机器人安全系统如何应对被操纵的输入
IEEE Spectrum一篇由VicOne赞助的文章探讨了错误的距离读数、位置估算、消息或传感器数据如何影响机器人的安全决策。VicOne LAB R7称，海报文字曾利用Gemma 4 E4B改变机器狗的动作，定制音频改变了医院服务机器人模拟结果，注入ROS 2/DDS消息还使一台机器人违背安全控制设置而移动；文章同时指出，研究人员没有证明同类陀螺仪攻击链会让人形机器人跌倒。文章建议安全团队针对虚假或被操纵的输入测试防护机制，并检查彼此独立的保护措施是否依赖相同的脆弱输入。
机器人安全机制可能与受其保护的系统依赖同类不可信输入，因此只证明正常情况下的防护有效，并不足以说明系统能够抵御故障或蓄意操纵的数据。
This article is brought to you by VicOne.
A mobile robot slows for someone in a hallway. A collaborative arm eases its movement as a worker approaches. A humanoid pauses to let a person pass. Each response depends on information about the robot or its surroundings: a distance reading, a position estimate, or a stop signal.
But what happens when one of those inputs is wrong, and the robot still responds exactly as designed? The mobile robot reads the hallway as clear while someone is still there. The arm estimates that the worker is farther away. The humanoid does not receive a stop signal as a person crosses its path.
In each case, a fault could cause that mismatch. So could deliberate manipulation.
At VicOne LAB R7, we examine how manipulated inputs can change robot behavior — and what that means for the systems meant to keep people safe.
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