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arXiv 2501.04541cs.ROcs.AIcs.CR
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机器人运动控制中的信息物理隐写术

Cyber-Physical Steganography in Robotic Motion Control

National Institute of Informatics(情报信息学研究所);Feng Chia University(逢甲大学);University of Tokyo(东京大学)

Ching-Chun Chang, Yijie Lin, Isao Echizen

AI总结:

本文提出机器人运动控制中的信息物理隐写范式,利用环境刺激影响机器人运动并从轨迹解码消息,以完整性和低偏差保障保密性,并通过多任务仿真验证。

摘要:

隐写术是信息隐藏的艺术,已在视觉、听觉和语言领域不断演进,适应着隐写隐藏与隐写分析揭示之间无休止的相互作用。本研究试图通过引入一种机器人运动控制中的隐写范式,拓展可行隐写媒介的边界。基于对机器人固有环境变化敏感性的观察,我们提出一种方法,将消息编码为影响机器人智能体运动的环境刺激,并从由此产生的运动轨迹中解码消息。研究确立了最大机器人完整性和最小运动偏差约束,作为保密性的基本原则。作为概念验证,我们在模拟环境中针对多种操作任务开展实验,纳入配备通用多模态策略的机器人具身形态。

英文摘要:

Steganography, the art of information hiding, has continually evolved across visual, auditory and linguistic domains, adapting to the ceaseless interplay between steganographic concealment and steganalytic revelation. This study seeks to extend the horizons of what constitutes a viable steganographic medium by introducing a steganographic paradigm in robotic motion control. Based on the observation of the robot's inherent sensitivity to changes in its environment, we propose a methodology to encode messages as environmental stimuli influencing the motions of the robotic agent and to decode messages from the resulting motion trajectory. The constraints of maximal robot integrity and minimal motion deviation are established as fundamental principles underlying secrecy. As a proof of concept, we conduct experiments in simulated environments across various manipulation tasks, incorporating robotic embodiments equipped with generalist multimodal policies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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