Search results for "Robot learning"
showing 10 items of 10 documents
A vision agent for mobile robot navigation in time-variable environments
2002
We present an architecture for mobile robot navigation based on Bayesian networks. The architecture allows a robot to plan the correct path inside an environment with dynamic obstacles. Interactions between the robot and the environment are based on a powerful vision agent. The results of simulations, showing the effectiveness of the approach, are described.
Comparative Study of the Mobile Learning Architectures
2016
International audience; With the emergence of mobile devices (Smart Phone, PDA, UMPC, game consoles, etc.), learning is changing from electronic learning (e-Learning) to mobile learning (m-learning). In fact, due to the mobility feature, it seems that the m-learning have to be adapted with the change within the context. Several researches addressed this issue and implemented a mobile learning environment to prove its usefulness and feasibility in various domains. In this article, we conduct a comparative study between a list of mobile learning architectures and methods that are presented in the literature. The performance of these architectures is evaluated based on several criteria, such a…
Distance Learning – Projecting a Learning Unit. Example of Good Practice
2013
Abstract Distance Learning is a flexible form of university education which focuses on students ‘self-study, the institution which organizes the study programme provides the students with the adequate learning resources. Designing a university course addressed to Distance Learning students represents a key point in the process of education. The purpose of our research is to specify the demands in designing a Distance Learning university course, examining and illustrating each aspect in designing a learning unit with the topic: The Concept of “Stylistic Field”. The learning material is designed according to established objectives, it is accessible, accurate, yet attractive in design, and it …
A cognitive architecture for robot self-consciousness
2008
Objective: One of the major topics towards robot consciousness is to give a robot the capabilities of self-consciousness. We propose that robot self-consciousness is based on higher order perception of the robot, in the sense that first-order robot perception is the immediate perception of the outer world, while higher order perception is the perception of the inner world of the robot. Methods and material: We refer to a robot cognitive architecture that has been developed during almost 10 years at the RoboticsLab of the University of Palermo. The architecture is organized in three computational areas. The subconceptual area is concerned with the low level processing of perceptual data comi…
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.
An Emphatic Humanoid Robot with Emotional Latent Semantic Behavior
2008
In this paper we propose an Entertainment Humanoid Robot model based on Latent Semantic Analysis, that tries to exhibit an emotional behavior in the interaction with human. Latent Semantic Analysis (LSA), based on vector space allows the coding of the words semantics by specific statistical computations applied to a large corpus of text. We illustrate how the creation and the use of this emotional conceptual space can provide a framework upon which to build “Latent Semantic Behavior” because it simulates the emotionalassociative capabilities of human beings. This approach integrates traditional knowledge representation with intuitive capabilities provided by geometric and sub-symbolic infor…
On the design of effective learning materials for supporting self-directed learning of programming
2012
This paper reports on the action research that studies how to implement self-directed learning of programming in the academic context. Based on our findings from the previous steps with this research agenda, we focus on the design of learning materials. That is, we aim to facilitate the students' self-directed learning by developing illustrative and concise materials that the students could use to efficiently develop theoretical understanding of the learning topics. In designing the materials, we will rely on the cognitive load theory as the guiding theoretical framework. The paper demonstrates the planning stage of our second action research cycle.
Ant Colony Models for a Virtual Educational Environment Based on a Multi-Agent System
2008
We have designed a virtual learning environment where students interact through their computers and with the software agents in order to achieve a common educational goal. The Multi-Agent System (MAS) consisting of autonomous, cognitive and social agents communicating by messages is used to provide a group decision support system for the learning environment. Learning objects are distributed in a network and have different weights in function of their relevance to a specific educational goal. The relevance of a learning object can change in time; it is affected by students', agents' and teachers' evaluation. We have used an ant colony behavior model for the agents that play the role of a tu…
Student knowledge and learning skill modeling in the learning environment `forces'In order to prevent further delays in publication this paper has be…
1998
Abstract In this paper we present a student module modeling knowledge states and learning skills of students in the field of Newtonian dynamics. Student data recorded during the exploratory activity in microworlds are used to infer mental representations concerning the concept of force. A fuzzy algorithm able to follow the cognitive states the student goes through in solving a task and to interpret the monitored changes is discussed.
The perception loop in CiceRobot, a museum guide robot
2009
The paper discusses a model of robot perception based on a comparison loop process between the actual and the expected robot input sensory data generated by a 3D robot/environment simulator. The perception loop process is operating in CiceRobot, a functional robot architecture implemented on an autonomous robot RWI B21 offering guided tours at the Archaeological Museum of Agrigento, Italy.