Sebastian Flores

Fraunhofer Institute for Material Flow and Logistics

Papers

Total Citations

H-Index

About

Sebastian Flores is a robotics researcher specializing in computer vision and person re-identification for mobile robotic platforms. His primary research focuses on developing real-time identification systems that enable robots to recognize and track individuals in dynamic environments, particularly using cost-effective depth camera technology. His most cited work, "Person Re-Identification on a Mobile Robot Using a Depth Camera" (2022, 5 citations), introduces a novel approach that leverages only the infrared gray value images from depth cameras—bypassing traditional RGB sensors—to perform person re-identification in both closed- and open-world settings. A key contribution of this work is the creation of a custom dataset of IR gray value images paired with pose data, addressing the lack of suitable benchmarks for depth-camera-based re-identification. This innovation has practical implications for service robotics, security, and human-robot interaction, where robust identification is critical. Flores’s work demonstrates how resource-efficient vision systems can expand the capabilities of mobile robots in real-world applications.