Explorer51 – Indoor Mapping, Discovery, and Navigation for an Autonomous Mobile Robot; Comparative analysis of citizen journalism capabilities of WeChat and Twitter

Scott, Dax, School of Engineering and Applied Science, University of Virginia
Behl, Madhur, EN-Comp Science Dept, University of Virginia
Ku, Tsai-Hsuan, EN-Engineering and Society, University of Virginia

Robotics, autonomous systems, and artificial intelligence (AI) has the potential to change the nature of human guided exploration of indoor and outdoor spaces. Such autonomous mobile robots can be incorporated into a variety of applications, ranging from logistics and maintenance, to intelligence gathering, surveillance, and reconnaissance. The development of a 3D-printed mobile ground robot displaying these capabilities can allow "hackering" of the robot from the field, as components can be printed, modified, and installed as needed.
Likewise, social media provides wide accessibility to large audiences, allowing any individual to potentially share, re-frame, and discuss new information without going through traditional journalism sources. However, the capacity for any one platform for citizen journalism can also dependent on local laws and practices.

BS (Bachelor of Science)
robotics, social media, actant

School of Engineering and Applied Science
Bachelor of Science in Systems Engineering
Technical Advisor: Madhur Behl
STS Advisor: Tsai-Hsuan Ku
Technical Team Members: Gabriel Argush, William Holincheck, Jessica Krynitsky, Brian McGuire, Charlie Tolleson

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