Currently, the application of mobile ground robots spans a range of fields from surveillance,
search and rescue, exploration, agriculture, military among others. In unstructured and …

Location awareness is vital for emerging Internet-of-Things applications and opens a new
era for Localization-of-Things. This paper first reviews the classical localization techniques …

WiFi-Fingerprint is extensively utilized for indoor localization with the advent of the high-
density wireless networks deployment and research on ubiquitous intelligence …

In view of the long execution time and low execution efficiency of Support Vector Machine in
large-scale training samples, the paper has proposed the online incremental and …

As a fundamental issue in robotics academia and industry, indoor autonomous mobile
robots (AMRs) have been extensively studied. For AMRs, it is crucial to obtain information …

For existed problems on fire detection fields, the traditional recognition methods on fire
usually based on sensor's signals are easily affected by the external environment elements …

Due to the lack of transparent and friendly human-robot interaction (HRI) interface, as well
as various uncertainties, it is usually a challenge to remotely manipulate a robot to …

Focusing on generalized sensor combinations, this paper deals with the attitude estimation
problem using a linear complementary filter (CF). The quaternion observation model is …

Various datasets from sensors are used for object recognition, and different features may be
extracted from the same dataset in processing. Different datasets thus describe …

In this paper, a multilevel humanlike motion planning approach is proposed for indoor
mobile robots. Compared with existing approaches, the novelty of this paper is twofold: 1) …