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

Irfan, Bahar
Ramachandran, Aditi
Spaulding, Samuel
Kalkan, Sinan
Parisi, German I.
Gunes, Hatice
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).
2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021


Perpetual Robot Swarm: Long-Term Autonomy of Mobile Robots Using On-the-fly Inductive Charging
Arvin, Farshad; Watson, Simon; Turgut, Ali Emre; Espinosa, Jose; Krajnik, Tomas; Lennox, Barry (2018-12-01)
Swarm robotics studies the intelligent collective behaviour emerging from long-term interactions of large number of simple robots. However, maintaining a large number of robots operational for long time periods requires significant battery capacity, which is an issue for small robots. Therefore, re-charging systems such as automated battery-swapping stations have been implemented. These systems require that the robots interrupt, albeit shortly, their activity, which influences the swarm behaviour. In this p...
Generation and modification of 3D models with deep neural networks
Öngün, Cihan; Temizel, Alptekin; Department of Information Systems (2021-9)
Artificial intelligence (AI) and particularly deep neural networks (DNN) have become very hot topics in the recent years and they have been shown to be successful in problems such as detection, recognition and segmentation. More recently DNNs have started to be popular in data generation problems by the invention of Generative Adversarial Networks (GAN). Using GANs, various types of data such as audio, image or 3D models could be generated. In this thesis, we aim to propose a system that creates artificial...
Human aware navigation of a mobile robot in crowded dynamic environments
Hacınecipoğlu, Akif; Konukseven, Erhan İlhan; Department of Mechanical Engineering (2019)
As mobile robots start operating in dynamic environments crowded with humans, human-aware and human-like navigation is required to make these robots navigate safely, efficiently and in socially compliant manner. People can navigate in an interactive and cooperative fashion so that, they are able to find their path to a destination even if there is no clear path leading to it. This is clearly a dexterity of humans. But the mobile robots which have to navigate in such environments lack this feature. Even perf...
Alet (automated labeling of equipment and tools): A dataset for tool detection and human worker safety detection
Kurnaz, Fatih Can; Şahin, Erol; Kalkan, Sinan; Department of Computer Engineering (2020-8)
For humans and robots to be able to collaborate in different tasks in the same real-life environments, robots need to be able to work with tools. This requires that they can recognize the tools, and identify their positions and orientations so that they can use them for their goals. However, neither robotics nor the computer vision community had a dataset to facilitate addressing these problems in real-life environments. In this study, we address these challenges and provide a dataset dedicated to detecting...
Güneşdoğdu, Ali Nuri; Şahin, Erol; Acartürk, Cengiz; Department of Computer Engineering (2022-8-31)
Collaborative robots, a.k.a cobots, are industrial robotic manipulators that have no built-in capabilities for social human-robot interaction (HRI). In the thesis, we implemented breathing for a cobot as a social behavior inspired by the secondary action animation principle. We automatically generated breathing of a cobot as HRI behavior with its waveform borrowed from human breathing; its amplitude and frequency are parametrized. We conducted a user study to measure the effect of parameters of breathing b...
Citation Formats
B. Irfan, A. Ramachandran, S. Spaulding, S. Kalkan, G. I. Parisi, and H. Gunes, “Lifelong learning and personalization in long-term human-robot interaction (LEAP-HRI),” presented at the 2021 ACM/IEEE International Conference on Human-Robot Interaction, HRI 2021, Virtual, Online, Amerika Birleşik Devletleri, 2021, Accessed: 00, 2021. [Online]. Available: