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Design of a Pick-and-Place Robot With Computer Vision and Optimized Sorting Algorithms.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Design of a Pick-and-Place Robot With Computer Vision and Optimized Sorting Algorithms./
作者:	Kilula, Dan.
面頁冊數:	1 online resource (106 pages)
附註:	Source: Masters Abstracts International, Volume: 85-12.
Contained By:	Masters Abstracts International85-12.
標題:	Robotics. -
電子資源:	click for full text (PQDT)
ISBN:	9798383165911

Design of a Pick-and-Place Robot With Computer Vision and Optimized Sorting Algorithms.
Kilula, Dan.

Design of a Pick-and-Place Robot With Computer Vision and Optimized Sorting Algorithms. - 1 online resource (106 pages)

Source: Masters Abstracts International, Volume: 85-12.

Thesis (M.S.)--Arkansas State University, 2024.

Includes bibliographical references

In computer science, the Multiple Travelling Salesman Problem (mTSP) is a special case of Travelling Salesmen where one salesman travels through a network of cities (end nodes) and goes back to the starting city (start node) rather than stopping at the targeted end node. Numerous search and optimization algorithms are used to find the most time-efficient path for the salesman to visit each node. In this work 3 optimization methods and algorithms such as linear programming and A* pathfinding are utilized and compared to solve the mTSP applied to a 3 degrees-of-freedom pick-and-place robot that uses computer vision to detect and sort objects on a 2D workspace. Simulation results suggest that the A* pathfinding algorithm, which is a special case of dynamic programming, will most of the time provide better performance compared to other optimization methods such as divide and conquer or linear programming.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798383165911Subjects--Topical Terms:

561941
Robotics.
Subjects--Index Terms:

A* pathfinding algorithmIndex Terms--Genre/Form:

554714
Electronic books.

Design of a Pick-and-Place Robot With Computer Vision and Optimized Sorting Algorithms.
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