Abstract— We present an adaptive control approach combining forward kinematics model learning methods with the operational space control approach. This combination endows the rob...
This paper studies the optimization of observation channels (stochastic kernels) in partially observed stochastic control problems. In particular, existence, continuity, and convex...
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Content adaptable applications are often used in ubiquitous computing environment, and it aims to service the adaptable contents to users. In this environment, the services are dyn...
We investigate relationships among software quality measures commonly used to assess the value of a technology, and several aspects of customer perceived quality measured by Inter...