Probability distribution

Probabilistic robot navigation in partially observable environments

Reid Simmons, Sven Koenig

Citations: 488 • 1995

A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control

Lars Blackmore, Masahiro Ono, Askar Bektassov, Brian Williams

Citations: 342 • 2010

Uncertainty analysis of planar and spatial robots with joint clearances

Jianmin Zhu, Kwun-Lon Ting

Citations: 125 • 2000

Modeling and Optimal Centralized Control of a Large-Size Robotic Population

Dejan Milutinović, Pedro U. Lima

Citations: 82 • 2006

Robust global localization using clustered particle filtering

Adam B. Milstein, Javier Sánchez, Evan Tang Williamson

Citations: 80 • 2002

Learning to predict trajectories of cooperatively navigating agents

Henrik Kretzschmar, Markus Kuderer, Wolfram Burgard

Citations: 79 • 2014

A probabilistic language based upon sampling functions

Sungwoo Park, Frank Pfenning, Sebastian Thrun

Citations: 75 • 2005

Assessing optimal assignment under uncertainty: An interval-based algorithm

Lantao Liu, Dylan A. Shell

Citations: 67 • 2011

Discrete and Continuous, Probabilistic Anticipation for Autonomous Robots in Urban Environments

Frank Havlak, Mark Campbell

Citations: 64 • 2014

Data-Efficient Domain Randomization With Bayesian Optimization

Citations: 58 • 2021

A Probabilistic Framework for Robust and Accurate Matching of Point Clouds

Peter Biber, Sven Fleck, Wolfgang Straßer

Citations: 54 • 2004

Wasserstein Distributionally Robust Motion Control for Collision Avoidance Using Conditional Value-at-Risk

Astghik Hakobyan, Insoon Yang

Citations: 53 • 2021

Using multiple Gaussian hypotheses to represent probability distributions for mobile robot localization

D.J. Austin, Patric Jensfelt

Citations: 53 • 2002

Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning

Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron

Citations: 52 • 1995

Multi-level spatial modeling for stochastic distributed robotic systems

Amanda Prorok, Nikolaus Correll, Alcherio Martinoli

Citations: 51 • 2011

A probabilistic language based on sampling functions

Sungwoo Park, Frank Pfenning, Sebastian Thrun

Citations: 49 • 2008

Neural networks and differential dynamic programming for reinforcement learning problems

Akihiko Yamaguchi, Christopher G. Atkeson

Citations: 47 • 2016

Bayesian Local Sampling-Based Planning

Tin Lai, Philippe Morere, Fábio Ramos, Gilad Francis

Citations: 43 • 2020

Application of probability to enhance the performance of fuzzy based mobile robot navigation

B. K. Patle, Dayal R. Parhi, A. Jagadeesh, Sunil Kumar Kashyap

Citations: 43 • 2018

Distributionally Robust Sampling-Based Motion Planning Under Uncertainty

Tyler Summers

Citations: 42 • 2018