A Multi-Objective Optimization Strategy Based on the IEEE Std 7000-2021 Ethical Standard

In high-risk scenarios such as emergency rescue, robots are required to operate under constraints of limited resources, environmental uncertainty, and irreversible outcomes, where decision-making is often confronted with ethical dilemmas. This paper proposes a task decision-making method that integrates the IEEE Std 7000-2021 ethical standard with trajectory planning. By translating ethical principles into optimization objectives and combining them with an improved informed RRT∗ algorithm, the proposed approach generates and optimizes rescue paths that balance task efficiency with ethical acceptability. Simulation results indicate that the method effectively enhances the transparency and robustness of robot decision-making in the presence of ethical dilemmas, while reducing energy consumption and operational risk without sacrificing rescue success rates. The proposed framework offers an autonomous rescue robot solution that achieves both ethical soundness and execution reliability.