Abstract. Two main challenges of robot action planning in real domains are uncertain action effects and dynamic environments. In this paper, an instance-based action model is lear...
As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
Abstract. To develop statistical models for shapes, we utilize an elastic string representation where curves (denoting shapes) can bend and locally stretch (or compress) to optimal...
Anuj Srivastava, Aastha Jain, Shantanu H. Joshi, D...
– We present a robust localization algorithm for mobile robots with laser range finders, which takes featurebased approach for reliable matching process as well as pointbased app...
Modern internet and telephone switches consist of numerous VLSI-circuits operating at high frequencies to handle high bandwidths. It is beyond question that such systems must cont...