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
Category: Dissemination Activities
Understanding Event-Based Data Formats: Prophesee and iNivation Event Camera
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
Trust in human-robot interaction: A measurement issue that stems from a theoretical gap?
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?
Theory of Mind to infer mental states
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 [1]. 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
INFLUENCE OF KINESTHETIC TEACHING (KT) ON HUMAN-ROBOT INTERACTION
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
Understanding, perceiving and interacting
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
The Path to Transparent Human-Robot Collaboration
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
Robot autonomy and user involvement, the two key facets of robot adaptation?
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?
Anticipating the Future: How AI Can Revolutionize Human-Robot Collaboration
In our ever-evolving world, the integration of artificial intelligence (AI) into our daily lives continues to shape our future. One fascinating area of AI research is Long-Term Action Anticipation, a concept that has the potential to enhance human-robot collaboration for better proactive robot behavior. Imagine a world where robots not only understand what we're doing … Continue reading Anticipating the Future: How AI Can Revolutionize Human-Robot Collaboration
Unlocking the future of human-robot collaboration: understanding human intentions
In recent years, research in robotics has made remarkable strides, capturing our imaginations with the promise of machines working alongside humans to enhance our daily lives. One of the key advancements that is driving this innovation is Human-Robot Interaction (HRI), a field dedicated to improving the way robots assist us in various tasks. But what's … Continue reading Unlocking the future of human-robot collaboration: understanding human intentions