Time-Enabled Motion Planning introduces a formal framework for finding collision-free paths when objects must move with speed limits in environments with moving obstacles.
Learn how adding time transforms static planning into a dynamic problem with new challenges and solutions. This work explains how to model configurations as pairs of time and position, define feasible motions, and use time-configuration space to ensure safety. It presents algorithms based on a visibility graph and other geometric structures, along with preprocessing and query strategies to handle fast decisions in complex environments.
- How time is incorporated into configuration spaces and why it matters for real-world motion planning.
- Algorithms to determine if a path exists that respects speed limits and avoids moving obstacles.
- Planar maps and sweep-line techniques used to compute and query safe motions.
- Applications, generalizations, and open problems in time-aware planning.
Ideal for readers who want a rigorous, practical approach to motion planning in dynamic environments, from graduate students to researchers and engineers.