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Simultaneous Localization And Mapping
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Summary
Simultaneous Localization And Mapping
(SLAM) is a
Computational problem
where a robot or
Autonomous vehicle
creates a
Map of an unknown environment
while simultaneously
Keeping track of its own location
within that environment. It is crucial for
Navigation in robotics
and
Autonomous Systems
, enabling them to operate in dynamic and
Previously unexplored settings
without relying on
External references
like GPS.
Concepts
Kalman Filter
Particle Filter
Extended Kalman Filter
Graph-based SLAM
Loop Closure
Odometry
Sensor Fusion
Probabilistic Robotics
Bayesian Inference
Map Representation
Robotics Navigation
Localization Algorithms
Robotic Navigation
Camera Pose
Machine Learning For Robotics
Robotics Path Planning
Relevant Degrees
Programming and Computer Programs 60%
Artificial Intelligence Systems 40%
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