Robotics Commons^™

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, monotonic, …

Surgical And Medical Applications Of Drones: A Comprehensive Review, Brent Terwilliger, James C. Rosser Jr., Vudatha Vignesh, Brett C. Parker

Publications

Drones have the ability to gather real time data cost effectively, to deliver payloads and have initiated the rapid evolution of many industrial, commercial, and recreational applications. Unfortunately, there has been a slower expansion in the field of medicine. This article provides a comprehensive review of current and future drone applications in medicine, in hopes of empowering and inspiring more aggressive investigation.

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

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 …

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

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 …

Biomimetic Design And Construction Of A Bipedal Walking Robot, Alexander Gabriel Steele

Dissertations and Theses

Human balance and locomotion control is highly complex and not well understood. To understand how the nervous system controls balance and locomotion works, we test how the body responds to controlled perturbations, the results are analyzed, and control models are developed. However, to recreate this system of control there is a need for a robot with human-like kinematics. Unfortunately, such a robotic testbed does not exist despite the numerous applications such a design would have in mobile robotics, healthcare, and prosthetics.

This thesis presents a robotic testbed model of human lower legs. By using MRI and CT scans, I designed …

Robust Pose Estimation Of A Robotic Navigation Aid For The Visually Impaired By Multimodal Data Fusion, He Zhang

Theses and Dissertations

For a visually impaired individual, it is a challenging task for him/her to plan and follow a path towards the destination. This task is referred to as wayfinding. In this paper, the functions of wayfinding are defined as localization (aka pose estimation) in an indoor environment and finding a way to get to the destination by using the location information. To address this issue, vision-based navigation systems that use a camera for pose estimation have been intensively studied. Several vision-based robotic navigation aids (RNAs) for the visually impaired have been developed. However, these RNAs are not reliable enough to assist …

Baseball Shagger, Anthony Velasquez, Nick Walker, Nathaniel Kai Paresa

Computer Engineering

The purpose of our project is to allow players to hit baseballs on a baseball field and not have to worry about picking them up. By combining our knowledge of software and hardware, we developed the first design of a robot that “shags” baseballs. Our endeavor was only partially successful. The device was tested on grass, turf, and concrete. The motors did not have enough torque to get moving on grass. The device faired better on turf where it could move, but was quite jerky as the motor drive needed to be high to start moving, but once it was …

A Comparative Study Of Feature Detection Methods For Auv Localization, Andrew Y. Kim

Master's Theses

Underwater localization is a difficult task when it comes to making the system autonomous due to the unpredictable environment. The fact that radio signals such as GPS cannot be transmitted through water makes autonomous movement and localization underwater even more challenging. One specific method that is widely used for autonomous underwater navigation applications is Simultaneous Localization and Mapping (SLAM), a technique in which a map is created and updated while localizing the vehicle within the map. In SLAM, feature detection is used in landmark extraction and data association by examining each pixel and differentiating landmarks pixels from those of the …

Artificial Neural Network-Based Robotic Control, Justin Ng

Master's Theses

Artificial neural networks (ANNs) are highly-capable alternatives to traditional problem solving schemes due to their ability to solve non-linear systems with a nonalgorithmic approach. The applications of ANNs range from process control to pattern recognition and, with increasing importance, robotics. This paper demonstrates continuous control of a robot using the deep deterministic policy gradients (DDPG) algorithm, an actor-critic reinforcement learning strategy, originally conceived by Google DeepMind. After training, the robot performs controlled locomotion within an enclosed area. The paper also details the robot design process and explores the challenges of implementation in a real-time system.

Corridor Navigation For Monocular Vision Mobile Robots, Matthew James Ng

Master's Theses

Monocular vision robots use a single camera to process information about its environment. By analyzing this scene, the robot can determine the best navigation direction. Many modern approaches to robot hallway navigation involve using a plethora of sensors to detect certain features in the environment. This can be laser range finders, inertial measurement units, motor encoders, and cameras.

By combining all these sensors, there is unused data which could be useful for navigation. To draw back and develop a baseline approach, this thesis explores the reliability and capability of solely using a camera for navigation. The basic navigation structure begins …

Towards Autonomous Localization Of An Underwater Drone, Nathan Sfard

Master's Theses

Autonomous vehicle navigation is a complex and challenging task. Land and aerial vehicles often use highly accurate GPS sensors to localize themselves in their environments. These sensors are ineffective in underwater environments due to signal attenuation. Autonomous underwater vehicles utilize one or more of the following approaches for successful localization and navigation: inertial/dead-reckoning, acoustic signals, and geophysical data. This thesis examines autonomous localization in a simulated environment for an OpenROV Underwater Drone using a Kalman Filter. This filter performs state estimation for a dead reckoning system exhibiting an additive error in location measurements. We evaluate the accuracy of this Kalman …

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.

Roborodentia Robot: Treadbot, Stephen C. Schmidt

Computer Science and Software Engineering

This document is a summary of my contest entry to the 2018 Cal Poly Roborodentia competition. It is meant to be a process overview and design outline of the mechanical, electrical, and software components of my robot.

Dynamic Model For Simulating Motion Of The Right Ventricle, Brian Michael Larsen, Sam Koopman Porter, John Francis D'Ambrosio

Mechanical Engineering

This report documents all the research, ideation, and mockups used to determine right ventricle motion and develop a system capable of reproducing that motion on a tissue sample. The model is intended for evaluating anchoring systems being developed by Edwards Lifesciences for use with tricuspid valve therapies. Several design solutions were considered for the primary functions of recreating motion of the right ventricle and attaching tissue to the device. From these ideas a primary means of producing motion and attaching tissue was selected. These ideas were then developed over the course of a school year to become the final system …

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

Computer Engineering

For our senior project, our group decided to build a robot to participate in Roborodentia 2018, an annual robotics competition overlooked by Professor Seng that takes place during open house. When taking into consideration the classes that Computer Engineering students had to have taken and the skills that we have developed throughout our time here on campus, a robotics project seemed to be an appropriate culmination of both the technical and non-technical skills that we have acquired.

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 the …

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.