Families with young children during the COVID-19 pandemic-The importance of family type, perceived partnership roles, parental stress, and social support for changes in the home learning environment during lockdown. [PDF]
Prokupek L +3 more
europepmc +1 more source
Vision‐Assisted Avocado Harvesting with Aerial Bimanual Manipulation
This work outlines the design and implementation of a bimanual aerial robot that employs visual perception and learning to detect, reach, and harvest avocados. A new gripper and fixer arm assembly is used to harvest avocados, while visual perception enables the detection of avocados and estimation of their position and orientation for determining ...
Zhichao Liu +3 more
wiley +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
An introduction for multidrive and environment‐adaptive micro/nanorobotics: design and fabrication strategies, intelligent actuation, and their applications. Various intelligent actuation approaches—magnetic, acoustic, optical, chemical, and biological—can be synergistically designed to enhance flexibility and adaptive behavior for precision medicine ...
Aiqing Ma +10 more
wiley +1 more source
Conducting home visits procedures [PDF]
This procedural guideline must be read in conjunction with Partnerships in Learning Policy Driver (Doc ID: TASED-4-1398), Home Visit Safety Checklist (below), Worker Safety Guidelines (Doc ID: TASED-4-1219), Support for Early Years Home Visits (Doc ID ...
core
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Learning Situation Models in a Smart Home [PDF]
International audienceThis article addresses the problem of learning situation models for providing context-aware services. Context for modeling human behavior in a smart envi- ronment is represented by a situation model describing environment, users and
Brdiczka, Oliver +2 more
core +3 more sources
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Relationships Between the Home Learning Environment, Weight Status, and Dietary Intake: Results From a Cross-Sectional Study of Preschool-Aged Children in New South Wales, Australia. [PDF]
Hammersley ML, Jones RA, Okely AD.
europepmc +1 more source
Evaluating Machine Learning Techniques For Activity Classification In Smart Home Environments
With the widespread adoption of the Internet-connected devices, and with the prevalence of the Internet of Things (IoT) applications, there is an increased interest in machine learning techniques that can provide useful and interesting services in the smart home domain.
SEDKY, Mohamed +3 more
openaire +1 more source

