Collision‐Resilient Winged Drones Enabled by Tensegrity Structures
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui +5 more
wiley +1 more source
Persona pedagogica in crisis: are educators becoming data custodians in the age of AI? [PDF]
Ambady A, K V T.
europepmc +1 more source
Optimisation of complex product innovation processes based on trend models with three-valued logic
Nina Bočková +2 more
openalex +1 more source
Liquid Metal Sensors for Soft Robots
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source
Postfeminist Healthism: Understanding the Gendering of Healthism Using Menstrual Tracking Apps as an Example. [PDF]
Riley S, Evans A, Robson M.
europepmc +1 more source
Auto‐Routing Fluidic Printed Circuit Boards
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre +3 more
wiley +1 more source
Elevating lived experience in overdose prevention: a community case study of Arizona's overdose data to action community advisory board. [PDF]
Celaya MF, Wadhera D, Wilcox K, Orso D.
europepmc +1 more source
Three-Mode Upside-Down Logic Within Plithogenic Double-Valued and Triple-Valued Neutrosophic Sets
Takaaki Fujita
openalex +2 more sources
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

