scholarly journals A Cognitive Robotic System for a Human-Following Robot

2020 ◽  
Author(s):  
Chien Van Dang ◽  
Heungju Ahn ◽  
Hyeon C. Seo ◽  
Sang C. Lee
Keyword(s):  
Operating System ◽  
Cognitive Architecture ◽  
Current Situation ◽  
Robotic System ◽  
Target Person ◽  
Movement Direction ◽  
Agent Based ◽  
Computational Psychology ◽  
Window Approach ◽  
Cognitive Robotic

In this paper we propose a cognitive robotic system that utilizes computational psychology (the Soar cognitive architecture) and an obstacle avoidance method (modified dynamic window approach) in ROS (Robot Operating System) platform for controlling a mobile robot. This system is applied to perform a task of human-following, aiming to help the robot navigate itself to the target person avoiding collision. A cognitive agent based on Soar cognitive architecture is created to reason its current situation and make decisions on movement direction such as go-straight, turn-left or turn-right, whereas the dynamic window approach is modified to avoid collision by computing appropriate velocities for driving the robot motors. To the end, a part of implementation is presented to describes how the system works.

scholarly journals A Survey on Situational Awareness of Ransomware Attacks—Detection and Prevention Parameters

2019 ◽  
Vol 11 (10) ◽  
pp. 1168 ◽  
Author(s):  
Juan A. Herrera Silva ◽  
Lorena Isabel Barona López ◽  
Ángel Leonardo Valdivieso Caraguay ◽  
Myriam Hernández-Álvarez
Keyword(s):  
Operating System ◽  
Current Literature ◽  
Situational Awareness ◽  
Early Stage ◽  
Rapid Identification ◽  
Current Situation ◽  
Research Field ◽  
Future Challenges ◽  
Network Communications

In recent years, cybercrime activities have grown significantly, compromising device security and jeopardizing the normal activities of enterprises. The profits obtained through intimidation and the limitations for tracking down the illegal transactions have created a lucrative business based on the hijacking of users’ files. In this context, ransomware takes advantage of cryptography to compromise the user information or deny access to the operating system. Then, the attacker extorts the victim to pay a ransom in order to regain access, recover the data, or keep the information private. Nowadays, the adoption of Situational Awareness (SA) and cognitive approaches can facilitate the rapid identification of ransomware threats. SA allows knowing what is happening in compromised devices and network communications through monitoring, aggregation, correlation, and analysis tasks. The current literature provides some parameters that are monitored and analyzed in order to prevent these kinds of attacks at an early stage. However, there is no complete list of them. To the best of our knowledge, this paper is the first proposal that summarizes the parameters evaluated in this research field and considers the SA concept. Furthermore, there are several articles that tackle ransomware problems. However, there are few surveys that summarize the current situation in the area, not only regarding its evolution but also its issues and future challenges. This survey also provides a classification of ransomware articles based on detection and prevention approaches.

scholarly journals A Study on the Effect of Parameters for ROS Motion Planer and Navigation System for Indoor Robot

2021 ◽  
Vol 1 (1) ◽  
pp. 29-36
Author(s):  
Chen Zheng Looi ◽  
Danny Wee Kiat Ng
Keyword(s):  
Operating System ◽  
Service Robot ◽  
Dijkstra Algorithm ◽  
Elastic Band ◽  
Office Environment ◽  
Robot Operating System ◽  
The Past ◽  
Navigation Algorithms ◽  
The Common ◽  
Window Approach

In the past decades, the service robot industry had risen rapidly. The office assistant robot is one type of service robot used to assist officers in an office environment. For the robot to navigate autonomously in the office, navigation algorithms and motion planners were implemented on these robots. Robot Operating System (ROS) is one of the common platforms to develop these robots. The parameters applied to the motion planners will affect the performance of the Robot. In this study, the global planners, A* and Dijkstra algorithm and local planners, Dynamic Window Approach (DWA) and Time Elastic Band (TEB) algorithms were implemented and tested on a robot in simulation and a real environment. Results from the experiments were used to evaluate and compare the performance of the robot with different planners and parameters. Based on the results obtained, the global planners, A* and Dijkstra algorithm both can achieve the required performance for this application whereas TEB outperforms DWA as the local planner due to its feasibility in avoiding dynamic obstacles in the experiments conducted.

scholarly journals MERLIN a Cognitive Architecture for Service Robots

2020 ◽  
Vol 10 (17) ◽  
pp. 5989
Author(s):  
Miguel Á. González-Santamarta ◽  
Francisco J. Rodríguez-Lera ◽  
Claudia Álvarez-Aparicio ◽  
Ángel M. Guerrero-Higueras ◽  
Camino Fernández-Llamas
Keyword(s):  
Operating System ◽  
Cognitive Architecture ◽  
Public Spaces ◽  
Service Robots ◽  
Hybrid Architecture ◽  
Cognitive Architectures ◽  
Robot Operating System ◽  
Robot Behavior ◽  
Short And Long Term

Many social robots deployed in public spaces hide hybrid cognitive architectures for dealing with daily tasks. Mostly, two main blocks sustain these hybrid architectures for robot behavior generation: deliberative and behavioral-based mechanisms. Robot Operating System offers different solutions for implementing these blocks, however, some issues arise when both are released in the robot. This paper presents a software engineering approach for normalizing the process of integrating them and presenting them as a fully cognitive architecture named MERLIN. Providing implementation details and diagrams for established the architecture, this research tests empirically the proposed solution using a variation from the challenge defined in the SciRoc @home competition. The results validate the usability of our approach and show MERLIN as a hybrid architecture ready for short and long-term tasks, showing better results than using a by default approach, particularly when it is deployed in highly interactive scenarios.

Norm and Social Compliance

2010 ◽  
Vol 2 (1) ◽  
pp. 50-62 ◽  
Author(s):  
Marco Campennì ◽  
Federico Cecconi ◽  
Giulia Andrighetto ◽  
Rosaria Conte
Keyword(s):  
Mental Representations ◽  
Cognitive Architecture ◽  
Agent Architecture ◽  
Agent Based ◽  
Norm Compliance ◽  
Simulation Based ◽  
The Difference ◽  
The Impact ◽  
Norm Emergence

The necessity to model the mental ingredients of norm compliance is a controversial issue within the study of norms. So far, the simulation-based study of norm emergence has shown a prevailing tendency to model norm conformity as a thoughtless behavior, emerging from social learning and imitation rather than from specific, norm-related mental representations. In this article, the opposite stance - namely, a view of norms as hybrid, two-faceted phenomena, including a behavioral/social and an internal/mental side - is taken. Such a view is aimed at accounting for the difference between norms, on one hand, and either behavioral regularities (conventions) on the other. After a brief presentation of a normative agent architecture, the preliminary results of agent-based simulations testing the impact of norm recognition and the role of normative beliefs in the emergence and stabilization of social norms are presented and discussed. We focused our attention on the effects which the use of a cognitive architecture (namely a norm recognition module) produces on the environment.

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