Long-Term Human-Humanoid Co-Adaptation
3rd Workshop on Real-World Physical and Social Human-Robot Interaction in the 2026 IEEE-RAS 25th International Conference on Humanoid Robots (Humanoids), 6th December 2026, California, USA.
The website for the first edition of this workshop at IEEE-Humanoids 2024, featuring proceedings, accepted papers, and a picture gallery, can be accessed at: https://rwhri.github.io/Humanoids2024_workshop/
The website for the second edition of this workshop at IEEE-Humanoids 2025, featuring proceedings, accepted papers, and a picture gallery, can be accessed at: https://rwhri.github.io/Humanoids2025_workshop/
The workshop will take place in a hybrid mode and available for online participants via Microsoft Teams
Thanks to their physical capabilities, humanoid robots have the potential to assist humans in a wide range of scenarios - homes, hospitals, public spaces, and workplaces. Today, there is a growing expectation for richer, more natural, and even personalized forms of interaction. Humanoid robots must not only perceive and interpret diverse human cues, but also respond in ways that are context-aware, socially intelligent, and acceptable to users. Achieving this requires moving beyond short-term interaction toward long-term human-robot co-adaptation. To this end, robotic systems must incorporate mechanisms to recognize and overcome their own limitations, continuously adapting their behavior to users and learning from natural human inputs. This third edition of our Human-Robot Interaction workshop aims to foster discussion on how robots can represent and understand their own skills, and model human behavior and state. From these foundations, mutual adaptation is the follow-up, with learning from human guidance the next step to overcome their limits. From the user perspective, interactions must be felt as natural and intuitive as possible, personalizable, and they must address the ethical and societal implications associated with long-term human-robot coexistence. Special attention will be given to adaptive behaviors in humanoids, robot self-awareness, online and incremental learning, personalized interaction, shared autonomy, and cognitive and behavioral modeling of humans. The workshop will feature keynote talks by established researchers from academia and industry, an interactive panel discussion to actively engage the audience, and contributions from emerging researchers through short talks and a poster session.
- Physical and social human-humanoids interaction.
- Long-term human-robot co-adaptation and mutual learning.
- Assistive flexible and long-term robotic assistance technologies
- Embodied intelligence and adaptive behavior in humanoids
- Robot self-awareness of physical and social interaction skills
- Online and incremental learning for robot skill acquisition from human interventions
- Personalized human-robot interaction based on user preferences, abilities, and intent
- Shared autonomy and collaborative decision-making
- Cognitive and behavioral modeling of humans in interaction loops
- Real-world applications of physical and social HRI with a focus on the mentioned topics
- Ethical, societal, and legal implications of long-term human–robot interactions
This workshop is organized by:
- Dr. Davide Torielli, TU Delft, Netherlands.
- Dr. Damiano Gasperini, IIT, Italy.
- Dr. Parag Khanna, KTH, Sweden.
- Dr. Debasmita Ghose, Yale University, USA.
- Prof. Ziwei Wang, Lancaster University, UK.
- Dr. Angela Faragasso, Fingervision, Japan.
- Prof. Christian Smith, KTH, Sweden.
- Dr. Nikos Tsagarakis, IIT, Italy.
- Prof. Luka Peternel, TU Delft, Netherlands.
We acknolwedge the financial support by:
Dutch Research Council (NWO)
Digital Futures,KTH, Sweden
