Mobile robotics is an interesting and challenging emerging field in computer science. To properly achieve true autonomy, a robot must be able to determine where it is in relationship to a global frame of reference and it must be able to do so with a minimum of interaction from human operators and impose as few constraints on its surroundings as possible. The uncertain nature of mobility and perception requires that advanced probabilistic inference techniques be applied to minimize error.K = p[t] Ca#39;( C p[t] Ca#39; + R )-1 With: p[t] = A p[t a 1] Aa#39; + Q And Q aamp; R the covariance matrices of Ia and Im, above. Once this ... Many interesting and important estimation problems do not satisfy the tight constraints required to employ the Kalman filter.
|Title||:||Use of Wireless Signal Characteristics for Mobile Robotics Localization and Access Point Mapping|
|Publisher||:||ProQuest - 2008|