Search results for "Robotics"
showing 10 items of 484 documents
Using robotics construction kits as metacognitive tools: A research in an italian primary school
2010
The present paper is aimed at analyzing the process of building and programming robots as a metacognitive tool. Quantitative data and qualitative observations from a research performed in a sample of children attending an Italian primary school are described in this work. Results showed that robotics activities may be intended as a new metacognitive environment that allows children to monitor themselves and control their learning actions in an autonomous and self-centered way.
Educational Robotics to Improve Mathematical and Metacognitive Skills
2017
This paper describes the use of robotic kits as tools in developing mathematical and metacognitive skills, as the planning, reasoning and problem solving capabilities in young students. A sample of 30 students involved in an extracurricular laboratory based on robotics activities (10 meetings; three hours each, once a week). Quantitative and qualitative data showed that robotics activities may be intended as a new metacognitive environment that allows students to improve the attitude in mathematics, or increase the propensity to reflect on themselves and on their own learning, and higher-level control components, such as forecasting, planning, monitoring and evaluation exercises and problem…
Educational Robotics to develop of executive functions visual spatial abilities, planning and problem solving
2018
Educational robotics is an innovative learning tool that offers students the opportunities to develop higher-order thinking skills. This research aims to verify the effectiveness of educational robotics on the mental processes of planning and problem solving. Robotics education involved in a curricular laboratory (10 meetings, two hours each, once a week) with 15 children, attending their fifth year at primary school. The proposed methodology was divided into three phases: Pre-test, Practice and Post-Test. The main finding was a significant improvement in visuo-spatial attention and a significant effect on robot programming skills. These data provide scientific support to the hypothesis tha…
Aerial Spectrum Surveying: Radio Map Estimation with Autonomous UAVs
2020
Radio maps are emerging as a popular means to endow next-generation wireless communications with situational awareness. In particular, radio maps are expected to play a central role in unmanned aerial vehicle (UAV) communications since they can be used to determine interference or channel gain at a spatial location where a UAV has not been before. Existing methods for radio map estimation utilize measurements collected by sensors whose locations cannot be controlled. In contrast, this paper proposes a scheme in which a UAV collects measurements along a trajectory. This trajectory is designed to obtain accurate estimates of the target radio map in a short time operation. The route planning a…
Autonomous maritime ecosystem : digital concepts and business case : results from the JYU TJTSM54 course on advanced topics on systems development
2019
INVESTIGATING PERCEPTUAL AND BIOLOGICAL FEEDBACKS IN HUMAN ROBOT INTERACTION
The Human Robot Interaction (HRI) is a new discipline that has attracted more attention in the last years due to the increasing presence of robots in people’s everyday life. It is a field of study dedicated to understanding, designing, and evaluating robotic systems for use by or with humans. Interaction, by definition, requires communication between robots and humans. A social robot is an autonomous or semi-autonomous robot capable of interacting and communicating with humans or other autonomous physical agents following social behaviours and rules related to its specific role. In order to interact effectively with the human being, a robot must be able to decode the complex system of human…
Brain Controlled Architecture for Human-Human Interaction Mediated by a Humanoid Robot
2017
This paper presents an Assistive social robots architecture designed for social interaction with humans, mediated by a humanoid robot. The architecture has been designed for being used by people with severe paralysis and the architecture has been tested by a user affected by amyotrophic lateral sclerosis (ALS) in a locked-in state. The system allows the patient to communicate with the stakeholders using a Brain Controlled Interface, based on Evoked Response Potentials (ERP), to express needing, feelings or writing phases. Stakeholders visualize messages sent by the patient on a GUI and use a tele operated humanoid robot as an avatar of them to extend their physical presence to interact with…
2019
Trust is a critical issue in human–robot interactions: as robotic systems gain complexity, it becomes crucial for them to be able to blend into our society by maximizing their acceptability and reliability. Various studies have examined how trust is attributed by people to robots, but fewer have investigated the opposite scenario, where a robot is the trustor and a human is the trustee. The ability for an agent to evaluate the trustworthiness of its sources of information is particularly useful in joint task situations where people and robots must collaborate to reach shared goals. We propose an artificial cognitive architecture based on the developmental robotics paradigm that can estimate…
A Robot Architecture Based on Higher Order Perception Loop
2009
The paper discusses the self-consciousness of a robot as based on higher order perceptions of the robot itself. In this sense, the first order perceptions of the robot are the immediate perceptions of the outer world of the robot, while higher order perceptions are the robot perceptions of its own inner world. The resulting architecture based on higher order perceptions has been implemented and tested in a project regarding a robotic touristic guide acting in the Botanical Garden of the University of Palermo.
Attention-Based Landmark Selection in Autonomous Robotics
2007
This paper describes a robotic architecture that uses visual attention mechanisms for autonomous navigation in unknown indoor environments. A foveation mechanism based on a bottom-up attention system allows the robot to autonomously select landmarks, defined as salient points in the camera images. Landmarks are memorized in a behavioral fashion by coupling sensing and acting to achieve a representation that is view and scale independent. Selected landmarks are stored in a topological map. During the navigation a top-down mechanism controls the attention system to achieve robot localization. Experiments and results show that our system is robust to noise and odometric errors, being at the sa…