Robots that can move autonomously and can make intelligent decisions by perceiving their environments and surrounding objects are known as autonomous mobile robots. Such …
Abstract The Robot Operating System 2 (ROS 2) is rapidly impacting the intelligent machines sector—on space missions, large agriculture equipment, multi-robot fleets, and …
S Tabandeh, J Zuhars, DP Bonny, P Timothy… - US Patent …, 2020 - Google Patents
US10864050B2 - Method and system for guiding user positioning of a robot - Google Patents US10864050B2 - Method and system for guiding user positioning of a robot …
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions. Most tasks …
MG Mohanan, A Salgoankar - Robotics and Autonomous Systems, 2018 - Elsevier
Abstract Robot Motion Planning (RMP) has been a thrust area of research in computing due to its complexity, since RMP in dynamic environments for a point robot with bounded velocity …
Indoor localization is essential for healthcare, security, augmented reality gaming, and many other location-based services. There is currently a wealth of relevant literature on indoor …
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilistic localization algorithms known as Monte Carlo …
This article provides a comprehensive introduction into the field of robotic mapping, with a focus on indoor mapping. It describes and compares various probabilistic techniques, as …
U Von Toussaint - Reviews of Modern Physics, 2011 - APS
Bayesian inference provides a consistent method for the extraction of information from physics experiments even in ill-conditioned circumstances. The approach provides a unified …