Intelligent strategies for mobile robotics in laboratory automation

In this thesis a new intelligent framework is presented for the mobile robots in laboratory automation, which includes: a new multi-floor indoor navigation method is presented and an intelligent multi-floor path planning is proposed; a new signal filtering method is presented for the robots to forecast their indoor coordinates; a new human feature based strategy is proposed for the robot-human smart collision avoidance; a new robot power forecasting method is proposed to decide a distributed transportation task; a new blind approach is presented for the arm manipulations for the robots

Mobile robot transportation in laboratory automation

In this dissertation a new mobile robot transportation system is developed for the modern laboratory automation to connect the distributed automated systems and workbenches. In the system, a series of scientific and technical robot indoor issues are presented and solved, including the multiple robot control strategy, the indoor transportation path planning, the hybrid robot indoor localization, the recharging optimization, the robot-automated door interface, the robot blind arm grasping & placing, etc. The experiments show the proposed system and methods are effective and efficient

Secure indoor navigation and operation of mobile robots

In future work environments, robots will navigate and work side by side to humans. This raises big challenges related to the safety of these robots. In this Dissertation, three tasks have been realized: 1) implementing a localization and navigation system based on StarGazer sensor and Kalman filter; 2) realizing a human-robot interaction system using Kinect sensor and BPNN and SVM models to define the gestures and 3) a new collision avoidance system is realized. The system works on generating the collision-free paths based on the interaction between the human and the robot.In zukünftigen Arbeitsumgebungen werden Roboter navigieren nebeneinander an Menschen. Das wirft Herausforderungen im Zusammenhang mit der Sicherheit dieser Roboter auf. In dieser Dissertation drei Aufgaben realisiert: 1. Implementierung eines Lokalisierungs und Navigationssystem basierend auf Kalman Filter: 2. Realisierung eines Mensch-Roboter-Interaktionssystem mit Kinect und AI zur Definition der Gesten und 3. ein neues Kollisionsvermeidungssystem wird realisiert. Das System arbeitet an der Erzeugung der kollisionsfreien Pfade, die auf der Wechselwirkung zwischen dem Menschen und dem Roboter basieren

Selling The American People: Data, Technology, And The Calculated Transformation Of Advertising

This dissertation tells the history of a future imagined by advertisers as they interpreted and constructed the affordances of digital information technologies. It looks at how related efforts to predict and influence consumer habits and to package and sell audience attention helped orchestrate the marriage of behavioral science and big-data analytics that defines digital marketing today. My research shows how advertising and commercial media industries rebuilt their information infrastructures around electronic data processing, networked computing, and elaborate forms of quantitative analysis, beginning in the 1950s. Advertisers, agencies, and media companies accommodated their activities to increasingly calculated ways of thinking about consumers and audiences, and to more statistical and computational forms of judgement. Responding to existing priorities and challenges, and to perceived opportunities to move closer to underlying ambitions, a variety of actors envisioned the future of marketing and media through a set of possibilities that became central to the commercialization of digital communications. People involved in the television business today use the term “advanced advertising” to describe a set of abilities at the heart of internet and mobile marketing: programmability (automation), addressability (personalization), shoppability (interactive commerce), and accountability (measurement and analytics). In contrast to the perception that these are unique elements of a “new” digital media environment that emerged in the mid-1990s, I find that these themes appear conspicuously in designs for using and shaping information technologies over the course of the past six decades. I use these potential abilities as entry points for analyzing a broader shift in advertising and commercial media that began well before the popular arrival of the internet. Across the second half of the twentieth century, the advertising industry, a major cultural and economic institution, was reconstructed around the goal of expanding its abilities to account for and calculate more of social and personal life. This transformation sits at an intersection where the processing of data, the processing of commerce, and the processing of culture collide