Results 91 to 100 of about 2,902,077 (302)

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
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

Conditional Density Kernel Estimation Under Random Censorship for Functional Weak Dependence Data

Journal of Mathematics
The primary objective of this research is to investigate the asymptotic properties of the conditional density nonparametric estimator. The main areas of focus are the estimator’s consistency (with rates), including those involving censored data and quasi-
Hamza Daoudi, Abderrahmane Belguerna, Zouaoui Chikr Elmezouar, Fatimah Alshahrani   +3 more
doaj   +1 more source

Conditional Density Estimation with Histogram Trees

Advances in Neural Information Processing Systems 37
Accepted to Neurips ...
Yang, L., Leeuwen, M. van
openaire   +5 more sources

Conditional density estimation: an application to the Ecuadorian manufacturing sector [PDF]

This note applies conditional density estimation as a visual method to present results. The proposed method is illustrated by application to a firm-level manufacturing data set from Ecuador in 2002.Density ...
Kim Huynh, David Jacho-Chavez
core  

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

ON THE STATIONARY PROBABILITY DENSITY FUNCTION OF BILINEAR TIME SERIES MODELS: A NUMERICAL APPROACH [PDF]

Journal of Sciences, Islamic Republic of Iran, 1996
In this paper, we show that the Chapman-Kolmogorov formula could be used as a recursive formula for computing the m-step-ahead conditional density of a Markov bilinear model.
doaj  

Nonparametric Autoregressive Copula Forecasting via Boundary-Reflected Kernel Estimation

Econometrics
We propose a fully nonparametric empirical autoregressive copula framework for univariate time series, designed to capture nonlinear and asymmetric serial dependence while exactly preserving the empirical marginal distribution.
Guilherme Colombo Soares, Márcio Poletti Laurini   +1 more
doaj   +1 more source

Nonparametric Estimation and Symmetry Tests for Conditional Density Functions. [PDF]

We suggest two new methods for conditional density estimation. The first is based on locally fitting a log-linear model, and is in the spirit of recent work on locally parametric techniques in density estimation.
Hyndman, R.J., Yao, Q.
core  

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

Parametric Conditional Monte Carlo Density Estimation [PDF]

In applied density estimation problems, one often has data not only on the target variable, but also on a collection of covariates. In this paper, we study a density estimator that incorporates this additional information by combining parametric ...
John Stachurski, Yin Liao
core