Results 201 to 210 of about 76,023 (254)

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

open access: yesAdvanced Robotics Research, EarlyView.
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

Explainable artificial intelligence in orthopedic surgery

open access: yesJournal of Experimental Orthopaedics
Felix C. Oettl   +2 more
doaj   +1 more source

Explainable Artificial Intelligence in the Field of Drug Research. [PDF]

open access: yesDrug Des Devel Ther
Ding Q   +7 more
europepmc   +1 more source

Molecular Appendix Adjusted Architectural Propagations of Red‐Light Controlled Macroscopic Photoactuating Performances

open access: yesAdvanced Robotics Research, EarlyView.
Amphiphilic chloroazobenzenes, bearing different amino acids as end groups alanine, phenylalanine, and valine, exhibit excellent photoisomerizations. Varying structures of three amino acid groups participate in supramolecular formations and therefore photoinduced morphological transformations via adjusting intermolecular interactions. These interaction
Shuangshuang Meng   +3 more
wiley   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Enhanced intrusion detection in cybersecurity through dimensionality reduction and explainable artificial intelligence. [PDF]

open access: yesSci Rep
Alamro H   +7 more
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
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

Eye-XAI: an explainable artificial intelligence approach for eye disease detection using symptom analysis. [PDF]

open access: yesBMC Med Inform Decis Mak
Marouf AA   +5 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy