Electrical Engineering and Computer Science Faculty Publications
Document Type
Conference Proceeding
Publication Title
Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS
Abstract
Perception, the process of comprehending and deriving meaning from one’s surroundings, is fundamental to human decision-making. In this context, we explore the development of a robust perception model designed for mobile robots to facilitate effective human-robot communication and decision-making in dynamic and intricate scenarios. Achieving localization without GPS in a network of roads using stratified sequential importance sampling where the stratification levels are based on semantic object spaces in the map and on the running time, we articulate and describe the proposed development and experimentation environment, demonstrating the potential of our perception model. Copyright © 2024 by the authors.
DOI
10.32473/flairs.37.1.135527
Publication Date
2024
Recommended Citation
Paul, Sheuli; Silaghi, Marius; Këpuska, Veton; and Alghanmi, Akram, "Perception Model for Mobile Robots Assisting Humans in Decision-Making during Complex Situations" (2024). Electrical Engineering and Computer Science Faculty Publications. 297.
https://repository.fit.edu/ces_faculty/297