论文标题
“你能做到吗？”在任务之前，之中和之后，与自动机器人进行自我评估对话
"Can you do this?" Self-Assessment Dialogues with Autonomous Robots Before, During, and After a Mission
论文作者
论文摘要
具有复杂功能的自主机器人可以使人类教练难以评估其能力和能力。因此，未来重要的机器人具有以下能力：内省其功能并评估其任务绩效。内省允许机器人确定它可以完成的和自我评估，因此机器人可以估计其在给定任务下将完成的可能性。我们介绍了一个内省和自我评估的一般框架，该框架使机器人在任务之前，之中和之后都可以进行基于任务和绩效的对话。然后，我们在认知机器人的腹C架构中意识到框架的各个方面，最后在NAO机器人上展示了概念验证演示，显示其自我评估能力之前，之中和之后的任务。
Autonomous robots with sophisticated capabilities can make it difficult for human instructors to assess its capabilities and proficiencies. Therefore, it is important future robots have the ability to: introspect on their capabilities and assess their task performance. Introspection allows the robot to determine what it can accomplish and self-assessment allows the robot estimate the likelihood it will accomplish at given task. We introduce a general framework for introspection and self-assessment that enables robots to have task and performance-based dialogues before, during, and after a mission. We then realize aspects of the framework in the cognitive robotic DIARC architecture, and finally show a proof-of-concept demonstration on a Nao robot showing its self-assessment capabilities before, during, and after an instructed task.
