Many robot applications require mobility in constrained spaces and a high degree of flexibility. This paper describes the development of an autonomous serpentine robot. This robot is a 12 degree of freedom, untethered, hyper-redundant planar robot, named Kaa. Experiments were conducted in its application to mobility tasks that would be useful in locomotion among parallel pipe structures similar...

This paper provides micro evidence of labor mobility inside business groups. We show that worker flows between firms in the same group are stronger than with unaffiliated firms. Moreover, reallocation top workers is more sensitive to international shocks. Top move within response shocks reach higher positions and earn wages. find suggestive productivity increases when receive same-group workers...

The development of DSmT is based on the notion of Dedekind’s lattice, called also hyper-power set in the DSmT framework, on which is defined the general basic belief assignments to be combined. In this chapter, we explain the structure of the hyper-power set, give some examples of hyper-power sets and show how they can be generated from isotone Boolean functions. We also show the interest to wo...

The paper is a survey of the recent theory of plurisubharmonic functions of quaternionic variables, together with its applications to the theory of valuations on convex sets and HKT-geometry (Hyper-Kähler with Torsion). The exposition follows some earlier papers by the author and a joint paper by Verbitsky and the author.

Hyper-heuristics have emerged as effective general methodologies that are motivated by the goal of building or selecting heuristics automatically to solve a range of hard computational search problems with less development cost. HyFlex is a publicly available hyper-heuristic tool for rapid development and research which provides an interface to four problem domains along with relevant low level...

In this paper, first the basics of the Bayesian inference for linear inverse problems are presented. The inverse problems we consider are, for example, signal deconvolution, image restoration or image reconstruction in Computed Tomography (CT). The main point to discuss then is the prior modeling of signals and images. We consider two classes of priors: simple or hierarchical with hidden variab...

A common form of a hyper-heuristic is a method that controls a search process which uses neighbourhood operators. There have many studies showing that hyper-heuristics are reusable for solving unseen problem instances not only from a particular domain but also different problem domains without requiring any change. However, generally hyper-heuristics have been considered as part of time-contrac...

An iterative selection hyper-heuristic passes a solution through a heuristic selection process to decide on a heuristic to apply from a fixed set of low level heuristics and then a move acceptance process to accept or reject the newly created solution at each step. In this study, we introduce Robinhood hyper-heuristic whose heuristic selection component allocates equal share from the overall ex...