Scholarlink

We are developing Indy, a companion robot that aims to help people in their lives. This requires that Indy interacts and learns from experiences on their environment. This type of long-term cognition poses many challenges, for example, in deciding how and for how long the robot will “store” memories from multimodal observation for life-long learning. We have designed a memory system inspired by a cognitive framework, to help the robot remember important/relevant memories over long periods of time by forgetting irrelevant data. This includes heuristics inspired by cognitive psychology to determine when to “forget” information. In this demonstration, we show our first proof of concept for a “Narrative Memory,” a first-person narration of Indy’s actions and interactions. We use Large-Language Models (LLMs) to create an narrative episodes, and then progressively summarize them over time as a form of “forgetting”.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Using Language Models to Generate and Forget the Narrative Memories of an Assistive Robot

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Angel F. Garcia Contreras,
  • Wen-Yu Chang,
  • Seiya Kawano,
  • Yun-Nung Chen,
  • Koichiro Yoshino

摘要

We are developing Indy, a companion robot that aims to help people in their lives. This requires that Indy interacts and learns from experiences on their environment. This type of long-term cognition poses many challenges, for example, in deciding how and for how long the robot will “store” memories from multimodal observation for life-long learning. We have designed a memory system inspired by a cognitive framework, to help the robot remember important/relevant memories over long periods of time by forgetting irrelevant data. This includes heuristics inspired by cognitive psychology to determine when to “forget” information. In this demonstration, we show our first proof of concept for a “Narrative Memory,” a first-person narration of Indy’s actions and interactions. We use Large-Language Models (LLMs) to create an narrative episodes, and then progressively summarize them over time as a form of “forgetting”.