A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Emotional Valence, Interdependence, and Job Autonomy as Predictors of Creativity Through Perspective-Taking: An Integrative Model. [PDF]
Han K, Kim YJ.
europepmc +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
The Perception of Labor Control and Employee Overtime Behavior in China: The Mediating Role of Job Autonomy and the Moderating Role of Occupational Value. [PDF]
Dong W, Wang Y, Zhao T.
europepmc +1 more source
Leader Behavioral Integrity and Employee In-Role Performance: The Roles of Coworker Support and Job Autonomy. [PDF]
Choi Y, Yoon DJ, Kim D.
europepmc +1 more source
Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li +4 more
wiley +1 more source
Managing Resilience and Exhaustion Among Health Care Workers Through Psychological Self-Care: The Impact of Job Autonomy in Interaction With Role Overload. [PDF]
Maisonneuve F +5 more
europepmc +1 more source
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
Decision-making autonomy in educational institutions has been consistently associated with professional satisfaction, organizational justice, leadership, and the quality of educational outcomes.
Liliana AIOANEI
doaj
The effects of psychological capital, work engagement and job autonomy on job performance in platform flexible employees. [PDF]
Liu J, Xu R, Wang Z.
europepmc +1 more source

