University of Pretoria
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The initial data and results of conceptual design, analysis and evaluation of a low-cost autonomous mobile robot for citrus farming in South Africa

dataset
posted on 2025-03-28, 14:10 authored by Philip SmitPhilip Smit

This dataset expands on how the final design of a holistic conceptual design of an autonomous mobile robot (AMR) was determined through filtering through the initial technological options that were evaluated to develop an AMR.

Phase 2.4: Design concepts, equipment cost versus accessibility graphs, and the cost of the various technologies that were evaluated as stated with a determined value at the time and an accessibility score. This was used to determine the top 3, 4, or 5 candidate solutions per component that could perform that specific task at hand.

Phase 2.4: Hardware design concept determinations and personnel cost as a function of design expands on the average cost of each determined AMR hardware design option with corresponding values that were the average of the 2.4 's top technological options.


Phase 3.3a: Candidate concept selection criteria determines the best option according to various criteria as specified herein to determine the final component candidate solution


Phase 3.3b: Final candidate concept selection cost structuring provides the final cost structuring of the final chosen component option derived in 3.3a along with how the total cost of development (xi) was determined.


History

Department/Unit

Industrial and Systems Engineering

Sustainable Development Goals

  • 17 Partnerships for the Goals
  • 9 Industry, Innovation and Infrastructure
  • 10 Reduced Inequalities