Lifelong learning and personalization in long-term human-robot interaction (LEAP-HRI)

Irfan B., Ramachandran A., Spaulding S., KALKAN S., Parisi G. I., Gunes H.

2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021, Virtual, Online, Amerika Birleşik Devletleri, 8 - 11 Mart 2021, ss.724-727 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1145/3434074.3444881
  • Basıldığı Şehir: Virtual, Online
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.724-727
  • Anahtar Kelimeler: Lifelong Learning, Continual Learning, Personalization, Long-Term Interaction, Human-Robot Interaction, Adaptation, Long-Term Memory, User Modeling, User Recognition
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

© 2021 Owner/Author.While most of the research in Human-Robot Interaction (HRI) focuses on short-term interactions, long-term interactions require bolder developments and a substantial amount of resources, especially if the robots are deployed in the wild. Robots need to incrementally learn new concepts or abilities in a lifelong fashion to adapt their behaviors within new situations and personalize their interactions with users to maintain their interest and engagement. The "Lifelong Learning and Personalization in Long-Term Human-Robot Interaction (LEAP-HRI)"Workshop aims to take a leap from the traditional HRI approaches towards addressing the developments and challenges in these areas and create a medium for researchers to share their work in progress, present preliminary results, learn from the experience of invited researchers and discuss relevant topics. The workshop extends the topics covered in the "Personalization in Long-Term Human-Robot Interaction (PLOT-HRI)"Workshop at the 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) and "Lifelong Learning for Long-term Human-Robot Interaction (LL4LHRI)"Workshop at the 29th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), and focuses on studies on lifelong learning and adaptivity to users, context, environment, and tasks in long-term interactions in a variety of fields (e.g., education, rehabilitation, elderly care, collaborative tasks, customer-oriented service and companion robots).