Smart agents must possess the ability to interact with humans or other agents in their environment. We have proposed a computational model that can efficiently interact with an oracle while navigating in an unknown indoor environment. In this model, when the agent gets confused regarding where it should go, it prompts the dialogue model to … Continue reading DIALOGUE EXCHANGE DURING VISION-AND-LANGUAGE NAVIGATION
Modeling functionalities of the brain in human-robot interaction contexts requires a real-time understanding of how each part of a robot (motors, sensors, emotions, etc.) works and how they interact all together to accomplish complex behavioural tasks while interacting with the environment. Human brains are very efficient as they process information using event-based impulses also known … Continue reading Neuromorphic Computing for Interactive Robotics: A Systematic Review
In recent times, event-based cameras have emerged as a focal point in the realms of computer vision and robotics, thanks to their distinct features and superiorities when compared to conventional frame-based cameras. These innovative sensors, including Prophesee and DVS (Dynamic Vision Sensor), adopt a fundamentally different operating principle. Instead of capturing images at a predetermined … Continue reading Understanding Event-Based Data Formats: Prophesee and iNivation Event Camera
As we step into the future of education, the classroom landscape might undergo a remarkable transformation, influenced significantly by the advent of social robots. Social robots are not just tools but partners in the educational journey, offering unique opportunities for interactive learning, personalised instruction, and fostering social skills among students. /*! elementor - v3.19.0 - … Continue reading The Future Classroom: Navigating the World of Social Robots in Education
Trust is probably one of the most complicated construct I have ever faced as a psychologist. It is this kind of phenomenon that everyone experiences on a daily basis, and can identify properly when experiencing it, which yet remains difficult to grasp scientifically. What is trust exactly? Where does it come from? How does it … Continue reading Trust in human-robot interaction: A measurement issue that stems from a theoretical gap?
As mentioned in an older post, the Theory of Mind is the ability of people to infer their own and other mental states, such as knowledge, beliefs, intentions or desires . This notion has only been recently studied in robotics to enable autonomous systems to predict human behaviour when interacting with them and adapt their … Continue reading Theory of Mind to infer mental states
Nowadays, robots are increasingly integrated into our daily life, from industrial Human-Robot collaboration settings (Matheson et al., 2019) to robots assigned to household chores or companion robots that are expected to emotionally and cognitively understand and interact with their users. They are transitioning from being seen as simple tools to being seen as interactive collaborators. … Continue reading INFLUENCE OF KINESTHETIC TEACHING (KT) ON HUMAN-ROBOT INTERACTION
In the emerging field of personal robotics, the path to widespread adoption faces significant challenges. While personal robots offer immense potential for assisting individuals in both domestic and public environments, their success depends on effective human-robot interaction (HRI). Central to this interaction is the need for personalised communication styles tailored to individual user preferences and … Continue reading Understanding, perceiving and interacting
In an age where robots and Artificial Intelligence (AI) are increasingly becoming a part of our daily lives, the quest for seamless human-robot interaction (HRI) has taken centre stage. The essence of this journey lies not just in enhancing the physical prowess of robots but in bridging the communication divide, enabling these machines to interact … Continue reading The Path to Transparent Human-Robot Collaboration
In my first article in the blog from PERSEO project, I have introduced my project distinguishing personalization from customization. As a reminder, personalization is a system-driven sort of adaptation where the robot autonomously adapts to its user. Customization is a user-driven adaptation process where the user adapts the robot to their own preferences and needs. … Continue reading Robot autonomy and user involvement, the two key facets of robot adaptation?