Search results for "Robot"

Towards a conceptual representation of actions

2000

An autonomous robot involved in missions should be able to generate, update and process its own actions. It is not plausible that the meaning of the actionsus ed by the robot isgiv en form the outside of the system itself. Rather, this meaning should be anchored to the world through the perceptual abilitiesof the robot. We present an approach to conceptual action representation based on a "conceptual" level that actsasan intermediate level between symbolsand data coming form sensors. Symbolic representations are interpreted by mapping them on the conceptual level through a mapping mechanism based on artificial neural networks.

3D Sensor-Based Obstacle Detection Comparing Octrees and Point clouds Using CUDA

2012

This paper presents adaptable methods for achieving fast collision detection using the GPU and Nvidia CUDA together with Octrees. Earlier related work have focused on serial methods, while this paper presents a parallel solution which shows that there is a great increase in time if the number of operations is large. Two different models of the environment and the industrial robot are presented, the first is Octrees at different resolutions, the second is a point cloud representation. The relative merits of the two different world model representations are shown. In particular, the experimental results show the potential of adapting the resolution of the robot and environment models to the t…

Fuzzy-logic-based approach for identifying objects of interest in the PRIDE framework

2008

On-road autonomous vehicle navigation requires real-time motion planning in the presence of static and moving objects. Based on sensed data of the environment and the current traffic situation, an autonomous vehicle has to plan a path by predicting the future location of objects of interest. In this context, an object of interest is a moving or stationary object in the environment that has a reasonable probability of intersecting the path of the autonomous vehicle within a predetermined time frame. This paper investigates the identification of objects of interest within the PRIDE (PRediction In Dynamic Environments) framework. PRIDE is a multi-resolutional, hierarchical framework that predi…

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…

Reaching and grasping a glass of water by locked-in ALS patients through a BCI-controlled humanoid robot

2015

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…

Replicating Experiments in “Detour Behavior” with Artificially Evolved Robots: An A-Life Approach to Comparative Psychology

1999

To be useful in psychology "artificial organisms" have to perform tasks comparable to those performed by animals. One way to achieve this is to rephcate actual animal experiments. Here we reproduce an experiment showing "detour behavior" in chicks - a behavior usually explained in terms of "cognitive maps" or other forms of internal representation. We artificially evolve software-simulated robots with a "generic" ability to detour. Sensor-motor physics are carefully calibrated with data from a physical robot. Robot architecture is constrained to exclude internal representation. The evolutionary process rewards exploratory skills as well as detour behavior. Robot performance matches the resu…

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.