Lattice Semiconductor Uses FPGAs to Prevent Humanoid Robots From Becoming Weapons

The rise of humanoid robots has merged digital security with physical safety. As these machines move from caged industrial floors into human environments, a single cyberattack on safety parameters could potentially turn a robot into a physical weapon.

Eric Sivertson, VP of Security Business at Lattice Semiconductor, argues that for humanoid robotics, safety and security are inseparable. To address this, Lattice is deploying Field-Programmable Gate Arrays (FPGAs) to serve as a hardware-based Root-of-Trust (ROT). These FPGAs utilize internal non-volatile memory to enable secure booting and locked flash images, ensuring that the foundational code governing the robot's behavior cannot be maliciously altered.

The Vulnerability of High-Capacity Processors

Modern robots rely on high-capacity processors, such as GPUs and CPUs, to handle complex AI tasks. However, these components often lack internal flash memory, leaving them vulnerable during the instruction-loading process. This gap creates an opening for unauthorized code execution or denial-of-service attacks that could freeze or hijack a robot's movements.

Lattice FPGAs provide cyber-resilience by monitoring these primary processors. By acting as a deterministic hardware layer, the FPGA can detect anomalies and maintain safety guardrails even if the main AI processor is compromised. This ensures that the robot remains under control and can recover from an attack without endangering nearby humans.

The Shift to Cyber-Physical Security

Historically, robotics safety focused on preventing accidents through physical barriers or simple software limits. However, as robots transition into mobile, autonomous forms, the attack surface expands. Software-based guardrails are no longer sufficient because a sophisticated attacker can bypass or rewrite them.

By moving the security anchor to the hardware level, manufacturers can create a system where safety is a physical property of the circuitry rather than just a software setting. This shift is essential for the adoption of physical AI, where the consequence of a breach is no longer limited to data loss or ransomware, but involves immediate physical risk.

Future-Proofing Against Quantum Threats

As computing power evolves, the industry is already preparing for the next generation of threats. Lattice has collaborated with SEALSQ to deliver a unified TPM-FPGA architecture specifically designed for post-quantum security. This partnership integrates Trusted Platform Module (TPM) capabilities with FPGA flexibility to protect robots against future decryption capabilities.

Industry observers are now watching how these hardware-level security standards are adopted across the broader humanoid sector. The goal is to establish a baseline of trust where the hardware itself prevents the machine from violating its core safety protocols, regardless of the software state.