Search results for "Robotic"
showing 10 items of 636 documents
Predicting survival in node-positive prostate cancer after open, laparoscopic or robotic radical prostatectomy: A competing risk analysis of a multi-…
2016
Objectives: To investigate cancer-specific mortality and other-cause mortality in prostate cancer patients with nodal metastases. Methods: The study included 411 patients treated with radical prostatectomy and pelvic lymph node dissection for prostate cancer with lymph node metastases at 10 tertiary care centers between 1995 and 2014. Kaplan–Meier analyses were used to assess cancer-specific mortality-free survival rates at 8 years' follow up in the overall population, and after stratifying patients according to clinical and pathological parameters. Uni- and multivariable competing risk Cox regression analyses were used to assess cancer-specific mortality and other-cause mortality. Finally,…
Role of robotic surgery in ovarian malignancy
2017
As part of minimally invasive surgery, robotic-assisted approach is becoming increasingly popular in gynecologic oncology. It has been shown to be effective and feasible for staging and treating endometrial and cervical cancer, but its role in the context of primary and recurrent ovarian cancers is presently debated. Scanty data are available in the literature, and the level of evidence supporting its use in ovarian cancer is quite low. However, from a retrospective case-control series, robotic surgery seems to be safe and feasible for early-stage ovarian cancer. Its use in treating patients with advanced-stage or relapsed ovarian cancer is still highly controversial, suggesting the choice …
A Planning and Control System for Self-Driving Racing Vehicles
2018
Autonomous robots will soon enter our everyday life as self-driving cars. These vehicles are designed to behave according to certain sets of cooperative rules, such as traffic ones, and to respond to events that might be unpredictable in their occurrence but predictable in their nature, such as a pedestrian suddenly crossing a street, or another car losing control. As civilian autonomous cars will cross the road, racing autonomous cars are under development, which will require superior Artificial Intelligence Drivers to perform in structured but uncertain conditions. We describe some preliminary results obtained during the development of a planning and control system as key elements of an A…
Robotic-assisted right colectomy. Official expert recommendations delivered under the aegis of the French Association of Surgery (AFC)
2022
: Twenty-seven experts under the aegis of the French Association of Surgery (AFC) offer this reference system with formalized recommendations concerning the performance of right colectomy by robotic approach (RRC). For RRC, experts suggest patient installation in the so-called "classic" or "suprapubic" setup. For patients undergoing right colectomy for a benign pathology or cancer, RRC provides no significant benefit in terms of intra-operative blood loss, intra-operative complications or conversion rate to laparotomy compared to laparoscopy. At the same time, RRC is associated with significantly longer operating times. Data from the literature are insufficient to define whether the robot f…
Moiré with zone plates pseudo-randomly encoded
1993
Abstract Moire patterns are a convenient method for optically sensing lateral displacements, or in-plane rotations. Sharp moire fringes are here created by using two zone plates, pseudo-randomly encoded. Our results may be useful in metrology, optical testing, and robotics. Experimental results are reported.
Heuristics for solving the parameter tuning problem in motion cueing algorithms.
2017
[ES] Diversos tipos de plataformas robóticas son empleadas habitualmente para la generación de claves gravito-inerciales en simuladores. Además del control de los actuadores, dichas plataformas deben ejecutar complejos algoritmos de control conocidos como algoritmos de washout, que deben ser ajustados para que el movimiento generado sea similar al simulado. El ajuste de dichos algoritmos es complejo por el elevado número de parámetros que poseen. Además, dicho ajuste se ha venido realizando tradicionalmente de modo manual mediante evaluaciones subjetivas. En este trabajo, los autores proponen un método automático de ajuste basado en optimización heurística, métricas objetivas, y simulación …
UWSim-NET: An Open-Source Framework for Experimentation in Communications for Underwater Robotics
2019
The communication with the remotely operated vehicles (ROV) in underwater applications are usually based on umbilical cables. The increase in the number of ROVs in cooperative interventions motivates the interest in underwater wireless communications. They have a high impact in robotic applications because of their limited performance in underwater scenarios. In this work we present UWSim-NET, an extension of the simulator for underwater robotics UWSim, which is based on the Robot Operating System (ROS). UWSim-NET integrates a communications module based on Network Simulator 3 (NS3) that allows to model the physical and data link layers. Experiments demonstrating the capabilities of UWSim-N…
OMNI-DRL: Learning to Fly in Forests with Omnidirectional Images
2022
Perception is crucial for drone obstacle avoidance in complex, static, and unstructured outdoor environments. However, most navigation solutions based on Deep Reinforcement Learning (DRL) use limited Field-Of-View (FOV) images as input. In this paper, we demonstrate that omnidirectional images improve these methods. Thus, we provide a comparative benchmark of several visual modalities for navigation: ground truth depth, ground truth semantic segmentation, and RGB images. These exhaustive comparisons reveal that it is superior to use an omnidirectional camera to navigate with classical DRL methods. Finally, we show in two different virtual forest environments that adapting the convolution to…
A cognitive architecture for robot self-consciousness
2008
Objective: One of the major topics towards robot consciousness is to give a robot the capabilities of self-consciousness. We propose that robot self-consciousness is based on higher order perception of the robot, in the sense that first-order robot perception is the immediate perception of the outer world, while higher order perception is the perception of the inner world of the robot. Methods and material: We refer to a robot cognitive architecture that has been developed during almost 10 years at the RoboticsLab of the University of Palermo. The architecture is organized in three computational areas. The subconceptual area is concerned with the low level processing of perceptual data comi…
An Emphatic Humanoid Robot with Emotional Latent Semantic Behavior
2008
In this paper we propose an Entertainment Humanoid Robot model based on Latent Semantic Analysis, that tries to exhibit an emotional behavior in the interaction with human. Latent Semantic Analysis (LSA), based on vector space allows the coding of the words semantics by specific statistical computations applied to a large corpus of text. We illustrate how the creation and the use of this emotional conceptual space can provide a framework upon which to build “Latent Semantic Behavior” because it simulates the emotionalassociative capabilities of human beings. This approach integrates traditional knowledge representation with intuitive capabilities provided by geometric and sub-symbolic infor…