Search results for "Human-robot Interaction."
showing 10 items of 33 documents
Visually-Grounded Language Model for Human-Robot Interaction
2010
Visually grounded human-robot interaction is recognized to be an essential ingredient of socially intelligent robots, and the integration of vision and language increasingly attracts attention of researchers in diverse fields. However, most systems lack the capability to adapt and expand themselves beyond the preprogrammed set of communicative behaviors. Their linguistic capabilities are still far from being satisfactory which make them unsuitable for real-world applications. In this paper we will present a system in which a robotic agent can learn a grounded language model by actively interacting with a human user. The model is grounded in the sense that meaning of the words is linked to a…
A Topic Recognition System for Real World Human-Robot Conversations
2013
One of the main features of social robots is the ability to communicate and interact with people as partners in a natural way. However, achieving a good verbal interaction is a hard task due to the errors on speech recognition systems, and due to the understanting the natural language itself. This paper tries to overcome such kind of problems by presenting a system that enables social robots to get involved in conversation by recognizing its topic. Through the use of classical text mining approach, the presented system allows social robots to understand topics of conversation between human partners, enabling the customization of behaviours in their accordance. The system has been evaluated …
The design of interfaces for multi-robot path planning and control
2014
The field of human-robot interaction has evolved beyond issues concerning the design and development of one person controlling one robot to exploring HRI for groups of robots and teams. Our design research explores biologically-inspired motion that is initiated by a human operator, applied to a single or a small group of robots, and used to affect the motion and path planning of another subset of robots. This exploratory design study first created a taxonomy to categorize individual robot motions, looking at how they could be categorized and used as building blocks. We then combined individual motions with time and velocity as design variables to guide our interaction design. This work led …
Agents in dynamic contexts, a system for learning plans
2020
Reproducing the human ability to cooperate and collaborate in a dynamic environment is a significant challenge in the field of human-robot teaming interaction. Generally, in this context, a robot has to adapt itself to handle unforeseen situations. The problem is runtime planning when some factors are not known before the execution starts. This work aims to show and discuss a method to handle this kind of situation. Our idea is to use the Belief-Desire-Intention agent paradigm, its the Jason reasoning cycle and a Non-Axiomatic Reasoning System. The result is a novel method that gives the robot the ability to select the best plan.
AN EMOTIONAL ROBOTIC PARTNER FOR ENTERTAINMENT PURPOSES
2010
In this paper an emotional humanoid robot based on Latent Semantic Analysis is presented. The robot is capable of interacting and entertain human users through the exhibition of spontaneous and non-repetitive emotional behaviours. The Latent Semantic Analysis (LSA) paradigm, used to encode the semantics of words through a statistical analysis of a large corpus of text, is employed to build an emotional conceptual space that simulates the emotional associative capabilities of human beings, through “Latent Semantic Behaviours”. The LSA paradigm integrates traditional knowledge representation and intuitive capabilities provided by geometric and sub-symbolic information modelling. The effective…
Robot's Inner Speech Effects on Trust and Anthropomorphic Cues in Human-Robot Cooperation
2021
Inner Speech is an essential but also elusive human psychological process which refers to an everyday covert internal conversation with oneself. We argue that programming a robot with an overt self-talk system, which simulates human inner speech, might enhance human trust by improving robot transparency and anthropomorphism. For this reasons, this work aims to investigate if robot’s inner speech, here intended as overt self-talk, affects human trust and anthropomorphism when human and robot cooperate. A group of participants was engaged in collaboration with the robot. During cooperation, the robot talks to itself. To evaluate if the robot’s inner speech influences human trust, two question…
Robotics and Virtual Worlds: An Experiential Learning Lab
2013
Aim of the study was to investigate the cognitive processes involved and stimulated by educational robotics (LEGO® robots and Kodu Game Lab) in lower secondary school students. Results showed that LEGO® and KGL artifacts involve specific cognitive and academic skills. In particular the use of LEGO® is related to deductive reasoning, speed of processing visual targets, reading comprehension and geometrical problem solving; the use of KGL is related to visual-spatial working memory, updating skills and reading comprehension. Both technologies, moreover, are effective in the improvement of visual-spatial working memory. Implications for Human-Robot Interaction and BICA challenge are discussed.
Developing Self-Awareness in Robots via Inner Speech
2019
The experience of inner speech is a common one. Such a dialogue accompanies the introspection of mental life and fulfills essential roles in human behavior, such as self-restructuring, self-regulation, and re-focusing on attentional resources. Although the underpinning of inner speech is mostly investigated in psychological and philosophical fields, the research in robotics generally does not address such a form of self-aware behavior. Existing models of inner speech inspire computational tools to provide a robot with this form of self-awareness. Here, the widespread psychological models of inner speech are reviewed, and a cognitive architecture for a robot implementing such a capability is…
Action simulation in the human brain: Twelve questions
2013
Although the idea of action simulation is nowadays popular in cognitive science, neuroscience and robotics, many aspects of the simulative processes remain unclear from empirical, computational, and neural perspectives. In the first part of the article, we provide a critical review and assessment of action simulation theories advanced so far in the wider literature of embodied and motor cognition. We focus our analysis on twelve key questions, and discuss them in the context of human and (occasionally) primate studies. In the second part of the article, we describe an integrative neuro-computational account of action simulation, which links the neural substrate (as revealed in neuroimaging …