Scene-level Programming by Demonstration (PbD) is faced with an important challenge perceptual uncertainty. Addressing this problem, we present a scenelevel PbD paradigm that programs robots to perform goal-directed manipulation in unstructured environments with grounded perception. Scene estimation is enabled by our discriminatively-informed generative scene estimation method (DIGEST). Given s...

Object-oriented programming languages have always distinguished between \primitives" and \user-deened" data types, and in the case of languages like C++ and Java, the prim-itives are not even treated as objects, further fragmenting the programming model. Meanwhile, hardware design languages like VHDL and Verilog provide extensive bit-level facilities but lack the abstraction capabilities of obj...

In this paper, we propose an extended relocation model for warehouses configuration in a supply chain network, in which uncertainty is associated to operational costs, production capacity and demands whereas, existing researches in this area are often restricted to deterministic environments. In real cases, we usually deal with stochastic parameters and this point justifies why the relocation m...

The facility location problem is a strategic decision-making for a supply chain, which determines the profitability and sustainability of its components. This paper deals with a scenario where two supply chains, consisting of a producer, a number of distribution centers and several retailers provided with similar products, compete to maintain their market shares by opening new distribution cent...

Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...