Personalized robots learn about each user’s specific needs and abilities, to adapt their behaviors accordingly (Matarić & Scassellati, 2016). Robots that can adapt and personalize their behaviors come with advantages, but they also raise several ethical issues. This article offers a brief overview on some of the ethical challenges surrounding personalized robots, focusing on privacy, … Continue reading Personalized robots: the ethical issues
ESR Post Blog
SOCIAL ROBOTS AND FACIAL EMOTIONS
Humans express emotion through various media. Humans use their faces to present internal affective states. Humans use speech to express emotion as well. Among various types of expressions of emotions, facial expressions are predominant. Various expressions displayed on humans' faces represent different cognitive processes. In communicative or interactive conditions, humans can recognize the emotion being … Continue reading SOCIAL ROBOTS AND FACIAL EMOTIONS
How Theory of Mind Enhances Transparency in Human-Robot Interaction
Imagine a world where robots are as common as smartphones. These robots help us with daily tasks, work alongside us, and even provide companionship. However, as much as they are part of our lives, there is often a disconnect. We see them move, act, and decide, yet we wonder, "Why did it do that?" One … Continue reading How Theory of Mind Enhances Transparency in Human-Robot Interaction
How emotions affect human-robot interactions
Robots are becoming more and more present in our daily lives, especially in crowded and dynamic environments. But how do they know how to behave around us? How do they respect our social norms and personal boundaries? And how do our emotions influence the way we interact with them? These are some of the questions … Continue reading How emotions affect human-robot interactions
Dialogue Exchange During Vision-and-Language Navigation
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
Neuromorphic Computing for Interactive Robotics: A Systematic Review
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
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
The Future Classroom: Navigating the World of Social Robots in Education
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 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