AI-Enabled Robot Design:
Autonomous Size and Color Identification for Industrial Manufacturing
AI-Enabled Robot Design:
Autonomous Size and Color Identification for Industrial Manufacturing
School: Powdersville High School (Powdersville, SC)
Teaching Expertise: Fundamentals of Computing and Personal Finance
Summer Research Advisor: Prof. Bing Li, Automotive Engineering
Research Project Abstract: This study explores the development and implementation of an autonomous robot capable of identifying the size and color of objects in an industrial setting. They can vary significantly in size, functionality, mobility, agility, intelligence, and cost. From robotic process automation to flying vehicles with artificial intelligence. Autonomous robots can recognize and learn from their surroundings and make decisions independently. Manufacturing, final assembly, and warehousing, for example, are areas where robots already have a presence. Continued growth of autonomous robots could allow people currently performing these tasks to shift to more strategic, less dangerous, and higher value work. The time for industries to assess their settings for piloting autonomous robots is now. Depending on needs and existing capabilities within their settings, implementing autonomous robots, from robotic process automation to self-guiding, vehicles with artificial intelligence, can provide significant improvements in productivity and efficiency, while reducing labor costs and improving customer satisfaction.
Video made by April Scott about her research results and experience in this RET program(Click Here)
Lesson plan submitted to TeachEngineering: Lego Explorer: Teaching Robots to Identify Size and Color (Status: under revision)