. Some existing approaches address wall projection using 2D maps or by considering only large continuous surfaces, but these methods fa",
      "authors": "Kay Richter",
      "category": "research",
      "topics": "agents-autonomy,environment",
      "published_at": "2026-06-29T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2206"
    },
    {
      "id": 2210,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1904541",
      "title": "Correction: Morphological symmetry-aware generalized policy network for deep reinforcement learning",
      "summary": null,
      "authors": "Frontiers Production Office",
      "category": "research",
      "topics": "regulation",
      "published_at": "2026-06-29T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2210"
    },
    {
      "id": 2214,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1842384",
      "title": "Uncertainty-aware estimation, planning, and control for tracking multiple drifting patches in flow fields",
      "summary": "In this study, we present a replay-based framework for uncertainty-aware persistent tracking of multiple advected surface patches using an autonomous marine vehicle operating in spatiotemporal-varying currents. The method combines three components: local flow estimation, covariance-aware patch-boundary propagation with intermittent boundary fusion, and mission-level scheduling over multiple patches. Each patch is represented by a polygonal boundary, whose vertices are propagated through the esti",
      "authors": "Daniel O. Akanji",
      "category": "research",
      "topics": "privacy-surveillance",
      "published_at": "2026-06-26T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2214"
    },
    {
      "id": 2217,
      "url": "https://www.frontiersin.org/articles/10.3389/frobt.2026.1791424",
      "title": "TouchWGNN: spatio-temporal tactile perception for multimodal dexterous manipulation",
      "summary": "Dexterous in-hand manipulation requires robotic hands to estimate object-state reliably under frequent occlusions, contact-rich interactions, and fast dynamics. Tactile sensing provides high-frequency, contact-specific feedback, although extracting useful representations from raw tactile signals and integrating them with vision and proprioception remains challenging. In this article, we present TouchWGNN, a multimodal dexterous manipulation framework that explicitly models tactile signals as a s",
      "authors": "Yu Ning",
      "category": "research",
      "topics": "agents-autonomy",
      "published_at": "2026-06-26T00:00:00.000Z",
      "source": "Frontiers in Robotics and AI",
      "ethics_ai_record_url": "https://ethics.ai/record/2217"
    }
  ],
  "attribution": "via ethics.ai"
}