In this paper, we propose an efficient and effective method to find arbitrarily oriented subspace clusters by mapping the data space to a parameter space defining the set of possi...
Abstract— We consider the problem of autonomously estimating position and orientation of an object from tactile data. When initial uncertainty is high, estimation of all six para...
Anna Petrovskaya, Oussama Khatib, Sebastian Thrun,...
Reconfigurable omnidirectional camera arrays are useful for applications where multiple cameras working together are to be deployed at a short notice. This paper proposes a multi-...
It is widely recognized that inertial sensors, in particular gyroscopes, can improve the latency and accuracy of orientation tracking by fusing the inertial measurements with data...
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...