Search results for " robot"
showing 10 items of 408 documents
Robotic versus laparoscopic surgery in gynecology: Which should we use?
2015
This review of the literature aims at assessing the safety and effectiveness of robotic versus laparoscopic surgery in benign and malignant gynecological diseases. Robotic-assisted laparoscopy is already widely used in the United States and Europe for the main gynecological procedure - hysterectomy - and has proved feasible and comfortable for other benign and malignant gynecological procedures. However, the clinical effectiveness and safety of robotic surgery compared with standard laparoscopy have not been undoubtedly established. We reviewed the literature by searching in the Ovid/MEDLINE, PubMed, Cochrane Library, and Google Scholar databases for all the articles published from January …
“It Is Not the Robot Who Learns, It Is Me.” Treating Severe Dysgraphia Using Child–Robot Interaction
2021
Writing disorders are frequent and impairing. However, social robots may help to improve children's motivation and to propose enjoyable and tailored activities. Here, we have used the Co-writer scenario in which a child is asked to teach a robot how to write via demonstration on a tablet, combined with a series of games we developed to train specifically pressure, tilt, speed, and letter liaison controls. This setup was proposed to a 10-year-old boy with a complex neurodevelopmental disorder combining phonological disorder, attention deficit/hyperactivity disorder, dyslexia, and developmental coordination disorder with severe dysgraphia. Writing impairments were severe and limited his parti…
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…
Experiments on Concurrent Artificial Environment
2001
We show how the simulation of concurrent system is of interest for both behavioral studies and strategies of learning applied on prey-predator problems. In our case learning studies into unknown environment have been applied to mobile units by using genetic algorithms (GA). A set of trajectories, generated by GA, are able to build a description of the external scene driving a predators to a prey. Here, an example of prey-predator strategy,based on field of forces, is proposed. The evolution of the corespondent system can be formalized as an optimization problem and, for that purpose, GA can be use to give the right solution at this problem. This approach could be applied to the autonomous r…
Roving Robots Gain from an Orientation Algorithm of Fruit Flies and Predict a Fly Decision-Making Algorithm
2014
Simple organisms like bacteria are directly influenced by momentary changes in concentration or strength of sensory signals. In noisy sensory gradients frequent zigzagging reduces the performance of the cell or organism. Drosophila melanogaster flies significantly deviate from a direct response to sensory input when orienting in gradients. A dynamical model has been derived which reproduces fly behaviour. Here we report on an emergent property of the model. Implemented in a robot, the algorithm is sustaining decisions between visual targets. The behaviour was consequently found in wild-type flies, which stay with a once-chosen visual target for considerable longer times than mutant flies wi…
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…
Identification of Distributed Systems with Logical Interaction Structure
2012
This paper focuses on the structure identification problem for a class of networked systems, where the interaction among components or agents is described through logical maps. In particular, agents are heterogeneous cooperating systems, i.e. they may have different individual dynamics and different interaction rules depending on input events. While we assume that the individual agents' dynamics are known, each agent has partial knowledge of the logical map encoding the interaction of another agent with its neighbors. Based on the so-called algebraic normal form for binary functions, we present a technique by which the network structure described by a logical function can be dynamically est…
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…