Control system performance is highly dependent on the quality of sensor information
available. In a growing number of applications, however, the control task must be …

This paper presents the design, analysis, and experimental validation of a globally
asymptotically stable (GAS) filter for simultaneous localization and mapping (SLAM), with …

A growing number of control problems are concerned with vehicles that have insufficient
sensors to directly measure all system states and require active control actuation to observe …

This paper addresses the problem of simultaneous localization, mapping, and moving object
tracking (SLAMMOT) with application to unmanned aerial vehicles inside uncertain …

This paper addresses the problem of obtaining an inertial trajectory and map, with the
associated uncertainty, using the sensor-based map provided by a globally asymptotically …

A novel sensor-based filter for simultaneous localization and mapping (SLAM), featuring
globally asymptotically stable error dynamics, is proposed in a companion paper, with …

This paper presents the design, analysis, performance evaluation, and preliminary
experimental validation of a globally asymptotically stable (GAS) filter for simultaneous …

Biorobots, especially roach robots and rat robots, are great candidates for rescue and
search applications in tight spaces because of their excellent mobility and environmental …

In this research simultaneous localization and mapping (SLAM) problem of unmanned
systems which has emerged in last decade is identified by detecting SLAM algorithms …

Range-only simultaneous localization and mapping is addressed in this paper, through the
design, analysis, and experimental validation of a globally asymptotically stable (GAS) filter …