Hybrid Monte Carlo

An improved Monte Carlo method based on Gaussian growth to calculate the workspace of robots

Adrián Peidró, Óscar Reinoso, Arturo Gil, José María Marín, Luis Payá

Citations: 78 • 2017

Monte Carlo localization for mobile robot using adaptive particle merging and splitting technique

Tiancheng Li, Shudong Sun, Jun Duan

Citations: 22 • 2010

Monte Carlo Filtering Using Kernel Embedding of Distributions

Motonobu Kanagawa, Yu Nishiyama, Arthur Gretton, Kenji Fukumizu

Citations: 12 • 2014

Control Functionals for Quasi-Monte Carlo Integration

Chris J. Oates, Mark Girolami

Citations: 10 • 2016

Markov Chain Monte Carlo (MCMC) methods for parameter estimation of a novel hybrid redundant robot

Yongbo Wang, Huapeng Wu, Heikki Handroos

Citations: 9 • 2011

Control Functionals for Quasi-Monte Carlo Integration

Chris J. Oates, Mark Girolami

Citations: 7 • 2015

Vision-based extended Monte Carlo localization for mobile robot

Xudong Ma, Xianzhong Dai, Wen Shang

Citations: 6 • 2006

Accelerating Quasi-Monte Carlo in Reproducing Kernel Hilbert Spaces

Chris J. Oates, Mark Girolami

Citations: 6 • 2015

Bayesian Model Comparison by Monte Carlo Chaining

David Barber, Chris Bishop

Citations: 5 • 1996

Hardware Acceleration of Monte-Carlo Sampling for Energy Efficient Robust Robot Manipulation

Yanqi Liu, Giuseppe Calderoni, R. Iris Bahar

Citations: 4 • 2020

Improving Actor-Critic Reinforcement Learning Via Hamiltonian Monte Carlo Method

Duo Xu, Faramarz Fekri

Citations: 4 • 2022

Indirect Force Measurement via Hamiltonian Monte Carlo-Based Probabilistic Model of FSR Sensor

Bharat Singh, Rajesh Kumar, Varsha Jakhar

Citations: 3 • 2023

Application and Implementation of Monte Carlo Method in Mechanical Engineering

Guo Qiang Chen, Jun Wei Zhao

Citations: 3 • 2010

Quasi Monte Carlo localization for mobile robots

Bingbing Liu, Xi Zheng, Xiaojun Wu, Yiguang Liu

Citations: 3 • 2012

Incorporating qualitative information into quantitative estimation via Sequentially Constrained Hamiltonian Monte Carlo sampling

Daqing Yi, Shushman Choudhury, Siddhartha S Srinivasa

Citations: 2 • 2017