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“New” Subjects In Mechatronics Management Education, Peter Kopacek 2018 Technische Universität Wien

“New” Subjects In Mechatronics Management Education, Peter Kopacek

International Journal of Business and Technology

Process – and manufacturing automation as well as robotics are currently one of the fast growing fields in automation. Advanced process control, cyber-physical systems, industry 4.0 and “advanced robots” are no longer a headline. They are in realization. As a consequence of these developments new social, ethical and human questions appear.

Therefore this contribution is a first report about the continuous “modernization” of the Mechatronics Management BSc and MSc programs which are successful running at UBT. Both programs were developed in the framework of two TEMPUS projects from an international consortium from 2006 to 2009. Since that time new “buzzwords ...


Optimal Control Of Dc Motors Using Pso Algorithm For Tuning Pid Controller, Arnisa Myrtellari, Petrika Marango, Margarita Gjonaj 2018 Polytechnic University of Tirana

Optimal Control Of Dc Motors Using Pso Algorithm For Tuning Pid Controller, Arnisa Myrtellari, Petrika Marango, Margarita Gjonaj

International Journal of Business and Technology

The DC motors are widely used in the mechanisms that require control of speed. Different speed can be obtained by changing the field voltage and the armature voltage. The classic PID controllers are widely used in industrial process for speed control. But they aren’t suitable for high performance cases, because of the low robustness of PID controller. So many researchers have been studying various new control techniques in order to improve the system performance and tuning PID controllers. This paper presents particle swarm optimization (PSO) method for determining the optimal PID controller parameters to find the optimal parameters of ...


12 - Data Analytics Using Accelerometer Data Obtained From Adxl345 Mounted On A Wi-Fi-Based Remotely Controlled Model Car, Adriana Amyette, Sairam Tangirala, Tae Song Lee 2018 Georgia Gwinnett College

12 - Data Analytics Using Accelerometer Data Obtained From Adxl345 Mounted On A Wi-Fi-Based Remotely Controlled Model Car, Adriana Amyette, Sairam Tangirala, Tae Song Lee

Georgia Undergraduate Research Conference (GURC)

Poster presentation of

“Data Analytics Using Accelerometer Data Obtained From ADXL345 Mounted on a Wi-Fi-Based Remotely Controlled Model Car”

with demonstration of a working remotely-controlled smart car prototype system.


Esense 2.0: Modeling Biomimetic Predation With Multi-Agent Multi-Team Distributed Artificial Intelligence, D. Michael Franklin, Derek Martin 2018 Kennesaw State University

Esense 2.0: Modeling Biomimetic Predation With Multi-Agent Multi-Team Distributed Artificial Intelligence, D. Michael Franklin, Derek Martin

Georgia Undergraduate Research Conference (GURC)

Biologic predation is a complex interaction amongst sets of predators and prey operating within the same environment. There are many disparate factors for each member of each set to consider as they interact. Additionally, they each must seek food while avoiding other predators, meaning that they must prioritize their actions based on policies. eSense provides a powerful yet simplistic reinforcement learning algorithm that employs model-based behavior across multiple learning layers. These independent layers split the learning objectives across multiple layers, avoiding the learning-confusion common in many multi-agent systems. The new eSense 2.0 increases the number of layers and the ...


Reinforcement Learning In Robotic Task Domains With Deictic Descriptor Representation, Harry Paul Moore 2018 Louisiana State University

Reinforcement Learning In Robotic Task Domains With Deictic Descriptor Representation, Harry Paul Moore

LSU Doctoral Dissertations

In the field of reinforcement learning, robot task learning in a specific environment with a Markov decision process backdrop has seen much success. But, extending these results to learning a task for an environment domain has not been as fruitful, even for advanced methodologies such as relational reinforcement learning. In our research into robot learning in environment domains, we utilize a form of deictic representation for the robot’s description of the task environment. However, the non-Markovian nature of the deictic representation leads to perceptual aliasing and conflicting actions, invalidating standard reinforcement learning algorithms. To circumvent this difficulty, several past ...


Project Janus, Theodore J. Lilyeblade, Jacqueline Worley, Garrison Bybee 2018 Embry-Riddle Aeronautical University

Project Janus, Theodore J. Lilyeblade, Jacqueline Worley, Garrison Bybee

Undergraduate Research Symposium - Prescott

The development goal of Project Janus is to design, fabricate, and program two robotic heads that can serve as animatronic chatbots. Each robotic head will be equipped with two USB webcams, a mono speaker within the robot’s mouth, and a pair of microphones. Additionally, each robotic head will feature a three degree of freedom neck, a one degree-of-freedom jaw, and a two degree-of-freedom gimbal for the eyes upon which the cameras will be mounted. The robotic heads will be interfaced to separate internet connected personal computers. Through these computers, they will make use of online speech recognition tools, online ...


Deep Rc: Enabling Remote Control Through Deep Learning, Jaron Ellingson, Gary Ellingson, Tim McLain 2018 Brigham Young University

Deep Rc: Enabling Remote Control Through Deep Learning, Jaron Ellingson, Gary Ellingson, Tim Mclain

All Student Publications

Human remote-control (RC) pilots have the ability to perceive the position and orientation of an aircraft using only third-person-perspective visual sensing. While novice pilots often struggle when learning to control RC aircraft, they can sense the orientation of the aircraft with relative ease. In this paper, we hypothesize and demonstrate that deep learning methods can be used to mimic the human ability to perceive the orientation of an aircraft from monocular imagery.

This work uses a neural network to directly sense the aircraft attitude. The network is combined with more conventional image processing methods for visual tracking of the aircraft ...


Enhancing 3d Visual Odometry With Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo 2018 The Graduate Center, City University of New York

Enhancing 3d Visual Odometry With Single-Camera Stereo Omnidirectional Systems, Carlos A. Jaramillo

All Dissertations, Theses, and Capstone Projects

We explore low-cost solutions for efficiently improving the 3D pose estimation problem of a single camera moving in an unfamiliar environment. The visual odometry (VO) task -- as it is called when using computer vision to estimate egomotion -- is of particular interest to mobile robots as well as humans with visual impairments. The payload capacity of small robots like micro-aerial vehicles (drones) requires the use of portable perception equipment, which is constrained by size, weight, energy consumption, and processing power. Using a single camera as the passive sensor for the VO task satisfies these requirements, and it motivates the proposed solutions ...


Micro-Manipulation Using Learned Model, Matthew A. Lyng, Benjamin V. Johnson, David J. Cappelleri 2018 Purdue University

Micro-Manipulation Using Learned Model, Matthew A. Lyng, Benjamin V. Johnson, David J. Cappelleri

The Summer Undergraduate Research Fellowship (SURF) Symposium

Microscale devices can be found in applications ranging from sensors to structural components. The dominance of surface forces at the microscale hinders the assembly processes through nonlinear interactions that are difficult to model for automation, limiting designs of microsystems to primarily monolithic structures. Methods for modeling surface forces must be presented for viable manufacturing of devices consisting of multiple microparts. This paper proposes the implementation of supervised machine learning models to aid in automated micromanipulation tasks for advanced manufacturing applications. The developed models use sets of training data to implicitly model surface interactions and predict end-effector placement and paths that ...


A Neuromorphic Quadratic, Integrate, And Fire Silicon Neuron With Adaptive Gain, David Parent, Eric Basham 2018 San Jose State University

A Neuromorphic Quadratic, Integrate, And Fire Silicon Neuron With Adaptive Gain, David Parent, Eric Basham

Faculty Publications

An integrated circuit implementation of a silicon neuron was designed, manufactured, and tested. The circuit was designed using the Quadratic, Integrate, and Fire (QIF) neuron model in 0.5 µm silicon technology. The neuron implementation was optimized for low current consumption, drawing only 1.56 mA per QIF circuit and utilized hysteretic reset, non-inverting integrator, and voltage-squarer circuits. The final area of each circuit in silicon was 268 µm height × 400 µm width. This design is the first IC of its kind for this neuron model and is successfully able to output true spiking that follows the behaviors of bistability ...


Identification And Optimal Linear Tracking Control Of Odu Autonomous Surface Vehicle, Nadeem Khan 2018 Old Dominion University

Identification And Optimal Linear Tracking Control Of Odu Autonomous Surface Vehicle, Nadeem Khan

Mechanical & Aerospace Engineering Theses & Dissertations

Autonomous surface vehicles (ASVs) are being used for diverse applications of civilian and military importance such as: military reconnaissance, sea patrol, bathymetry, environmental monitoring, and oceanographic research. Currently, these unmanned tasks can accurately be accomplished by ASVs due to recent advancements in computing, sensing, and actuating systems. For this reason, researchers around the world have been taking interest in ASVs for the last decade. Due to the ever-changing surface of water and stochastic disturbances such as wind and tidal currents that greatly affect the path-following ability of ASVs, identification of an accurate model of inherently nonlinear and stochastic ASV system ...


Search Methods For Mobile Manipulator Performance Measurement, Samuel Nana Yaw Amoako-Frimpong 2018 Marquette University

Search Methods For Mobile Manipulator Performance Measurement, Samuel Nana Yaw Amoako-Frimpong

Master's Theses (2009 -)

Mobile manipulators are a potential solution to the increasing need for additional flexibility and mobility in industrial robotics applications. However, they tend to lack the accuracy and precision achieved by fixed manipulators, especially in scenarios where both the manipulator and the autonomous vehicle move simultaneously. This thesis analyzes the problem of dynamically evaluating the positioning error of mobile manipulators. In particular, it investigates the use of Bayesian methods to predict the position of the end-effector in the presence of uncertainty propagated from the mobile platform. Simulations and real-world experiments are carried out to test the proposed method against a deterministic ...


A Neuromorphic Quadratic, Integrate, And Fire Silicon Neuron With Adaptive Gain, David W. Parent, Eric J. Basham 2018 San Jose State University

A Neuromorphic Quadratic, Integrate, And Fire Silicon Neuron With Adaptive Gain, David W. Parent, Eric J. Basham

David W. Parent

An integrated circuit implementation of a silicon neuron was designed, manufactured, and tested. The circuit was designed using the Quadratic, Integrate, and Fire (QIF) neuron model in 0.5 µm silicon technology. The neuron implementation was optimized for low current consumption, drawing only 1.56 mA per QIF circuit and utilized hysteretic reset, non-inverting integrator, and voltage-squarer circuits. The final area of each circuit in silicon was 268 µm height × 400 µm width. This design is the first IC of its kind for this neuron model and is successfully able to output true spiking that follows the behaviors of bistability ...


Smart Vertical Farm System (Svfs), Sarasit Sirawattanakul 2018 Chulalongkom University

Smart Vertical Farm System (Svfs), Sarasit Sirawattanakul

The International Student Science Fair 2018

The unremitting trends of increasing population, urbanization, diminishing water supply, and continuing climate change have contributed to declining stocks of arable land per person. Land available for farming is shrinking, and the demand for food is growing. All of these lead to food insecurity. For the first version of Smart Vertical Farm System is designed to increase food productions by an automatic system. It built with shelves which support soil and hydroponic system, stacked vertically. The system first shovels the soil in the tray and sews the seeds. There is also additional watering system. The hydroponic parts are on the ...


Smart Vertical Farm System (Svfs), Sarasit Sirawattanakul 2018 Chulalongkorn University Demonstration Secondary School

Smart Vertical Farm System (Svfs), Sarasit Sirawattanakul

The International Student Science Fair 2018

The unremitting trends of increasing population, urbanization, diminishing water supply, and continuing climate change have contributed to declining stocks of arable land per person. Land available for farming is shrinking, and the demand for food is growing. All of these lead to food insecurity. For the first version of Smart Vertical Farm System is designed to increase food productions by an automatic system. It built with shelves which support soil and hydroponic system, stacked vertically. The system first shovels the soil in the tray and sews the seeds. There is also additional watering system. The hydroponic parts are on the ...


Roborodentia Final Report, Trevor James Gesell, Zeph Colby Nord, Mitchell Tyler Myjak 2018 California Polytechnic State University, San Luis Obispo

Roborodentia Final Report, Trevor James Gesell, Zeph Colby Nord, Mitchell Tyler Myjak

Computer Engineering

The Senior Project consisted of competing in Roborodentia, a competition in which groups build robots to complete a particular task. This event took place at the Cal Poly Open House on Saturday, April 12th, 2018. For the competition, the robot was to collect Nerf balls from supply tubes raised approximately 7” from the board and shoot them into nets placed along the opposite side of the course. The design, manufacture, and testing of the robot began the first week of Cal Poly winter quarter and lasted until the day of the competition.


Roborodentia, Bryan D. Hendricks 2018 California Polytechnic State University, San Luis Obispo

Roborodentia, Bryan D. Hendricks

Computer Engineering

This project is an autonomous robot, designed to perform a series of basic tasks without any human input. It’s based on the 2018 Roborodentia competition, in which teams of students design and build a small (roughly 1 square foot) robot that collects small foam spheres from vertical tubes on the edges of a table-sized arena, and shoot them into goals across the field. The more foam spheres the robot makes into the goals after a 3 minute time period, the more points they get. The challenge is doing so autonomously, without any human input after the initial timer for ...


Senior Project - Roborodentia Robot, Nicholas Alexander Ilog 2018 California Polytechnic State University, San Luis Obispo

Senior Project - Roborodentia Robot, Nicholas Alexander Ilog

Computer Engineering

This project includes an autonomous robot capable of dispensing balls from a dispenser mounted on a wall and shooting the balls through targets five to eight feet away. The robot can hold up to five balls at a time and shoots balls one by one at targets.


Autonomous Navigation And Mapping Using Lidar, Steven E. Alsalamy, Ben C. Foo, Garrett C. Frels 2018 California Polytechnic State University, San Luis Obispo

Autonomous Navigation And Mapping Using Lidar, Steven E. Alsalamy, Ben C. Foo, Garrett C. Frels

Computer Engineering

The goal of this project was to make a fully autonomous robot, capable of mapping its surroundings and navigating through obstacles. This was done through the use of a chassis fitted with tracks and two motors, a lidar, a compass, and a Raspberry Pi. The robot also contains two batteries and is self powered. Encoders are used on the motors in order to track the distance traveled for more precise mapping and movements.


Darling, Robot For Roborodentia 2018, Michael Le, Steven Liu 2018 California Polytechnic State University, San Luis Obispo

Darling, Robot For Roborodentia 2018, Michael Le, Steven Liu

Computer Engineering

No abstract provided.


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