Cleaner Robot in the Cloud – Cleo

With the upcoming of cloud computing technology, the robots doesn’t have to act anymore on their own but they can learn from the experiences of other robots. The main idea of this proposal is how to share knowledge between heterogeneous robots and how to move the processing power from robots to the cloud via cloud computing. A demonstration is thought to be realized using clean robots and the services of cloud computing platform RoboEarth. The orientation and position coordinates of the cleaner robot can easily be calculated by using the encoder and electronic compass. The ultrasonic distance sensor will scan the environment for obstacles and for the borders of the unknown environment. All this information will be transferred to the cloud platform which then uses the path planning algorithm for the coverage of the complete environment for cleaning task. The processing power of the cloud technology enables the low cost production of the cleaner robot. The path planning algorithm based on small area segmentation will be used to control the robot motion and to cover the complete environment

Cloud robotics platforms: review and comparative analysis

Due to the various advantages that the cloud can offer to robots, there has been the recent emergence of the cloud robotics paradigm. Cloud robotics permits robots to unload computing and storage related tasks into the cloud, and as such, robots can be built with smaller on-board computers. The use of cloud-robotics also allows robots to share knowledge within the community over a dedicated cloud space. In order to build-up robots that benefit from the cloud-robotics paradigm, different cloud-robotics platforms have been released during recent years. This paper critically reviews and compares existing cloud robotic platforms in order to provide recommendations on future use and gaps that still need to be addressed. To achieve this, 8 cloud robotic platforms were investigated. Key findings reveal varying underlying architectures and models adopted by these platforms, in addition to different features offered to end-users

Cloud robotics platforms: review and comparative analysis

Due to the various advantages that the cloud can offer to robots, there has been the recent emergence of the cloud robotics paradigm. Cloud robotics permits robots to unload computing and storage related tasks into the cloud, and as such, robots can be built with smaller on-board computers. The use of cloud-robotics also allows robots to share knowledge within the community over a dedicated cloud space. In order to build-up robots that benefit from the cloud-robotics paradigm, different cloud-robotics platforms have been released during recent years. This paper critically reviews and compares existing cloud robotic platforms in order to provide recommendations on future use and gaps that still need to be addressed. To achieve this, 8 cloud robotic platforms were investigated. Key findings reveal varying underlying architectures and models adopted by these platforms, in addition to different features offered to end-users

Medical image computing and computer-aided medical interventions applied to soft tissues. Work in progress in urology

Until recently, Computer-Aided Medical Interventions (CAMI) and Medical Robotics have focused on rigid and non deformable anatomical structures. Nowadays, special attention is paid to soft tissues, raising complex issues due to their mobility and deformation. Mini-invasive digestive surgery was probably one of the first fields where soft tissues were handled through the development of simulators, tracking of anatomical structures and specific assistance robots. However, other clinical domains, for instance urology, are concerned. Indeed, laparoscopic surgery, new tumour destruction techniques (e.g. HIFU, radiofrequency, or cryoablation), increasingly early detection of cancer, and use of interventional and diagnostic imaging modalities, recently opened new challenges to the urologist and scientists involved in CAMI. This resulted in the last five years in a very significant increase of research and developments of computer-aided urology systems. In this paper, we propose a description of the main problems related to computer-aided diagnostic and therapy of soft tissues and give a survey of the different types of assistance offered to the urologist: robotization, image fusion, surgical navigation. Both research projects and operational industrial systems are discussed

Communication between men and robots

Tato práce, která byla psána na Strojní fakultě Vysokého učení technického v Brně, Ústav automatizace a informatiky, se zabývá problémem komunikace mezi lidmi a roboty z netradičního hlediska. Snahou bylo vyhodnotit a rozdělila způsoby této komunikace, najít problémy, které se této oblasti týkají a na jejich základě analyzovat jejich možná řešení. Cílem bylo poukázat na některá reálná řešení zmíněných problémů.This work written at the Faculty of Mechanical Engineering, Brno University of Technology, Institute of Automation and Computer Science, deals with the problem of communication between men and robots from nontraditional aspects. It is tried to analyse and divide the ways of the communication, find the problems that are related to this and on their basis analyse possible solutions. It was endeavoured to show some real solutions to these mentioned problems.

Robot Autonomy for Surgery

Autonomous surgery involves having surgical tasks performed by a robot operating under its own will, with partial or no human involvement. There are several important advantages of automation in surgery, which include increasing precision of care due to sub-millimeter robot control, real-time utilization of biosignals for interventional care, improvements to surgical efficiency and execution, and computer-aided guidance under various medical imaging and sensing modalities. While these methods may displace some tasks of surgical teams and individual surgeons, they also present new capabilities in interventions that are too difficult or go beyond the skills of a human. In this chapter, we provide an overview of robot autonomy in commercial use and in research, and present some of the challenges faced in developing autonomous surgical robots

Utilizing Bayesian Techniques for User Interface Intelligence

The purpose of this research is to study the injection of an intelligent agent into modern user interface technology. This agent is intended to manage the complex interactions between the software system and the user, thus making the complexities transparent to the user. The background study will show that while interesting and promising research exists in the domain of intelligent interface agents, very little research has been published that indicates true success in representing the uncertainty involved in predicting user intent. The interface agent architecture presented in this thesis will offer one solution for solving the problem using a newly developed Bayesian-based agent called the Intelligent Interface Agent (IIA). The proof of concept of this architecture has been implemented in an actual expert system, and this thesis presents the results of the implementation. The conclusions of this thesis will show the viability of this new agent architecture, as well as promising future research in examination of cognitive models, development of an intelligent interface agent interaction language, expansion of meta-level interface learning, and refinement of the PESKI user interface