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--- bfs_and_dfs_implementation_v2 [2023/11/09 18:44] – [Motivation and Audience] fpalustre
+++ bfs_and_dfs_implementation_v2 [2023/11/13 09:56] (current) – fpalustre
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-====== BFS & DFS Implementation V2 (IN-PROGRSS) ======
+====== BFS & DFS Implementation (2023) (IN-PROGRSS) ======
 **Author:** Francis Palustre Email: <palusf1@unlv.nevada.edu>
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-**Date:** Last modified on <11/09/23>
+**Date:** Last modified on <11/13/23>
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 **Keywords:** Navigation, BFS, DFS, Robotino, cpp,
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-The photo above depicts <fill in the blank> which allows you to <fill in the blank>. The big picture problem is <fill in the blank>. Solving this partially or completely is important because <fill in the blank>. This tutorial shows you how to <fill in the blank> and takes approximately <fill in the blank> hours to complete.
+The photo above depicts the environment used for travel which allows you to visually see the intended path that should be taken for Robotino . The big picture problem is understanding the traversal process and how it came to be. Solving this partially or completely is important because this gives robots an autonomous navigation process, limiting human interference. This tutorial shows you how to apply BFS and DFS to Robotino and should take approximately 1-2 hour to complete.
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 ===== Motivation and Audience =====
-This tutorial's motivation is to find ways for robots to autonomously navigate their environments. Readers of this tutorial assumes the reader has the following background and interests:
+This tutorial's motivation is to find ways for robots to autonomously navigate within their environments. Readers of this tutorial assumes the reader has the following background and interests:
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-Speculating future work derived from this tutorial, includes <fill in the blank>. In the big picture, the problem of <fill in the blank> can be solved with this tutorial.
+Speculating future work derived from this tutorial, includes applying these and other algorithms such as Dijkstra and A* to Robotino and other robots. In the big picture, the problem of autonomous navigation can be solved with this tutorial.
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