من الناحية المثالية، يشارك الأشخاص الذين ينقلون معا في الفضاء الداخلي المعقد نموذجا عقليا يسهل التفسير.تقارير الورقة هذه عن نظام تحكم روبوت يعتمد طراز العالم المعرفي على التمويل المكاني الذي يعمم على بياناته الإدراكية.بالنظر إلى وجود هدف، يقوم نظام التحكم في صياغة خطط متعددة، ولكل منها متري ذات صلة بالنماذج، وينشط بينها.نتيجة لذلك، يمكن أن توفر لغة طبيعية مفهومة بسهولة حول نوايا الروبوت والثقة، وتوليد تفسيرات متنوعة ومتعاكة تشير إلى النموذج المكاني المكتسب.النتائج التجريبية في البيئات الكبيرة المعقدة توضح قدرة الروبوت على توفير تفسيرات سهلة الاستخدام في اللغة الطبيعية.
Ideally, people who navigate together in a complex indoor space share a mental model that facilitates explanation. This paper reports on a robot control system whose cognitive world model is based on spatial affordances that generalize over its perceptual data. Given a target, the control system formulates multiple plans, each with a model-relevant metric, and selects among them. As a result, it can provide readily understandable natural language about the robot's intentions and confidence, and generate diverse, contrastive explanations that reference the acquired spatial model. Empirical results in large, complex environments demonstrate the robot's ability to provide human-friendly explanations in natural language.
References used
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