Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
Finite-state and memoryless controllers are simple action selection mechanisms widely used in domains such as videogames and mobile robotics. Memoryless controllers stand for func...
Abstract: I n this paper, the mapping between the desired camera feature vector and the desired camera pose (i.e., the position, and orientation) is investigated to develop a measu...
Jian Chen, Darren M. Dawson, Warren E. Dixon, Vila...
We present a new terrain classification technique both for effective, autonomous locomotion over rough, unknown terrains and for the qualitative analysis of terrains for exploratio...
Amy C. Larson, Guleser K. Demir, Richard M. Voyles
For reaching to and grasping of an object, visual information about the object must be transformed into motor or postural commands for the arm and hand. In this paper, we present a...