Multi-bot Easy Control Hierarchy

The goal of our project is to create a software architecture that makes it possible to easily control a multi-robot system, as well as seamlessly change control modes during operation. The different control schemes first include the ability to implement on-board and off-board controllers. Second, the commands can specify either actuator level, vehicle level, or fleet level behavior. Finally, motion can be specified by giving a waypoint and time constraint, a velocity and heading, or a throttle and angle. Our code is abstracted so that any type of robot - ranging from ones that use a differential drive set up, to three-wheeled holonomic platforms, to quadcopters - can be added to the system by simply writing drivers that interface with the hardware used and by implementing math packages that do the required calculations. Our team has successfully demonstrated piloting a single robots while switching between waypoint navigation and a joystick controller. In addition, we have demonstrated the synchronized control of two robots using joystick control. Future work includes implementing a more robust cluster control, including off-board functionality, and incorporating our architecture into different types of robots

Mira

As time goes on and generations pass by each other, both society and its needs develop. Therefore, we need to be constantly adapting to the change happening around us. The mirror is an object that we use in everyday life that could use some adapting. It performs a very simple function, one with no flair, yet it is one of the most commonly used objects in the world. It is designed with only one purpose in mind: let the user see their reflection. Despite the amount of time we spend looking in a mirror, it has not evolved or developed past this singular function. We designed our product, Mira, to evolve the experience of using a mirror. Our company\u27s mantra is to create technology that advances along with society. Our vision for the future includes the idea that every household comes along with a set of smart mirrors designed to accustom any room. The following items are some of the features that Mira offers: functional mirror clock weather/temperature Mirrors are a thing of the past, we need something new at last! Introducing Mira

Introduction

Introduction to volume 6 of Macalester College\u27s journal Tapestries: Interwoven voices of local and global identities

Multi-Level Route-Optimization Computer Application

This report provides a detailed analysis on how to optimize driving routes by creating a computer application. There are many different route-optimization issues that logistical companies consistently face, as well as many different solutions and algorithms. With technology on the rise, pick-up, delivery, and transportation services are become a huge part of our everyday lives. When optimizing routes, reducing transportation costs by minimizing travel distance is always ideal, but other factors must be considered such as arriving at a location before or after a certain time. Our objective is to optimize driving routes based on travel distance and priorities. We approached this project by using SQL as our main source of determining the route order based on the given distances and priorities of each destination in the projected route. We also used VBA as a tool to support the calculations and ASP.net to insert Javascript and HTML code, which allows us to visualize the Google Maps route once the order has been determined

The Information Content of Option Ratios

A broad stream of research shows that information flows into underlying stock prices through the options market. For instance, prior research shows that both the Put–Call Ratio (P/C) and the Option-to-Stock Volume Ratio (O/S) predict negative future stock returns. In this paper, we compare the level of information contained in these two commonly used option volume ratios. First, we find that P/C ratios contain more predictability about future stock returns at the daily level than O/S ratios. Second, in contrast to our first set of results, O/S ratios contain more predictability about future returns at the weekly and monthly levels than P/C ratios. In fact, our tests show that while P/C ratios contain predictability about future daily returns and, to some extent, future weekly returns, the return predictability in P/C ratios is fleeting. O/S ratios, on the other hand, significantly predict negative returns at all levels: daily, weekly, and monthly. While Pan and Poteshman (2006) show that signed P/C ratios, which require proprietary data, have predictive power, we find that unsigned P/C ratios, which do not require proprietary data, also have predictive power