Researchers created a cross-cultural corpus of annotated verbal and nonverbal behaviors in receptionist interactions. The corpus includes native speakers of American English and Arabic role-playing scenarios at university reception desks in Doha, Qatar, and Pittsburgh, USA. The manually annotated nonverbal behaviors include gaze direction, hand gestures, torso positions, and facial expressions. Why it matters: This resource can be valuable for the human-robot interaction community, especially for building culturally aware AI systems.
Tetsunari Inamura's talk explores using VR to collect HRI data and tailor assistive robotic functionalities to individual users. He discusses symbol emergence via multimodal interaction, interactive behavior generation through symbol manipulation, and VR for data collection. The talk emphasizes long-term human capability enhancement and avoiding over-reliance on technology. Why it matters: This research promotes independence and growth in human-robot interactions, potentially revolutionizing assistive technologies in the region.
Gus Xia, assistant professor of machine learning at MBZUAI, is exploring how teaching robots music can enhance their interaction with humans. Xia collaborates with robots on musical compositions as part of this research. He also holds affiliations at NYU Shanghai, Tandon, CILVR, and MARL, and has a Ph.D. from CMU. Why it matters: This interdisciplinary approach could lead to more intuitive and empathetic AI systems in the future.
Sami Haddadin from the Technical University of Munich (TUM) discusses a shift in robotics towards machines that autonomously develop their own blueprints and controls. He highlights advancements driven by human-centered design, soft control, and model-based machine learning, enabling human-robot collaboration in manufacturing and healthcare. Haddadin also presents progress towards autonomous machine design and modular control architectures for complex manipulation tasks. Why it matters: This research has implications for advancing robotics and AI in the GCC region, especially in manufacturing and healthcare, by enabling safer and more efficient human-robot collaboration.
Dr. Jeffrey Schnapp from Harvard University discussed the shift from mobility to movability and human-centric autonomy in robotics at KAUST's 2018 Winter Enrichment Program. He presented Gita, a cargo robot designed to move like humans and support pedestrian lifestyles. Piaggio Fast Forward, Schnapp's company, aims to create robots that coexist with humans and enhance the quality of life in pedestrian-friendly environments. Why it matters: This highlights KAUST's engagement with innovative robotics research and its focus on exploring human-robot interaction for future urban development in Saudi Arabia.