Keiichiro Hattori

Papers

Total Citations

H-Index

About

Keiichiro Hattori is a researcher at the forefront of robotic security and autonomous system safety, with a particular focus on anomaly detection in LiDAR data. His most-cited work, "Anomaly Detection in LiDAR Data Using Virtual and Real Observations" (2023), addresses a critical vulnerability in modern robotics: the growing threat of malicious attacks on autonomous platforms. Recognizing that traditional security measures cannot prevent every attack vector, Hattori pioneers a novel approach that leverages both virtual simulations and real-world observations to identify anomalies in LiDAR sensor data. This dual-methodology framework enhances the robustness of robotic perception systems, enabling them to detect and respond to potential threats in real time. With 3 citations, this work is gaining traction as a foundational reference for researchers exploring sensor-level security in autonomous vehicles and service robots. Hattori's contributions are particularly timely given the accelerating integration of robots into public spaces, where safety and reliability are non-negotiable. His research not only advances technical safeguards but also provides a scalable blueprint for securing next-generation autonomous systems against evolving cyber-physical threats.