Artificial pheromone system using RFID for navigation of autonomous robots

2007 ◽  
Vol 4 (4) ◽  
pp. 245-253 ◽  
Author(s):  
Herianto ◽  
Toshiki Sakakibara ◽  
Daisuke Kurabayashi
Keyword(s):  
Autonomous Robots ◽  
Pheromone System ◽  
Artificial Pheromone

Extended Artificial Pheromone System for Swarm Robotic Applications

2019 ◽  
Author(s):  
Seongin Na ◽  
Mohsen Raoufi ◽  
Ali Emre Turgut ◽  
Tomáš Krajník ◽  
Farshad Arvin
Keyword(s):  
Pheromone System ◽  
Robotic Applications ◽  
Artificial Pheromone

scholarly journals Bio-inspired artificial pheromone system for swarm robotics applications

2020 ◽  
pp. 105971232091893
Author(s):  
Seongin Na ◽  
Yiping Qiu ◽  
Ali E Turgut ◽  
Jiří Ulrich ◽  
Tomáš Krajník ◽  
...  
Keyword(s):  
Swarm Robotics ◽  
State Of The Art ◽  
Rfid Tags ◽  
Robot Swarm ◽  
Pheromonal Communication ◽  
Pheromone System ◽  
Spatio Temporal ◽  
Effective Use ◽  
Robotic Applications ◽  
Artificial Pheromone

Pheromones are chemical substances released into the environment by an individual animal, which elicit stereotyped behaviours widely found across the animal kingdom. Inspired by the effective use of pheromones in social insects, pheromonal communication has been adopted to swarm robotics domain using diverse approaches such as alcohol, RFID tags and light. COSΦ is one of the light-based artificial pheromone systems which can emulate realistic pheromones and environment properties through the system. This article provides a significant improvement to the state-of-the-art by proposing a novel artificial pheromone system that simulates pheromones with environmental effects by adopting a model of spatio-temporal development of pheromone derived from a flow of fluid in nature. Using the proposed system, we investigated the collective behaviour of a robot swarm in a bio-inspired aggregation scenario, where robots aggregated on a circular pheromone cue with different environmental factors, that is, diffusion and pheromone shift. The results demonstrated the feasibility of the proposed pheromone system for use in swarm robotic applications.

Extended Artificial Pheromone System for Swarm Robotic Applications

2019 ◽  
Author(s):  
Seongin Na ◽  
Mohsen Raoufi ◽  
Ali Emre Turgut ◽  
Tomáš Krajník ◽  
Farshad Arvin
Keyword(s):  
Pheromone System ◽  
Robotic Applications ◽  
Artificial Pheromone

LEARNING NAIVE PHYSICS BY VISUAL OBSERVATION: USING QUALITATIVE SPATIAL REPRESENTATIONS AND PROBABILISTIC REASONING

2001 ◽  
Vol 01 (03) ◽  
pp. 273-285 ◽  
Author(s):  
PAUL A. BOXER
Keyword(s):  
Bayesian Network ◽  
Probabilistic Reasoning ◽  
Autonomous Robots ◽  
Visual Observation ◽  
Spatial Representations ◽  
Physical Behavior ◽  
Naive Physics ◽  
Action At A Distance ◽  
General Physical ◽  
Test Scenarios

Autonomous robots are unsuccessful at operating in complex, unconstrained environments. They lack the ability to learn about the physical behavior of different objects through the use of vision. We combine Bayesian networks and qualitative spatial representation to learn general physical behavior by visual observation. We input training scenarios that allow the system to observe and learn normal physical behavior. The position and velocity of the visible objects are represented as qualitative states. Transitions between these states over time are entered as evidence into a Bayesian network. The network provides probabilities of future transitions to produce predictions of future physical behavior. We use test scenarios to determine how well the approach discriminates between normal and abnormal physical behavior and actively predicts future behavior. We examine the ability of the system to learn three naive physical concepts, "no action at a distance", "solidity" and "movement on continuous paths". We conclude that the combination of qualitative spatial representations and Bayesian network techniques is capable of learning these three rules of naive physics.

scholarly journals Symbiosis with artificial intelligence via the prism of law, robots, and society

2021 ◽  
Author(s):  
Stamatis Karnouskos
Keyword(s):  
Artificial Intelligence ◽  
Social Economic ◽  
Autonomous Robots ◽  
Law And Society ◽  
Citizenship Rights ◽  
Legal Entity ◽  
Profound Impact ◽  
The People ◽  
Physical Presence ◽  
And Robotics

AbstractThe rapid advances in Artificial Intelligence and Robotics will have a profound impact on society as they will interfere with the people and their interactions. Intelligent autonomous robots, independent if they are humanoid/anthropomorphic or not, will have a physical presence, make autonomous decisions, and interact with all stakeholders in the society, in yet unforeseen manners. The symbiosis with such sophisticated robots may lead to a fundamental civilizational shift, with far-reaching effects as philosophical, legal, and societal questions on consciousness, citizenship, rights, and legal entity of robots are raised. The aim of this work is to understand the broad scope of potential issues pertaining to law and society through the investigation of the interplay of law, robots, and society via different angles such as law, social, economic, gender, and ethical perspectives. The results make it evident that in an era of symbiosis with intelligent autonomous robots, the law systems, as well as society, are not prepared for their prevalence. Therefore, it is now the time to start a multi-disciplinary stakeholder discussion and derive the necessary policies, frameworks, and roadmaps for the most eminent issues.

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