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Full-Text Articles in Engineering

Developing A Miniature Smart Boat For Marine Research, Michael Isaac Eirinberg Jun 2022

Developing A Miniature Smart Boat For Marine Research, Michael Isaac Eirinberg

Computer Engineering

This project examines the development of a smart boat which could serve as a possible marine research apparatus. The smart boat consists of a miniature vessel containing a low-cost microcontroller to live stream a camera feed, GPS telemetry, and compass data through its own WiFi access point. The smart boat also has the potential for autonomous navigation. My project captivated the interest of several members of California Polytechnic State University, San Luis Obispo’s (Cal Poly SLO) Marine Science Department faculty, who proposed a variety of fascinating and valuable smart boat applications.


The Mechanical Development For An Autonomous Forest Service Robot, James P. Walker Dec 2019

The Mechanical Development For An Autonomous Forest Service Robot, James P. Walker

Honors College Theses

Georgia’s forests are under threat from numerous invasive species of plant, both herbaceous and woody. A primary factor in the invasive potential of any given non-native plant is the lack of natural predators and rapid reseed and regrowth cycles. To combat invasive plants, this thesis proposes an artificial, robotic predator to provide a means of controlling invasive species. Although autonomous robots are currently being developed for similar agricultural purposes, none have emerged for forestry related tasks, such as proposed in this work. The chassis, inspired by rocker bogie and similar suspension systems, has been redesigned to have eight wheels, to …


Integration Of Robotic Perception, Action, And Memory, Li Yang Ku Oct 2018

Integration Of Robotic Perception, Action, And Memory, Li Yang Ku

Doctoral Dissertations

In the book "On Intelligence", Hawkins states that intelligence should be measured by the capacity to memorize and predict patterns. I further suggest that the ability to predict action consequences based on perception and memory is essential for robots to demonstrate intelligent behaviors in unstructured environments. However, traditional approaches generally represent action and perception separately---as computer vision modules that recognize objects and as planners that execute actions based on labels and poses. I propose here a more integrated approach where action and perception are combined in a memory model, in which a sequence of actions can be planned based on …