The paper explores the potential and challenges of transferability in Human-Robot Interaction (HRI) research. It discusses the importance of transferability for the success of HRI research, the potential benefits of…
Continue readingThis paper presents a novel model for a robot’s behavioral adaptation in its long-term interaction with humans, integrating dynamic robot role adaptation with principles of flow experience from psychology. The…
Continue readingThe article introduces the Robotic Signal Designer (RoSiD) tool developed to improve human-robot interaction. The tool allows users to design signals for robots based on their communicative preferences. It uses…
Continue readingThe article ‘Understanding Large-Language Model (LLM)-powered Human-Robot Interaction’ by Callie Y. Kim, Christine P Lee, and Bilge Mutlu explores the potential of large-language models (LLMs) in improving human-robot interaction. The…
Continue readingThis research evaluates the quality of text-to-speech (TTS) voices in delivering mindfulness-based therapies. It explores the potential of technology in enhancing these therapies, focusing on the user-perceived quality of TTS…
Continue readingThe paper discusses the evolution of Mixed Reality (MR) in inspiring new patterns of robot manipulation for advanced Human-Robot Interaction. The focus is on establishing information exchange platforms and robot…
Continue readingThis paper presents a new conversational model for human-robot interaction that uses a graph-based representation of the dialogue state. The knowledge graph is continuously updated with new observations from the…
Continue readingThis article introduces a hybrid approach for learning Human-Robot Interaction (HRI) from Human-Human Interactions (HHI). The method uses Hidden Markov Models (HMMs) as the latent space priors for a Variational…
Continue readingThe study investigates whether incorporating human preferences in Reinforcement Learning (RL) can enhance the transparency of robot behaviours. A shielding mechanism is integrated into the RL algorithm to monitor the…
Continue readingThis paper discusses the importance of safety in autonomous systems, particularly in human-robot interactions. It introduces the Multimodal Safe Set Algorithm (MMSSA) which deals with multimodal uncertainty, a situation where…
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