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Articles 1 - 3 of 3
Full-Text Articles in Engineering
Mechanical Design And Optimization Of An Interactive Animatronic Bald Eagle, Eric Burns
Mechanical Design And Optimization Of An Interactive Animatronic Bald Eagle, Eric Burns
Phi Kappa Phi Research Symposium (2012-2016)
Animatronics is a specialized sub-category of mechatronics, a fusion of mechanical and electrical engineering. The field has grown from small, individual projects into a major industry. As animatronics progress, mechanical engineers are pushed to design internal structures which occupy ever-decreasing spaces and to ensure designs can undergo maintenance and modifications smoothly. This research investigates methods of reducing space required for mechanisms and several other beneficial methods of development as well as varying satisfactions for audiences when exposed to actor-controlled systems rather than pre-scripted functions. The mechanical systems are designed using CAD software available at Georgia Southern. On-campus, resources are used …
Autonomous Methods In The Application Of Simple Swarm Capabilities, Joseph Watt Iii
Autonomous Methods In The Application Of Simple Swarm Capabilities, Joseph Watt Iii
GS4 Georgia Southern Student Scholars Symposium
Swarm technology is a relatively new aspect to the drone industry. It involves multiple drones being able to communicate with each other and relay this back to the user. From this standpoint one operator can control all of them at once while only giving directions to one or more. This involves the use of different autonomous algorithms, similar to autopilot where programs fly the plane, that relay to one another on what adjustments to make or where to go. This idea is very useful in search and rescue operations where it might be too dangerous to insert a human. Also …
Applying Spiking Neural Network Simulation To Neuromodulatory Autonomous Robot Control, Cameron Muhammad
Applying Spiking Neural Network Simulation To Neuromodulatory Autonomous Robot Control, Cameron Muhammad
Phi Kappa Phi Research Symposium (2012-2016)
In this paper, simulation of the brain based on an artificial spiking neuron model is used to create a self-learning algorithm. The spiking neuron simulation is used to demonstrate a neuromodulation program in which the reward seeking properties of dopamine, the risk-adverse effects of serotonin, and the attention-focusing effects of the cholinergic and noradrenergic systems are applied to a mobile robotic platform as it moves autonomously throughout an environment. External stimuli is recorded by the program as spiking “events” that result in corresponding amounts of dopamine and serotonin influenced spiking patterns. These spiking patterns affect how the robot adapts to …