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Constraints help enforce rules at the database level, preventing the entry of invalid data and ensuring data accuracy and reliability. Implementing various types of constraints such as primary key, foreign key, unique, not null, check, and default constraints is crucial for upholding data quality.
Motion planning is the process of devising an optimal route from a starting point to a destination, while skirting around obstacles and abiding by a set of constraints.
As originally defined in artificial intelligence, constraints enumerate the possible values a set of variables may take in a given world. A possible world is a total assignment of values to variables representing a way the world (real or imaginary) could be.
Path planning is the most important issue in vehicle navigation. It is defined as finding a geometrical path from the current location of the vehicle to a target location such that it avoids obstacles.
Path planning helps robots map out a path as straight as possible from point A to B while avoiding obstacles instead of leaving it meandering in circles. Motion planning establishes the exact actions a robot must execute to follow a predetermined path and reach its goal.
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They are like extra rules added to the systems natural behavior, guiding it towards a desired outcome. Artificial constraints are typically defined along the tangents and normals of the constraint surface. This means they can control both position and force within the system.
The difference is specificity. A path is specific - its the actual line. Imagine youre getting directions and someone draws lines on a map to follow. A route is the conceptual way youre going.

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