Engineering Commons^™

Jointly-Learnt Networks For Future Action Anticipation Via Self-Knowledge Distillation And Cycle Consistency, Md Moniruzzaman, Zhaozheng Yin, Zhihai He, Ming-Chuan Leu, Ruwen Qin

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Future action anticipation aims to infer future actions from the observation of a small set of past video frames. In this paper, we propose a novel Jointly learnt Action Anticipation Network (J-AAN) via Self-Knowledge Distillation (Self-KD) and cycle consistency for future action anticipation. In contrast to the current state-of-the-art methods which anticipate the future actions either directly or recursively, our proposed J-AAN anticipates the future actions jointly in both direct and recursive ways. However, when dealing with future action anticipation, one important challenge to address is the future's uncertainty since multiple action sequences may come from or be followed by …

Human-Automation Interaction Testbed For Evaluating User Control Methods And Training, Sarah M. O'Meara

Link Foundation Modeling, Simulation and Training Fellowship Reports

In a complex work environment, an operational challenge may be controlling the multitude of independent objects that are required for a manual task and/or object manipulation, such as experienced by astronauts, surgeons, underwater operations, manufacturing etc. One possible option is the enhancement of the person’s capabilities through a robotic supernumerary limb (Figure 1). The idea has already been implemented in a limited application, where the United States Army Research Laboratory developed a passive limb to aid soldiers in weapon carrying and stabilization[1]. Researchers are also creating supernumerary robots. Parietti, et al. [2] designed the Supernumerary Robotics Limbs to address aircraft …

Comparative Analysis Of Small Unmanned Aircraft Systems Operations Manuals, Stephen M. Cigal

Student Works

With over 100,000 remote pilots in the United States, individuals and companies are rapidly incorporating unmanned aircraft system technologies into their everyday life and businesses models. The companies that use these technologies must comply with federal and state regulations in order to maintain a safe environment to operate. These operations must also be accepted by the general public. Since the FAA regulations for small unmanned aircraft systems (sUAS) went into effect in 2016, supplemented by additional state and/or local requirements, some companies have generated operations manuals (OM) to ensure consistent, safe flight that meets these requirements. By analyzing the OM’s …

Keeping Your Distance: The Science Of Turns-Around-A-Point And Ground Reference Maneuvers, Nihad E. Daidzic

Aviation Department Publications

Ground reference maneuvers are more important than you may think. Frequently regarded as unimportant or boring, ground reference maneuver training is often limited to a few minutes of flight instructor demonstration and brief student practice.

Unmanned Aerial Systems: Research, Development, Education & Training At Embry-Riddle Aeronautical University, Michael P. Hickey

Publications

With technological breakthroughs in miniaturized aircraft-related components, including but not limited to communications, computer systems and sensors, state-of-the-art unmanned aerial systems (UAS) have become a reality. This fast-growing industry is anticipating and responding to a myriad of societal applications that will provide new and more cost-effective solutions that previous technologies could not, or will replace activities that involved humans in flight with associated risks.

Embry-Riddle Aeronautical University has a long history of aviation-related research and education, and is heavily engaged in UAS activities. This document provides a summary of these activities, and is divided into two parts. The first part …

Integrating Cobots In Engineering Technology Education, Ana M. Djuric, Vukica Jovanovic, Tatiana V. Goris, Otilia Popescu

Engineering Technology Faculty Publications

Collaborative robots or CoBots, unlike traditional robots, are safe and flexible enough to work harmoniously with humans. Exploiting the efficiency of automated operations and the flexibility of manual operations in one process can improve productivity and worker job satisfaction. CoBots technology has been experiencing strong growth in different areas such as ground transportation, food-processing industry, car manufacturing, and naval or aeronautical engineering. Current CoBots education and training opportunities are rare or non-existent in university environments. In response to this need, we developed several CoBots modules which will be integrated in the current robotics and mechatronics courses. In this paper we …

White Paper On Tuition Based Ab Initio Training Programs For Air Traffic Controllers, Tim Brady, Gregory Mcguirk

Publications

Embry-Riddle Aeronautical University is proposing an evaluation to transform the legacy method for hiring and training air traffic controllers. This evaluation will examine a transition to a prospective employee-funded, tuition-based model, while reinvesting savings to create a state-of-the-art air traffic training center at the FAA Academy in Oklahoma City.

The Houston Conference Revisited, Ralph M. Reitan, Jim Hom, Janet Van De Voorde, Daniel E. Stanczak, Deborah Wolfson

U.S. Air Force Research

This paper presents a review and critique of the Houston Conference on Specialty Education and Training in Clinical Neuropsychology, together with an informal summary of opinions of a number of neuropsychologists. Issues regarding the role of the Clinical Neuropsychology Synarchy (CNS) and the applicability of the conference policies are offered. Several deficiencies and limitations of the policy statement are discussed. An informal survey of neuropsychologists interested in the Houston Conference indicates rather different opinions concerning the training and education of neuropsychologists. It is our contention that the results of the Houston Conference can only be considered controversial at best and …

Sum Normal Optimization Of Fuzzy Membership Functions, Daniel J. Simon

Electrical and Computer Engineering Faculty Publications

Given a fuzzy logic system, how can we determine the membership functions that will result in the best performance? If we constrain the membership functions to a certain shape (e.g., triangles or trapezoids) then each membership function can be parameterized by a small number of variables and the membership optimization problem can be reduced to a parameter optimization problem. This is the approach that is typically taken, but it results in membership functions that are not (in general) sum normal. That is, the resulting membership function values do not add up to one at each point in the domain. This …