A review of parallel processing approaches to motion planning
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Title: A Review of Parallel Processing Approaches to Motion Planning

Section 1: Introduction
Description 1: This section introduces the importance of motion planning in autonomous systems and the significance of using parallel processing to reduce planning time.

Section 2: Motion Planning Approaches
Description 2: This section classifies and overviews different sequential motion planning approaches and introduces terminology for parallel approaches.

Section 3: Graph-based Approaches
Description 3: This section discusses parallel algorithms based on irregular skeletons and object-dependent cell decompositions, including specific methods and their implementations.

Section 4: Grid-based Approaches
Description 4: This section examines parallel approaches based on regular grid networks and object-independent cell decompositions, including specific methods and their results.

Section 5: Potential Field Approaches
Description 5: This section describes the parallel implementation of potential field methods for motion planning, focusing on wavefront expansion and relaxation techniques.

Section 6: Mathematical Programming
Description 6: This section explores mathematical programming approaches to motion planning, including the use of neural networks and parallel optimization methods.

Section 7: Summary and Future Work
Description 7: This section summarizes the findings of the paper and suggests areas for future research, such as incorporating more complex geometry, dynamic obstacles, and new genetic algorithms for grid-based methods.