From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Climate Change and Health: A Study of the Attitudes of Future Science Teachers. [PDF]
Pérez-Mesa MR +2 more
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 relationship between teacher commitment, teacher self-efficacy, and work-related quality of life among science teachers. [PDF]
Bataineh OT +4 more
europepmc +1 more source
Science Teachers' Attitudes towards Computational Modeling in the Context of an Inquiry-Based Learning Module. [PDF]
Langbeheim E, Perl D, Yerushalmi E.
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
[Assessment of Dimensionality and Structural Stability of Pre-service Science Teachers' Ability to Engage in Reflections]. [PDF]
Furrer F +5 more
europepmc +1 more source
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Where Do We Start And Where Do We Go? Emerging Findings Informing the Design of Responsive Professional Learning With Secondary Science Teachers. [PDF]
Krist CS +8 more
europepmc +1 more source

