Category
page 1Robot control
Kalman filter
algorithm that estimates unknowns from a series of measurements over time

telerobotics
thumb|right|300px|Justus security robot patrolling in Kraków

odometry
thumb|Five digit odometer of a Citroën Acadiane, 1986
Odometry is the use of data from motion sensors to estimate change in position over time. It is used in robotics by some legged or wheeled robots to estimate their position relative to a starting location. This method is sensitive to errors due to the integration of velocity measurements over time to give position estimates. Rapid and accurate data collection, instrument calibration, and processing are required in most cases for odometry to be used effectively.
particle filter
type of Monte Carlo algorithms for signal processing and statistical inference
D*
D* (pronounced "D star") is any one of the following three related incremental search algorithms:
Denavit–Hartenberg parameters
coordinate parameters for spatial linkages, including robot manipulators
guidance, navigation and control
branch of engineering dealing with the design of systems to control the movement of vehicles
robot learning
machine learning for robots
extended Kalman filter
filter for nonlinear state estimation which linearizes about an estimate of the current mean and covariance
robot control
system that contributes to the movement of a robot
visibility graph
graph of intervisible locations in computational geometry
Chebychev–Grübler–Kutzbach criterion
equation which determines the degree of freedom of a kinematic chain
Zero moment point
Concept in legged locomotion
robot locomotion
collective name for the various methods that robots use to transport themselves from place to place
behavior tree
control method
Developmental robotics
field of scientific study