GoKawiilResearchers warn AI-driven robots face new hidden 'backdoor' attack risks
A VicOne-sponsored analysis highlights how physical AI systems—robots that use multimodal sensors and AI models to perceive and act—can be manipulated through corrupted training data, tampered infrastructure, or spoofed real-time sensor input, without any visible malfunction. It cites BadVLA, a NeurIPS 2025 study showing how a hidden trigger embedded in a Vision-Language-Action model can cause a robot to behave normally until the trigger appears, then subtly alter its physical movements.