Object Tracking Using Autonomous Quad Copter

This work explains an approach to implement an autonomous ball catching quad copter by combining object detection and trajectory calculations. To accomplish this, a quad copter is used to autonomously catch a ball by dynamically calculating trajectory and the interception point using two Kinects. This approach is tested in a two-step process. First successful test is done on a flat surface (table) and the second test is done in the air

A survey on sensor classifications for industrial applications

Journal ArticleThe importance of sensors in industrial applications is a result of the introduction of many robotics, automation, and intelligent control techniques into factory floors. Research and improvements need to be continuously performed to meet the challenges in automation and manufacturing applications in industry. Manufacturing processes are becoming extensively dependent on robotic and automation systems, and are requiring more reliable and accurate sensors to be integrated with the manufacturing systems. Sensors are selected depending on the type of process, the expected precision, the operational environment, and many other factors. In this report we survey the different classifications of sensors, and the various sensor applications in industry

A PC-Based Simulator/Controller/Monitor Software for a Manipulators and Electromechanical Systems

Pre-print of "A PC-Based Simulator/Controller/Monitor Software for a Generic 6-DOF Manipulator". The final publication is available at link.springer.comGeneral form application is a very important issue in industrial design. Prototyping a design helps in determining system parameters, ranges and in structuring better systems. Robotics is one of the industrial design fields in which prototyping is crucial for improved functionality. Developing an environment that enables optimal and flexible design using reconfigurable links, joints, actuators and sensors is essential for using robots in the education and industrial fields [4] [6]. We propose a PC-Based software package to control, monitor and simulate a generic 6-DOF (six degrees of freedom) robot including a spherical wrist. This package may be used as a black box for the design implementations or as white (detailed) box for learning about the basics of robotics and simulation technology.http://link.springer.com/article/10.1023/A%3A101203541183

Sensing Under Uncertainty for Mobile Robots

The final publication is available at www.springerlink.comIn this work we present a control strategy under uncertainty for mobile robot navigation. In particular, we implement a server-client model, where the server executes the commands and the clients run in parallel, each performing its tasks. Tolerance analysis is performed to incorporate sensing uncertainties into the proposed model. The sensory system is depicted with a framework that allows different levels of data representation, based on the robust modeling of the sensing uncertainties.http://link.springer.com/article/10.1023%2FA%3A100801722539

Online Customization and Enrollment Application Network (OCEAN)

This paper introduces the Online Customization and Enrollment Application Network (OCEAN), developed in the School of Engineering at the University of Bridgeport. OCEAN is an interactive web-based application for graduate programs, concentrations, certificates and courses across the Schools of Engineering, Business and Education that allows prospective and current students to customize their preferences in the course selection process depending on the targeted graduate concentrations, degrees, and/or dual degree programs

Logical Control for Mobile Robots

In this work we present a distributed sensor-based control strategy for mobile robot navigation. We investigate a server-client model, where the clients are executing their tasks in parallel. The logical sensor approach is used as a hybrid framework to model and implement the sensory system for control of the mobile robot. The framework allows for a hierarchical data representation scheme, where sensory data and uncertainty is modeled and used at different levels, depending on the nature of the requested control command

A prospective, randomized therapeutic trial for schistosomal specific nephropathy

A prospective, randomized therapeutic trial for schistosomal specific nephropathy. In this work 26 patients with schistosomal specific nephropathy were randomly distributed among three groups. Group I cases were given anti-schistosomal drugs (oxamniquine and praziquantel), group II cases were given anti-schistosomal drugs plus prednisolone, and group III cases were given anti-schistosomal drugs plus cyclosporine. The schistosomal specificity of kidney lesions was assessed by detecting the schistosomal specific antigens (CAA and CCA) and antibodies deposited in the renal glomeruli of these patients. Patients who had another etiologic cause which may explain their kidney disease were not admitted to this study. After initiation of the treatment, patients were followed up every other week in the outpatient clinic for 12 months. Follow-up showed complete remission of proteinuria in two cases in group II (duration of remission was 4 and 8 months) and in one case in group III (duration of remission was 6 months) but in none in group I. Partial remission was observed in one case in group I, in three cases in group II and in one case in group HI. During the observation period, improvement in kidney function was observed in two cases in group II but deterioration in kidney function was observed in one case in group I and in one other case in group III. We conclude that in patients with schistosomal nephropathy, none of the tried therapeutic regimens produce regression of the disease if given to patients with established disease