Ensuring safety for human-interactive robotics is important due to the potential for human injury. The key challenge is defining safety in a way that accounts for the complex range of human behaviors without modeling the human as an unconstrained adversary. We propose a novel approach to ensuring safety in these settings. Our approach focuses on defining backup actions that we believe human always considers taking to avoid an accident -- e.g., brake to avoid rear-ending the other agent. Given such a definition, we consider a safety constraint that guarantees safety as long as the human takes the appropriate backup actions when necessary to ensure safety. Then, we propose an algorithm that overrides an arbitrary given controller as needed to ensure that the robot is safe. We evaluate our approach in a simulated environment, interacting with both real and simulated humans.
翻译:确保人际互动机器人的安全非常重要,因为有可能造成人身伤害。关键的挑战是如何界定安全,说明复杂的人类行为,而不将人类作为不受限制的对手。我们提出了确保这些环境中安全的新方法。我们的方法侧重于界定我们认为人类总是认为避免事故的后备行动 -- -- 例如,刹车,避免再次将另一物剂倒下。根据这样一个定义,我们考虑一种安全限制,只要人类在必要时为确保安全采取了适当的后备行动,就保证安全。然后,我们提议一种算法,根据需要取代任意指定的控制器,以确保机器人的安全。我们评估我们在模拟环境中的做法,同时与真实的和模拟的人进行互动。