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Understanding Human-Robot Bonding to Optimize Personal Support

Network

 
 

ROBOT-BOND isn’t just about studying human-robot bonding, it’s about shaping the future of the field by building a strong, connected research community.

Our mission is to create an interdisciplinary network where experts from diverse fields can collaborate, share insights, and push the boundaries of human-robot interaction. Since human-robot bonding is inherently interdisciplinary, we actively engage with research groups, institutions, and organizations across various domains to foster collaboration.

Beyond our dedicated task forces, which focus on specific research challenges, we also maintain broader collaborations with research teams, academic institutions, and industry partners. These connections strengthen our collective expertise and open new opportunities for advancing the field.

On this page, you will find our collaborators and relevant institutions, reflecting our commitment to interdisciplinary exchange and collective progress in human-robot interaction.

 
 
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NETWORK INSTITUTE

The Network Institute focuses on interdisciplinary research to understand, challenge, and improve the Digital Society, exploring the interaction between digital technologies and societal challenges. Their mission involves promoting inclusivity, sustainability, and democratic participation while fostering collaboration across disciplines to address issues such as digital inequality, disinformation, and technological impact.

Digital media and behavior lab

The Digital Media and Behaviour Lab focuses on exploring how digital technology reshapes various aspects of life, including social interactions, labor, caregiving, politics, and leisure. Their mission is to develop skills, guidelines, and strategies that harness digital technology to address societal challenges and promote a sustainable, prosocial, and resilient future.

Human-centered robotics

The Human-Centered Robotics research group focuses on the foundational methodologies and cutting-edge technologies that enable intelligent robotic systems to seamlessly operate in complex, time-varying environments. Research within the group spans various domains including mechatronic design, perception, learning, and control, with the goal of addressing the diverse challenges inherent in human-robot cooperation and physical/social human-robot interaction.