Noisy sensing, imperfect control, and environment changes are defining characteristics of
many real-world robot tasks. The partially observable Markov decision process (POMDP) …

There has been much discussion among academics on how pupils may be taught online
while yet maintaining a high degree of learning efficiency, in part because of the worldwide …

Wheelchair-mounted robotic manipulators have the potential to help the elderly and
individuals living with disabilities carry out their activities of daily living (ADLs) …

Background: Compensatory aids can help mitigate the impact of progressive cognitive
impairment on daily living. Objective: We evaluate whether the learning and sustained use …

Neuropsychologists are increasingly being asked to answer referral questions about how a
patient's compromised cognitive abilities will impact their everyday functioning, including …

Proper handwashing, having a crucial effect on reducing bacteria, serves as the cornerstone
of hand hygiene. For elders with dementia, they suffer from a gradual loss of memory and …

For human gesture recognition task, recent fully supervised deep learning models have
achieved impressive performance when sufficient samples of predefined gesture classes …

In mathematical psychology, decision makers are modeled using the Lindbladian equations
from quantum mechanics to capture important human-centric features such as order effects …

The field of Human-Robot Collaboration (HRC) has seen a considerable amount of progress
in recent years. Thanks in part to advances in control and perception algorithms, robots have …

Background Breastfeeding practice is still not optimum in Bangladesh. Understanding
barriers to breastfeeding is needed to prevent harmful practices. This study aimed to …