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admin | next action todoist | 13.05.2015
Self assembly is a thermodynamic-driven process in which a group of randomly oriented molecules organize themselves into a specific pattern or an order structure in the absence of external directive forces. The use of non-covalent interactions to build higher order, structurally defined and system reversible self assembling dendrimers and dendronized polymers is one of our major research focus areas. The research fields of humanoid robots embody multiple aspects and disciplines from mechanical engineering up to artificial intelligence. The perception cycle bridges the real with the modeled world and it plays a fundamental role for humanoids. The quality of these capabilities depends on real-time performance with a compelling robustness. A self-actualizer is a person who is living creatively and fully using his or her potentials. Self-actualization is the process of manifesting possibility into actuality; turning our potential into reality. Self-Actualization is the realization or fulfillment of one's talents and potentialities, esp. Self-actualized people have realistic perceptions of themselves, others and the world around them.
The self-actualized individual does not conform to other people's ideas of happiness or contentment. Self-actualized people tend to view the world with a continual sense of appreciation, wonder and awe.
While self-actualized people have concrete goals, they do not see things as simply a means to an end.


Maslow says there are two processes necessary for self-actualization: self-exploration and action. Instead of wallowing in wishful thinking, write down your goals and take the appropriate action to achieve them. Use your intelligence, work to do well the things you want to do, no matter how insignificant they seem to be. Clipping is a handy way to collect and organize the most important slides from a presentation. These molecules are normally inscribed with functionalities that can promote internal, weak but specific interactions (e.g. The first is concerned with the preparation of low molecular weight organogelators based on H-bonding and p-p interactions.[1-3] We have demonstrated that aromatic pendant groups[2] and structural rigid functionalities[3] could enhance the organogelating properties of amino acid based organogelators in aromatic solvents. We demonstrated that during the construction of such supramacromolecular species, the size and microenvironmental effects of the dendritic appendages could play a very influential role in dictating the outcome of the self assembling process, and one cannot simply consider such innocent appendages as inert functionalities.[5] We are currently exploring other means, in addition to H-bond interactions, to build up such self assembling systems. The physical composition and appearance of humanoids differentiate them from the rest of the robots according to their application domain. This cycle is responsible for the sensor management, their signals and the extraction of valuable information from raw-data up to symbolic instances of the modeled world. The link from the world-model to the signals provided from the cameras represents the vision-to-model coupling, whereas its counterpart the model-to-vision coupling concerns with the inference and prospective anticipation mechanisms which allow the extraction of clues, priming models to bottom up information and profit from model-based segmentation. H-bonding, hydrophobic, p-p interactions) among themselve to form organized hierarchical architecture. Gelation of a solvent by a gelator occurs through self-assembly of the gelator molecules into elongated fiber like structures, which then forms an entangled three-dimensional network in the solvent.


The second area is related to the preparation of polymer physical gels and elucidation of their gelation mechanism. The physical composition will ultimately allow the robots to uninvasively, properly and effectively interact and operate within human-centered environments.
The endeavor of this visual perception cycle is to acquire and to track necessary signals and symbols in order to robustly, precisely and rapidly solve assertion queries arising either at the planning or reasoning layers.
As a result, these networks immobilize the solvent through capillary forces within the pores. The integrated skills of sensing and acting endowed by reasoning and learning mechanism enables humanoid robots to perform advanced tasks in a flexible and adaptive manner. The formation of crystals, micelles, lipid-bilayers, DNA double helices are all self assembly processes. The necessary methods for such a framework do not only require novel active-vision methods and action-vision techniques, but they also formulate and conduct concrete concepts and implementation of essential cognitive aspects for a model-based humanoid vision system. We are particularly interested in the design of self assembling molecular systems that can self organize into well defined materials and in the exploration of new frontiers and principles in supramolecular chemistry. The framework considers the whole execution cycle of complex tasks for a humanoid from the start-up global localization, where the vision-to-model coupling is acquired for the first time, followed by the dynamic localization where the 6D pose of the humanoid has to be tracked in order to ensure the updated vision-to-model coupling.
Furthermore, the framework must be able to provide support for all modules which require information from the visual space, e.g.



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