Mizzou unmanned systems team IIF final report

Project final reportOver the past year and a half, the Mizzou Unmanned Systems Team (MUST) has empowered dozens of Mizzou students to take their interest in unmanned systems and transform it into a passion. While we have witnessed a drastic decrease in the cost of obtaining such systems, even in the relatively short period of time the Team has been established, the initial cost of building and utilizing an unmanned system (suitable for academic purposes) is still in the area of $500-$1,000. The majority of college students cannot devote that much of their income to what is essentially a hobby (since commercial use is still illegal in most cases), but MUST allows those students to plan, build, configure, test, and operate these systems at no cost to the student

Perception is Everything: Repairing the Image of American Drone Warfare

This thesis will trace the United States’ development of unmanned warfare from its initial use in the World Wars through the Cold War to its final maturation in the War on Terror. The examination will provide a summary of unmanned warfare’s history, its gradual adoption, and concerns regarding the proliferation of drones use to understand the emphasis on unmanned weapons in the American Military. In each phase of development, a single program will be focused on to highlight special areas of interest in the modern day. Finally, the modern era of unmanned systems will focus on the growing integration of new weapon systems which no longer fulfill niche roles in the armory but act as fully vetted frontline combatants. Brought together, this examination will show drones have earned their place as integral tools in the American military inventory as faithful defenders of democracy

Autonomous three-dimensional formation flight for a swarm of unmanned aerial vehicles

This paper investigates the development of a new guidance algorithm for a formation of unmanned aerial vehicles. Using the new approach of bifurcating potential fields, it is shown that a formation of unmanned aerial vehicles can be successfully controlled such that verifiable autonomous patterns are achieved, with a simple parameter switch allowing for transitions between patterns. The key contribution that this paper presents is in the development of a new bounded bifurcating potential field that avoids saturating the vehicle actuators, which is essential for real or safety-critical applications. To demonstrate this, a guidance and control method is developed, based on a six-degreeof-freedom linearized aircraft model, showing that, in simulation, three-dimensional formation flight for a swarm of unmanned aerial vehicles can be achieved

A survey on fractional order control techniques for unmanned aerial and ground vehicles

In recent years, numerous applications of science and engineering for modeling and control of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) systems based on fractional calculus have been realized. The extra fractional order derivative terms allow to optimizing the performance of the systems. The review presented in this paper focuses on the control problems of the UAVs and UGVs that have been addressed by the fractional order techniques over the last decade

The Hidden Human Factors in Unmanned Aerial Vehicles

In April 2006, an Unmanned Aerial Vehicle crashed near Nogales, Arizona. This incident is of interest because it triggered one of the most sustained studies into the causes of failure involving such a vehicle. The National Transportation Safety Board together with the US Customs and Border Protection agency under the Department of Homeland Security worked to identify lessons learned from this mishap. The crash at Nogales is also of interest because it illustrates an irony of Unmanned Aircraft Systems operations; the increasing reliance on autonomous and unmanned operations is increasing the importance of other aspects of human-system interaction in the cause of major incidents. The following pages illustrate this argument using an accident analysis technique, Events and Causal Factors charting, to identify the many different ways in which human factors contributed to the loss of this Predator B aircraft

Formalized Resolution of the Scientific Task for Improving the Effective Planning Special Purpose Unmanned Aerial Vehicles Routes of Tactical Level

In the article, the features of application of special purpose unmanned aerial vehicles (UAVs) of the tactical level have resulted during the operation of the joint forces. The role of routes planning of special purpose UAVs of tactical level in the conditions of a concrete battle situation is determined. The necessity of the mathematical development for planning a flight route of special purpose UAVs is justified. Essence and maintenance of scientific task are set. Its formalized setting is guided

Improving situation awareness of a single human operator interacting with multiple unmanned vehicles: first results

In the context of the supervision of one or several unmanned vehicles by a human operator, the design of an adapted user interface is a major challenge. Therefore, in the context of an existing experimental set up composed of a ground station and heterogeneous unmanned ground and air vehicles we aim at redesigning the human-robot interactions to improve the operator's situation awareness. We base our new design on a classical user centered approach

Feasibility of Warehouse Drone Adoption and Implementation

While aerial delivery drones capture headlines, the pace of adoption of drones in warehouses has shown the greatest acceleration. Warehousing constitutes 30% of the cost of logistics in the US. The rise of e-commerce, greater customer service demands of retail stores, and a shortage of skilled labor have intensified competition for efficient warehouse operations. This takes place during an era of shortening technology life cycles. This paper integrates several theoretical perspectives on technology diffusion and adoption to propose a framework to inform supply chain decision-makers on when to invest in new robotics technology