人間とロボットの円滑で堅牢な対話のためのフォグロボティクス
Fog Robotics for Efficient, Fluent and Robust Human-Robot Interaction
クラウドロボティクスの遅延やセキュリティ問題を解決するため、フォグコンピューティングを活用した次世代ソーシャルロボットアーキテクチャを提案し、応答性の向上を実験的に示した論文。
著者: Siva Leela Krishna Chand Gudi, Suman Ojha, Benjamin Johnston, Jesse Clark, Mary-Anne Williams
分類: cs.RO
原文アブストラクト
Active communication between robots and humans is essential for effective human-robot interaction. To accomplish this objective, Cloud Robotics (CR) was introduced to make robots enhance their capabilities. It enables robots to perform extensive computations in the cloud by sharing their outcomes. Outcomes include maps, images, processing power, data, activities, and other robot resources. But due to the colossal growth of data and traffic, CR suffers from serious latency issues. Therefore, it is unlikely to scale a large number of robots particularly in human-robot interaction scenarios, where responsiveness is paramount. Furthermore, other issues related to security such as privacy breaches and ransomware attacks can increase. To address these problems, in this paper, we have envisioned the next generation of social robotic architectures based on Fog Robotics (FR) that inherits the strengths of Fog Computing to augment the future social robotic systems. These new architectures can escalate the dexterity of robots by shoving the data closer to the robot. Additionally, they can ensure that human-robot interaction is more responsive by resolving the problems of CR. Moreover, experimental results are further discussed by considering a scenario of FR and latency as a primary factor comparing to CR models.
