TY - GEN
T1 - Application of Bayes data fusion in robot reliability assessment
AU - Taogeng, Zhou
AU - Dingguo, Sha
AU - Qun, Hao
PY - 2001
Y1 - 2001
N2 - The principal objective of data fusion, which is the process of combining or amalgamating information from multiple sensors and/or data sources, is to provide a solution that is either more accurate according to some measure of evaluation, or allows one to make additional inferences above and beyond those that could be achieved through the use of single source data alone. It is often the case that not enough data or samples to assess the robot reliability accurately. Hence the use of data fusion may be a solution for this problem. This paper describes a multisensor data fusion method based on Bayesian theory, and also gives its application in robot reliability assessment.
AB - The principal objective of data fusion, which is the process of combining or amalgamating information from multiple sensors and/or data sources, is to provide a solution that is either more accurate according to some measure of evaluation, or allows one to make additional inferences above and beyond those that could be achieved through the use of single source data alone. It is often the case that not enough data or samples to assess the robot reliability accurately. Hence the use of data fusion may be a solution for this problem. This paper describes a multisensor data fusion method based on Bayesian theory, and also gives its application in robot reliability assessment.
KW - Bayes
KW - Data fusion
KW - Reliability assessment
UR - https://www.scopus.com/pages/publications/0035786172
M3 - Conference contribution
AN - SCOPUS:0035786172
SN - 9628553445
T3 - Proceedings 2001 International Workshop on Bio-Robotics and Teleoperation
SP - 262
EP - 265
BT - Proceedings 2001 International Workshop on Bio-Robotics and Teleoperation
T2 - Proceedings 2001 International Workshop on Bio-Robotics and Teleoperation
Y2 - 27 May 2001 through 30 May 2001
ER -