Results 181 to 190 of about 1,283,410 (305)

Myoelectric Origami‐Based Soft Robotic Knee Exoskeleton to Enhance Sit‐to‐Stand Assistance in Elderly Populations

Advanced Intelligent Systems, EarlyView.
This work presents a lightweight Miura‐origami soft knee exoskeleton powered by vacuum actuation and integrated with a multimodal physiological intent‐recognition system, providing real‐time assistance during sit‐to‐stand movement to reduce muscle effort and improve user comfort.
Yuchuan Jia, Xingjian Ye, Xuanyi Zhou, Yong Ling, Daniela Rus, Chen‐Hua Yeow   +5 more
wiley   +1 more source

Reflecting Emotional Intelligence: How Mindsets Navigate Academic Engagement and Burnout Among College Students. [PDF]

Behav Sci (Basel)
Jiang Y, Zhang J, Zheng W, Guo G, Yang W.   +4 more
europepmc   +1 more source

Employee Goal Orientation in Relation to Creative Performance [PDF]

, 2010
Borlongan-Conway, M. D, Da Silva, Nancy, Tokunaga, H.   +2 more
core   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Different But Complementary Motor Functions Reveal an Asymmetric Recalibration of Upper Limb Bimanual Coordination. [PDF]

eNeuro
Kanapskyte A, Garcia Arango JA, Joshi S, Robinson SK, Schofield JS, Miller LM, Joiner WM, Zhou W.   +7 more
europepmc   +1 more source

Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems

Advanced Intelligent Systems, EarlyView.
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley   +1 more source

Affordances of Multidisciplinary Team Meetings as Team-Learning Activity: A Constraints-Led Approach for Continuous Health Profession Education. [PDF]

Perspect Med Educ
van Klaveren LM, Nordbeck PC, Homan W, Peerdeman S, van der Burgt S.   +4 more
europepmc   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

Learning motivation among international students: the role of demographic factors. [PDF]

BMC Psychol
Chuang TF, Lin MH, Wu TC, Chuang MD.
europepmc   +1 more source

A Conceptual Model of Learning Agility and Authentic Leadership Development: Moderating Effects of Learning Goal Orientation and Organizational Culture

, 2017
Nidhi Yadav, S. Dixit
semanticscholar   +1 more source