The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
As robots increasingly operate alongside people in open-ended environments, ensuring alignment with human values and calibrated trust has become a core technical requirement. Yet the communities working on robot learning, human-robot interaction, and AI alignment remain fragmented, with inconsistent measurement practices and absent dynamic trust benchmarks. The HART workshop brings together researchers from these communities to establish shared vocabulary, compare evaluation approaches, and identify research directions for building reliable, aligned robotic systems. Through keynote, paper presentations, and structured discussion, the workshop will surface open problems and produce a post-workshop white paper summarising priority direction for trustworthy human-robot collaboration.
Call for a Short Paper (2 pages max)
Deadline: 21st August 2026
Organizing Team
Samuele Vinanzi
Muhammad Aitsam
Marjory Da Costa Abreu
Imene Tarakli
Federico Tavella
Agenda (Tentative)
Keynote Speaker
Fernando E. Casado is an AI and robotics researcher at Imperial College London, with over seven years of experience developing machine learning solutions and robotic systems. His research focuses on robot learning and user modelling for assistive technologies, including smart wheelchairs and collaborative robotic arms.