arXiv AI
Jun 10
Exploration of Foundation Model-Based Robots in Patient and Elderly Care
arXiv:2606. 10208v1 Announce Type: cross Abstract: Demand for older-adult and patient care is growing rapidly as populations age worldwide.
Navigating human-robot interaction challenges in private and residential aged care homes
The chapter examines how robotic systems and ambient intelligence can improve care for older adults in both residential aged care homes and private homes, highlighting the extreme and challenging nature of these environments. It reviews embodied and non‑embodied solutions for daily living, safety monitoring, and social engagement, emphasizing hybrid deployments that combine robots with fixed and wearable sensors. Design considerations focus on accessibility, privacy, trust, and practical evaluation metrics such as false alarms, fault recovery time, staff workload, and long‑term reliability, while outlining future research challenges for scalable, regulation‑ready deployments.
Related stories
Hugging Face Trending Papers
Jul 7
Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction
While personalisation is becoming a defining capability in human-robot interaction (HRI), the existing literature on responsible personalisation remains fragmented, offering isolated accounts of ethical risks without a structured understanding of how they emerge across interaction contexts. This gap is particularly critical in HRI, where robots' embodiment and social presence can amplify and reshape such risks or generate new types of risks.
arXiv AI
Jul 8
Responsible Personalisation: The Double-Edged Sword of Personalisation in Human-Robot Interaction
arXiv:2607. 06344v1 Announce Type: cross Abstract: While personalisation is becoming a defining capability in human-robot interaction (HRI), the existing literature on responsible personalisation remains fragmented, offering isolated accounts of ethical risks without a structured understanding of how they emerge across interaction contexts.
Hugging Face Trending Papers
Jul 13
A Glimpse into Long-term Physical Coexistence with Intelligent Robots
Long-term physical coexistence with intelligent robots requires more than capable robot policies. A persistent robotic assistant must support diverse user-facing interfaces, maintain long-horizon memory of people and preferences, coordinate across robot embodiments, and translate human intent into safe physical execution.
arXiv Computation and Language
Oct 1
TALK-Dem: Benchmarking Embodied Task Planning under Dementia-Associated Communication Patterns
arXiv:2609.38371v1 Announce Type: cross Abstract: Existing LLM-driven robot task planners rely on a taken-for-granted assumption of an ideal user whose instructions are clear, complete, and task-focu...
arXiv AI
Jul 14
A Glimpse into Long-term Physical Coexistence with Intelligent Robots
arXiv:2607. 11377v1 Announce Type: cross Abstract: Long-term physical coexistence with intelligent robots requires more than capable robot policies.
arXiv AI
Jun 15
Low-Burden LLM-Based Preference Learning: Personalizing Assistive Robots from Natural Language Feedback for Users with Paralysis
arXiv:2604. 01463v2 Announce Type: replace-cross Abstract: Physically Assistive Robots require personalized behaviors to ensure user safety and comfort.
arXiv Computer Vision
Sep 18
AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalization
The paper surveys the evolution of smart glasses into AI smart glasses, framing them as wearable intelligence platforms that integrate egocentric sensing, resource-aware computing, intelligent reasoning, multimodal interaction, and real-world constraints for personalized assistance. It organizes the discussion into four dimensions: hardware foundations, wearable intelligence, interaction design, and application scenarios across healthcare, accessibility, learning, daily life, tourism, and industry. The authors identify five cross-cutting research challenges—next-generation hardware, trustworthy egocentric intelligence, lifelong personalized memory, proactive intelligence, and embodied foundation models—to guide future work.
arXiv AI
Aug 12
ComBodied Agents: a New Paradigm of Human-Centric Agentic AI
arXiv:2608. 10915v1 Announce Type: new Abstract: After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication.
arXiv AI
Oct 31
Making Smart Homes Fit for Autistic Children: Family Work and Monitored Independence
The article examines how general-purpose smart‑home technologies affect autistic children and their families, using qualitative data from caregiver interviews and social media posts. It finds that families adapt technology outputs, prompts, and interaction channels to support their children, but sensory intensity, communication rules, and opaque operating states can also create barriers. The study highlights the ongoing family work required—translation, configuration, modification, maintenance, and boundary‑setting—and discusses how remote monitoring can provide conditional independence while raising tensions around safety, privacy, and control.
arXiv Computer Vision
Oct 9
LIVIN: Benchmarking Spatial and Embodied Intelligence in Digital Twins of Lived-In Homes
LIVIN is a new benchmark that evaluates spatial and embodied intelligence using digital twins of 30 diverse lived‑in homes. The replicas preserve real room layouts, furniture configurations, and everyday belongings, created through a human‑in‑the‑loop workflow of instance recognition, architectural reconstruction, and object placement. Four tasks—3D detection, 3D reconstruction, navigation, and loco‑manipulation—demonstrate that current methods struggle with dense object arrangements, occlusions, limited free space, and constrained interaction regions typical of realistic homes.
arXiv AI
Sep 7
ElderBench: Benchmarking Autonomous Mobile Agents for Older Adults
ElderBench is a new benchmark designed to evaluate autonomous mobile agents in scenarios that reflect the natural language patterns of older adults. It comprises 249 smartphone tasks collected from older users across 20 applications, highlighting linguistic differences such as indirect speech, referential ambiguity, and under-specified requests compared to existing GUI benchmarks. The study shows that mainstream GUI agents and Vision‑Language Models perform significantly worse on these elderly‑oriented instructions, and it offers insights into how specific language patterns lead to failures.