Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Volume 9, Issue 3 (2020)

Market Analysis Pages: 1 - 1

Market Analysis on International Conference on Artificial Intelligence, Robotics and IOT

Jaswinder singh

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Research Article Pages: 1 - 6

Design of Low Cost Self-Navigation Rover Based on IOT

Santosh D Pandure and Pravin L Yannawar

DOI: 10.4172/2168-9695.1000187

World is moving towards connected system and Internet of things has transformed entire connected systems in a great extent. This research work will be utilizing the power of IoT mechanism based on raspberry pi framework to monitor the abandoned places such as place contaminated with radiations, gases or hazardous substances etc., without any human intervention. The proposed research work provides mechanism of rover which is able to monitor/ survey the place with self-navigation mechanism as well as it will capable to revert/post the live video feed of the area which is under observation to remote server. GPS installed on the rover helps it to mark its presences on the map so that we can locate the position of rover very easily. This research work will be useful to monitor the places from unauthorized persons in public and private sectors.

Research Article Pages: 1 - 5

Hybrid Gravity Gradient Inversion-PSO algorithm for Motion Planning of Mobile Robots

Meng Wu and Lihua Yang

Motion planning is a common task required to be fulfilled by robots. A novel strategy combining particle swarm optimization and gravity gradient inversion algorithm is proposed for motion planning of mobile robots. Particle Swarm Optimization (PSO) is employed to do motion planning and fitness function in PSO is built based on gravity gradient inversion algorithm. The relative distance and orientation between each particle and the center of an obstacle is calculated by gravity gradient inversion algorithm, then, a fitness function is built based on the distance and orientation. The proposed strategy is validated by the simulation and experiment results.

Research Article Pages: 1 - 6

Research on Hierarchy Structure Generation Method of Ontology Knowledge Pan-concept in Agriculture

Yang Yang, Chen Kong, Chao Liu and Shao-wen Li

DOI: 10.4172/2168-9695.1000166

In this paper, a hierarchy building method of an uncertain ontology concept based on cloud transformation is presented. First, extracting a qualitative concept from the database through cloud transformation; second, improving the original concept leaping algorithm to obtain a synthetically formalized expression of the coarser-grained uncertain concept, which makes the algorithm-output concept hierarchy more realistic; Finally, analyzing the tea science data with this method to extract a qualitative concept and build the concept hierarchy. The experimental results show that the qualitative concept can be more accurately extracted and characterized with this method, and the concept based on the cloud model can simultaneously express its randomness and fuzziness, which makes the ontology built based on these concepts to describe the concept model more accurately and helps to objectively build agricultural ontology.


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