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MAP estimators compute the most likely explanation of the robot poses and the map given the sensor data, rather than trying to estimate the entire posterior probability. New SLAM algorithms remain an active research area, [6] and are often driven by differing requirements and assumptions about the types of maps, sensors and models as detailed ...
Robotic mapping is a discipline related to computer vision [1] and cartography.The goal for an autonomous robot is to be able to construct (or use) a map (outdoor use) or floor plan (indoor use) and to localize itself and its recharging bases or beacons in it.
Occupancy Grid Mapping refers to a family of computer algorithms in probabilistic robotics for mobile robots which address the problem of generating maps from noisy and uncertain sensor measurement data, with the assumption that the robot pose is known. Occupancy grids were first proposed by H. Moravec and A. Elfes in 1985.
Consider a robot with an internal map of its environment. When the robot moves around, it needs to know where it is within this map. Determining its location and rotation (more generally, the pose) by using its sensor observations is known as robot localization.
Before a robot is able to navigate a map it needs a plan. [4] The plan is a trajectory from start to goal and describes, for each moment in time and each position in the map, the robot's next action. Path planning is solved by many different algorithms, which can be categorised as sampling-based and heuristics-based approaches.
RUR - Python Learning Environment (RUR-PLE) is an educational tool to help students learn the Python programming language. Made by André Roberge. RUR-PLE uses the idea behind Karel the Robot, making the learning of Python programming more interesting. A student writes a program that controls a 'robot' that moves through a city consisting of a ...
Robot navigation means the robot's ability to determine its own position in its frame of reference and then to plan a path towards some goal location. In order to navigate in its environment, the robot or any other mobility device requires representation, i.e. a map of the environment and the ability to interpret that representation.
Webots is a free and open-source 3D robot simulator used in industry, education and research.. The Webots project started in 1996, initially developed by Dr. Olivier Michel at the Swiss Federal Institute of Technology in Lausanne, Switzerland and then from 1998 by Cyberbotics Ltd. as a proprietary licensed software.