Random variable

Planning in the continuous domain: A generalized belief space approach for autonomous navigation in unknown environments

Vadim Indelman, Luca Carlone, Frank Dellaert

Citations: 152 • 2015

Input—Output Approach to Control for Fuzzy Markov Jump Systems With Time-Varying Delays and Uncertain Packet Dropout Rate

Lixian Zhang, Zepeng Ning, Peng Shi

Citations: 144 • 2014

A Moment Approach to Positioning Accuracy Reliability Analysis for Industrial Robots

Jinhui Wu, Dequan Zhang, Jie Liu, Xu Han

Citations: 128 • 2019

Deterministic sampling-based motion planning: Optimality, complexity, and performance

Lucas Janson, Brian Ichter, Marco Pavone

Citations: 107 • 2017

Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance

Lucas Janson, Brian Ichter, Marco Pavone

Citations: 60 • 2017

Polynomial chaos expansion approximation for dimension-reduction model-based reliability analysis method and application to industrial robots

Jinhui Wu, Yourui Tao, Xu Han

Citations: 43 • 2023

A method to determine kinematic accuracy reliability of gear mechanisms with truncated random variables

Xianzhen Huang, Sen Hu, Yimin Zhang, Yichuan Xu

Citations: 27 • 2015

Lifted Relational Kalman Filtering

Jaesik Choi, Abner Guzman-Rivera, Eyal Amir

Citations: 26 • 2013

A stochastic model for the analysis of a two-machine flexible manufacturing cell

Majid M. Aldaihani, Mehmet Savsar

Citations: 24 • 2005

Safe and Efficient Dynamic Window Approach for Differential Mobile Robots With Stochastic Dynamics Using Deterministic Sampling

Shinya Yasuda, Taichi Kumagai, Hiroshi Yoshida

Citations: 23 • 2023

Unified mixture-model based terrain estimation with Markov Random Fields

Rina Tse, Nisar Ahmed, Mark Campbell

Citations: 21 • 2012

Planning under uncertainty in the continuous domain: A generalized belief space approach

Vadim Indelman, Luca Carlone, Frank Dellaert

Citations: 20 • 2014

Deep Ensemble Reinforcement Learning with Multiple Deep Deterministic Policy Gradient Algorithm

Junta Wu, Huiyun Li

Citations: 19 • 2020

Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning

Shangtong Zhang, Bo Liu, Shimon Whiteson

Citations: 18 • 2021

STATE-ACTION VALUE FUNCTION MODELED BY ELM IN REINFORCEMENT LEARNING FOR HOSE CONTROL PROBLEMS

José Manuel López-Guede, Borja Fernandez‐Gauna, Manuel Graña

Citations: 17 • 2013

Maximum diffusion reinforcement learning

Thomas A. Berrueta, Allison Pinosky, Todd D. Murphey

Citations: 17 • 2024

Networked Estimation of a Class of Fuzzy Stochastic Hybrid Systems With Variable Rates of Packet Losses

Lin Zhang, Gang Li

Citations: 16 • 2018

Three-Dimensional Statistical Gas Distribution Mapping in an Uncontrolled Indoor Environment

Matteo Reggente, Achim J. Lilienthal, Matteo Pardo, Giorgio Sberveglieri

Citations: 16 • 2009

Gaussian processes with input-dependent noise variance for wireless signal strength-based localization

Renato Miyagusuku, Atsushi Yamashita, Hajime Asama

Citations: 14 • 2015

Scalable fusion with mixture distributions in sensor networks

Keh‐Chin Chang, Wei Sun

Citations: 14 • 2010