Random variable
相关论文数: 20
顶级研究者
最高引用论文
Planning in the continuous domain: A generalized belief space approach for autonomous navigation in unknown environments
Vadim Indelman, Luca Carlone, Frank Dellaert
引用数: 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
引用数: 144 • 2014
A Moment Approach to Positioning Accuracy Reliability Analysis for Industrial Robots
Jinhui Wu, Dequan Zhang, Jie Liu, Xu Han
引用数: 128 • 2019
Deterministic sampling-based motion planning: Optimality, complexity, and performance
Lucas Janson, Brian Ichter, Marco Pavone
引用数: 107 • 2017
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance
Lucas Janson, Brian Ichter, Marco Pavone
引用数: 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
引用数: 43 • 2023
A method to determine kinematic accuracy reliability of gear mechanisms with truncated random variables
Xianzhen Huang, Sen Hu, Yimin Zhang, Yichuan Xu
引用数: 27 • 2015
Lifted Relational Kalman Filtering
Jaesik Choi, Abner Guzman-Rivera, Eyal Amir
引用数: 26 • 2013
A stochastic model for the analysis of a two-machine flexible manufacturing cell
Majid M. Aldaihani, Mehmet Savsar
引用数: 24 • 2005
Safe and Efficient Dynamic Window Approach for Differential Mobile Robots With Stochastic Dynamics Using Deterministic Sampling
Shinya Yasuda, Taichi Kumagai, Hiroshi Yoshida
引用数: 23 • 2023
Unified mixture-model based terrain estimation with Markov Random Fields
Rina Tse, Nisar Ahmed, Mark Campbell
引用数: 21 • 2012
Planning under uncertainty in the continuous domain: A generalized belief space approach
Vadim Indelman, Luca Carlone, Frank Dellaert
引用数: 20 • 2014
Deep Ensemble Reinforcement Learning with Multiple Deep Deterministic Policy Gradient Algorithm
Junta Wu, Huiyun Li
引用数: 19 • 2020
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning
Shangtong Zhang, Bo Liu, Shimon Whiteson
引用数: 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
引用数: 17 • 2013
Maximum diffusion reinforcement learning
Thomas A. Berrueta, Allison Pinosky, Todd D. Murphey
引用数: 17 • 2024
Networked Estimation of a Class of Fuzzy Stochastic Hybrid Systems With Variable Rates of Packet Losses
Lin Zhang, Gang Li
引用数: 16 • 2018
Three-Dimensional Statistical Gas Distribution Mapping in an Uncontrolled Indoor Environment
Matteo Reggente, Achim J. Lilienthal, Matteo Pardo, Giorgio Sberveglieri
引用数: 16 • 2009
Gaussian processes with input-dependent noise variance for wireless signal strength-based localization
Renato Miyagusuku, Atsushi Yamashita, Hajime Asama
引用数: 14 • 2015
Scalable fusion with mixture distributions in sensor networks
Keh‐Chin Chang, Wei Sun
引用数: 14 • 2010