Results 141 to 150 of about 2,007,432 (328)
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
This study investigated how different types of feedback influence emotional reactions in decision-making tasks involving high-confidence errors. The sample consisted of 596 undergraduate and postgraduate university students.
Katerina Nerantzaki +2 more
doaj +1 more source
Maxime 7 : Que l’Eglise romaine apporte la confusion dedans ses Estats
openalex +1 more source
The Overlap of Confusion: Self and Dreams in Maya Deren’s Experimental Film
Lingyao Ma
openalex +2 more sources
Fold Walker: An Origami‐Inspired Quadruped Robot for Multipattern Locomotion and Object Grasping
This article presents Fold Walker, an origami‐inspired quadruped robot capable of multipattern locomotion and object grasping. With each leg featuring two rotational folds, the robot can transform from a flat 2D configuration into complex 3D poses. Furthermore, its trunk and legs can be one‐shot 3D printed as a unified structure, greatly simplifying ...
Yilun Sun
wiley +1 more source
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang +5 more
wiley +1 more source
TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince +3 more
wiley +1 more source
Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley +1 more source

