Evansville Students Mapped Sidewalks Using AI Robot

University of Evansville students deployed a GPS-enabled robot to assess accessibility in the Promise Neighborhood.

Updated on Sept. 30, 2026 in Robotics

An autonomous mapping robot with a sensor tower rests on a cracked city sidewalk, capturing urban infrastructure data. — Students and faculty at the University of Evansville are using a specialized autonomous robot to map infrastructure accessibility throughout the city’s Promise Neighborhood. AI Illustration. Upload story photo >

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Do you support using AI and robotics to map and improve sidewalk accessibility in your area?

University of Evansville students and faculty have utilized a robot named Gizmo to scan and map sidewalk conditions throughout the city's Promise Neighborhood. The project, titled Sidewalks4All, employs artificial intelligence to analyze infrastructure accessibility.

Why it matters

The initiative aims to improve urban mobility by creating a detailed quality map of pedestrian infrastructure. By incorporating resident-reported data, the team works to identify and address specific safety hazards like cracks or missing crosswalks.

The robot, Gizmo, utilizes onboard GPS and computer vision to collect granular data on surface conditions and accessibility features. These inputs are processed by project AI models to generate a comprehensive accessibility map.

The players

University of Evansville

This private university serves as the lead academic institution for the Sidewalks4All robotics and AI research project.

Gizmo

This specialized robot is equipped with GPS and computer vision technology to scan urban sidewalk infrastructure.

The details

The Sidewalks4All initiative integrates contributions from students in computer science, civil engineering, and electrical engineering. Residents can further assist the project through a new mobile application designed to report infrastructure issues, which in turn helps refine the AI models.

September 30, 2026: The project activities were reported.

The Tech Race

The deployment of autonomous mapping robots represents a shift from manual municipal infrastructure audits to data-driven, scalable AI solutions. This trend reflects a broader move toward using specialized robotics to automate maintenance tracking in urban environments.

Residents in the Promise Neighborhood can use the new mobile app to report specific infrastructure hazards like broken crosswalks or deep cracks. This direct feedback loop allows locals to influence city maintenance priorities through crowdsourced data.

The takeaway

Using robots for accessibility mapping allows cities to gather high-resolution data on pedestrian safety with greater efficiency. Residents are encouraged to use community reporting tools to ensure local infrastructure remains safe and inclusive for all pedestrians.