Publication Type : Conference Paper
Publisher : 2015 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2015
Source : 2015 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2015, Institute of Electrical and Electronics Engineers Inc. (2015)
Url : https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964796134&partnerID=40&md5=470c4b223a73081ee2a39770f1e4e175
ISBN : 9781479999859
Keywords : Autonomous Mobile Robot, Clustering, Clustering accuracy, Data mining, Data transformation, Dynamic time warping, Metadata, Robotic environments, Robotics, Robots, Straight-line paths, Time series, Time series analysis, Time-series data
Campus : Bengaluru
School : Department of Computer Science and Engineering, School of Engineering
Department : Computer Science, Mathematics
Year : 2015
Abstract : Autonomous mobile robots are increasingly used in many application areas. In most applications, they have to explore and gather knowledge about the environment they are deployed in. These robots transfer real time data about the environment continuously. This paper discusses a set of experiments that have been carried out to simulate various robotic environments. A robot attached with four sensors is used to collect information about the environment as the robot moves in multiple straight line paths. Time series data collected from these experiments are clustered using data mining techniques. Experimental results show clustering accuracies vary depending on the number of clusters formed. © 2015 IEEE.
Cite this Research Publication : G. Radhakrishnan, Dr. Deepa Gupta, Sindhuula, S., Khokhawat, S., and Dr. T.S.B. Sudarshan, “Experimentation and analysis of time series data from multi-path robotic environment”, in 2015 IEEE International Conference on Electronics, Computing and Communication Technologies, CONECCT 2015, 2015.