Probabilistic robotics

20027,971 citationsJournal Article

Authors

Sebastian Thrun · Carnegie Mellon University

Abstract

Planning and navigation algorithms exploit statistics gleaned from uncertain, imperfect real-world environments to guide robots toward their goals and around obstacles.

Topics & Keywords

Robotic Path Planning Algorithms AI-based Problem Solving and Planning Robotics and Sensor-Based Localization

UN Sustainable Development Goals

Climate action

Publication Details

Published in: Communications of the ACM

Volume 45, Issue 3, pp. 52-57

DOI: 10.1145/504729.504754

Field-Weighted Citation Impact: 4.45