May 1, 2024
Updated May 11, 2025
19 minute read
Path planning, at its core, is about finding an optimal route from a starting point to a destination while adhering to certain rules and avoiding obstacles. Think of it as the sophisticated older sibling of drawing a line between two dots. It's a fundamental problem in computer science and robotics that involves more than just the shortest distance; it often considers factors like time, energy consumption, safety, and the specific capabilities of the entity that needs to move. This field sits at the intersection of algorithms, geometry, and control theory, making it a fascinating area of study and application.
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Find a path to becoming a Path Planning. Learn more at:
OpenCourser.com/topic/wi39fs/path
Reading list
We've selected four books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Path Planning.
By one of the pioneers of the field, covers both theoretical foundations as well as extensively modern algorithms for motion planning.
Suitable for self-study and graduate or advanced undergraduate teaching in robot motion planning. Covers general motion-planning techniques from the planning algorithms perspective.
Provides an introduction to probabilistic approaches for robotics and covers motion planning, but focuses primarily on modeling robot uncertainties.
Describes geometric techniques for modeling and planning robot motions. Suitable for researchers and graduate students.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/wi39fs/path