This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Fear of falling in older adults
THESIS 10765The principle aim of this doctoral investigation was to provide new insights into the prevalence, risk factors and negative associations of fear of falling (FOF) by examining these factors in a population sample of older ...
Cronin, Hilary Mary
core
Fear of Falling and Its Association with Lower Limb Strength and Balance Control in Elderly Day-Care Center Users. [PDF]
Oh JS, Kim SG.
europepmc +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Prevalence of fall risk and fear of falling among older adults in the Middle East and North Africa: a systematic review and meta-analysis. [PDF]
Chaabna K +5 more
europepmc +1 more source
3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun +3 more
wiley +1 more source
Serum Neurofilament Light Chain in Diabetic Polyneuropathy: Associations with Neuropathy Burden, Balance Impairment, and Fear of Falling. [PDF]
Karakuzu Güngör Z +3 more
europepmc +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Is Fear of Falling Really Fear of the Consequences? [PDF]
openaire +1 more source

