Search results for "Roboti"
showing 10 items of 687 documents
Decision Making in Evolving Artificial Systems
2001
The theme of this workshop is artificial perception. In this chapter we will argue that the ecological function of perception is to serve decision-making. If this is so the mechanisms chosen to implement perception, in natural or artificial systems, will be constrained by the requirements of decision-making and theories of decision-making will inevitably influence theories of perception. In what follows we will look at decision-making from what we hope is a new perspective, applying concepts and techniques developed by what we will call “new artificial intelligence”. We will begin, in the second part of the chapter, with a review of traditional, “normative” theories of decision-making and o…
Imitation Learning and Anchoring through Conceptual Spaces
2007
In order to have a robotic system able to effectively learn by imitation and not merely reproduce the movements of a human teacher, the system should have the capability to deeply understand the perceived actions to be imitated. This paper deals with the development of a cognitive architecture for learning by imitation in which a rich conceptual representation of the observed actions is built. The purpose of the following discussion is to show how the same conceptual representation can be used both in a bottom-up approach, in order to learn sequences of actions by imitation learning paradigm, and in a top-down approach, in order to anchor the symbolical representations to the perceptual act…
Predictors of surgical outcomes of minimally invasive right colectomy: the MERCY study
2022
PURPOSE: The optimal approach for minimally invasive (MIS) right colectomy remains under debate. This study aimed to describe surgical trends in the treatment of nonmetastatic right colon cancer and to identify predictors of short-term surgical outcomes. METHODS: A retrospective multicenter cohort study of Minimally-invasivE surgery for oncologic Right ColectomY (MERCY) was conducted on patients who underwent laparoscopic or robotic right colectomy between 2014 and 2020. Classification tree approach was used to describe the extracorporeal (EA) or intracorporeal (IA) anastomosis choice. Mixed-model regressions were used to identify patient- and surgery-related factors predictive of postopera…
Artificial Pleasure and Pain Antagonism Mechanism in a Social Robot
2017
The goal of the work is to build some Python modules that allow the Nao robot to emulate a somatosensorial system similar to the human one. Assuming it can perceive some feelings similar to the ones recognized by the human system, it will be possible to make it react appropriately to the external stimuli. The idea is to have a group of software sensors working simultaneously, providing some feedback to show how the robot is feeling at a particular time. It will be able to feel articular pain and stress, to perceive people in his surroundings (and in a future work to react according to the knowledge of them with face recognition), feel pleasure by recognizing caresses on his head and respond…
Towards a Methodology for Designing Artificial Conscious Robotic Systems
2009
Engineering artificial conscious robotic systems, able to perceive, think and act in an unstructured environment is a very challenging issue. Basing on the results of the experiences made in the latest years about modeling the perception loop of a robot and about the creation of ad-hoc methodologies for engineering complex systems, we developed an initial model of an artificial conscious system and extended a well known methodology (PASSI) for engineering the elements we identified as composing such a system. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.
Computation of Yvon-Villarceau circles on Dupin cyclides and construction of circular edge right triangles on tori and Dupin cyclides
2014
Ring Dupin cyclides are non-spherical algebraic surfaces of degree four that can be defined as the image by inversion of a ring torus. They are interesting in geometric modeling because: (1) they have several families of circles embedded on them: parallel, meridian, and Yvon-Villarceau circles, and (2) they are characterized by one parametric equation and two equivalent implicit ones, allowing for better flexibility and easiness of use by adopting one representation or the other, according to the best suitability for a particular application. These facts motivate the construction of circular edge triangles lying on Dupin cyclides and exhibiting the aforementioned properties. Our first contr…
Creation and cognition for humanoid live dancing
2016
Abstract Computational creativity in dancing is a recent and challenging research field in Artificial Intelligence and Robotics. We present a cognitive architecture embodied in a humanoid robot capable to create and perform dances driven by the perception of music. The humanoid robot is able to suitably move, to react to human mate dancers and to generate novel and appropriate sequences of movements. The approach is based on a cognitive architecture that integrates Hidden Markov Models and Genetic Algorithms. The system has been implemented on a NAO robot and tested in public setting-up live performances, obtaining positive feedbacks from the audience.
A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning
2016
Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shapes the behavioral response. On the basis of previously developed neural models, inspired by Drosophila melanogaster, a new architecture for classification and sequence learning is here presented under the perspective of the Neural Reuse theory. Classification of relevant input stimuli is performed through resonant neurons, activated by the complex dynamics generated in a lattice of recurrent spiking neurons modeling the insect Mushroom Bodies n…
Integrated dimensional and drive-train design optimization of a light-weight anthropomorphic arm
2012
An approach to minimize the mass of robotic manipulators is developed by integrated dimensional and drive-train optimization. The method addresses the influences of dimensions and characteristics of drive-trains in the design optimization. Constraints are formulated on the basis of kinematic performance and dynamic requirements, whereas the main objective is to minimize the total mass. Case studies are included to demonstrate the application of the optimization method in the design of assistive robots.
The absolute center of a unicyclic network
1989
Abstract A unicyclic network is one generalization of a tree network. In this paper we examine the problem of finding an absolute center of a unicyclic network. We show that this problem can be solved in linear time with respect to the number of vertices in the network.