Performance Impact of Strengthening the Accountability and Explainability System in Autonomous Robots
摘要
Enhancing data management and security in robotics is crucial for ensuring reliable and efficient robotic operations. Effective data management facilitates data auditing, which further improves system reliability and traceability. This paper explores the integration of SealFS, a secure file system, into autonomous robotic systems. The primary problem addressed is the potential impact of SealFS on system performance, particularly write latency, compared to traditional Ext4 file systems. The methodology involves conducting latency tests in audio, video, and navigation contexts, along with analyzing CPU usage, file size consistency, and power efficiency.