Results 51 to 60 of about 66,452 (307)
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Inference in conditional probability logic [PDF]
summary:An important field of probability logic is the investigation of inference rules that propagate point probabilities or, more generally, interval probabilities from premises to conclusions.
Kleiter, Gernot D. +6 more
core +1 more source
Optimal PD Control Using Conditional GAN and Bayesian Inference
PD control is a widely used model-free method; however, it often falls short of guaranteeing optimal performance. Optimal model-based control, such as the Linear Quadratic Regulator (LQR), can indeed achieve the desired control performance, but only for ...
Ivan Hernandez, Wen Yu, Xiaoou Li
doaj +1 more source
BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R
This document introduces the R package BGVAR to estimate Bayesian global vector autoregressions (GVAR) with shrinkage priors and stochastic volatility. The Bayesian treatment of GVARs allows to include large information sets by mitigating issues related
Maximilian Boeck +2 more
doaj +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Strategies for Using a Spatial Method to Promote Active Learning of Probability Concepts
We developed and tested strategies for using spatial representations to help students understand core probability concepts, including the multiplication rule for computing a joint probability from a marginal and conditional probability, interpreting an ...
Jeffrey J. Starns +3 more
doaj +1 more source
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu +13 more
wiley +1 more source
ABSTRACT Accumulating evidence suggests that the intestinal microbiota participates in the progression of metabolic dysfunction‐associated steatotic liver disease (MASLD) through microbiota‐host interaction. However, the beneficial role of commensal mycobiota in MASLD progression remains poorly understood.
Shuping Qiao +11 more
wiley +1 more source
ABSTRACT Genome‐wide association studies (GWAS) link the Tropomyosin 1 (Tpm1) locus to quantitative blood trait variation, but related mechanisms are unclear. Tpm1 encodes an actin‐binding protein that regulates actin filament diversity, cell adhesion, signaling, and actomyosin contractility.
Po‐Lun Kung +19 more
wiley +1 more source
Fuzzy Conditional Inference and Application to Wireless Sensor Network
Zadeh, Mamdani, and TSK were proposed different fuzzy conditional inference for 201C;if 2026; then 2026; 201C;to approximate incomplete information. The Zadeh and Mamdani fuzzy conditional inferences require prior information for the consequent part. The
Poli Venkata Subba Reddy
core

