While nowadays inspection and maintenance is mainly performed manually, the deployment of mobile robot systems could reduce the necessary resources for these tasks in the future. Within this paper major hindrances and...
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While nowadays inspection and maintenance is mainly performed manually, the deployment of mobile robot systems could reduce the necessary resources for these tasks in the future. Within this paper major hindrances and possible remedies for the deployment of teleoperated mobile robots in industrial environments are discussed. Specifically, concepts for the seamless integration of mobile robots into industrial infrastructures, for intuitive feedback and commanding of such robots as well as advanced user-interfaces are elaborated. It is discussed in how far this multi-modal approach promises to significantly improve the usability of teleoperated robots for industrial applications.
OP:Sense is a research platform developed for applications in roboter assisted surgery. The system can be used for automatic positioning tasks, like CO 2 laser cutting or conventional bone cutting techniques or highl...
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OP:Sense is a research platform developed for applications in roboter assisted surgery. The system can be used for automatic positioning tasks, like CO 2 laser cutting or conventional bone cutting techniques or highly accurate positioning, like needle placement in biopsie. Due to the flexibility of the used lightweight robots the system can also be used for minimal invasive surgery. Also new combinations of MIRS techniques and automatic positioning becomes possible, a semi-autonomous usage of the surgical robotic system. In this paper the focus is to describe the control system developed for OP:sense that enables to use the system in a wide area of surgical applications.
The four-rotor unmanned aerial vehicle (UAV), known as quadrotor UAV, has been a hot area for the research of unmanned aerial vehicles. Ground control Station (GCS), as an essential part of quadrotor UAV system, plays...
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The quadrotor unmanned aerial vehicle (UAV) has been a focus for unmanned aerial vehicles. Ground control system (GCS) is an important part of the quadrotor UAV flight control system, and it can promote the flight per...
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The quadrotor unmanned aerial vehicle (UAV) has been a focus for unmanned aerial vehicles. Ground control system (GCS) is an important part of the quadrotor UAV flight control system, and it can promote the flight performance and safety of quadrotor UAVs. In this paper, a quadrotor UAV GCS is designed and implemented, and the GCS realizes the following functions, including receiving and storing of the flight data, the real-time localization utilizing the customization of electronic maps like MapX and Google Earth, the visual display of flight states via virtual instruments and the waypoint planning. Outdoor experiments have been done to verify the GCS's performance. It can be concluded that the proposed GCS in this paper can work stably, and it can guarantee the integrity of the flight data, the accuracy of the instruments display and map localization.
In this paper, a new approach is described to recognize the phases of a single-port sigma resection intraoperatively, based on the position signal of the surgical instruments, the endoscopic video and an audio signal,...
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ISBN:
(数字)9781467321273
ISBN:
(纸本)9781467321259
In this paper, a new approach is described to recognize the phases of a single-port sigma resection intraoperatively, based on the position signal of the surgical instruments, the endoscopic video and an audio signal, signaling coagulations. Approaches for detecting the coagulation sounds, as well as the instruments visible in the endoscopic video using a bag of words model are detailed. The intervention phases are regarded as classes of a naive Bayes classifier. Features that differentiate intervention phases are examined. The naive Bayes classifier is extended by a dynamic feature, which includes the order of the intervention phases and their duration. First results show that in 93.2% the recognized phases are classified as true positive.
In recent years, quadrotor helicopter has become a hotspot of the research about unmanned aerial vehicles (UAVs). The data acquisition of the vehicle's attitude and position in real time is important to achieve au...
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In recent years, quadrotor helicopter has become a hotspot of the research about unmanned aerial vehicles (UAVs). The data acquisition of the vehicle's attitude and position in real time is important to achieve autonomous flight control for quadrotor UAVs. In this paper, an ARM embedded system is employed as the main controller, and an attitude heading reference system (AHRS) is utilized as the main onboard sensor. By using C++ programming under Linux operation system, the data acquisition and processing of the AHRS is implemented, and then the attitude and position data of the quadrotor UAV are obtained in real time to provide reliable flight state information for the autonomous flight control. The on-board flight data is sent to ground control system and stored via a communication module based on the UDP network protocol.
A heterogeneous, mobile, self-reconfigurable and modular robot platform is being developed in the projects SYMBRION and REPLICATOR. The locomotion of the robots as well as forming of the robot organisms will be contro...
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A heterogeneous, mobile, self-reconfigurable and modular robot platform is being developed in the projects SYMBRION and REPLICATOR. The locomotion of the robots as well as forming of the robot organisms will be controlled using evolutionary and bio-inspired techniques. As the robots are not available at the beginning of the projects and experiments are time consuming and carry risks of damaging the robots, the evolutionary algorithms will be run using a simulation. The simulation has to provide realistic movements of a swarm of robots, simulating the docking procedure between the robots as well as simulating organism motion. High requirements are imposed on such a simulator. We developed the Robot3D simulator, which dynamically simulates a swarm of mobile robots as well as robot organisms. In this paper we will give an overview of the simulation framework, we will show first results of performance tests and we will present applications for which Robot3D has already been used.
This work presents a point cloud approach for haptic object recognition with an anthropomorphic robot hand. It introduces several statistical point cloud features to provide robust descriptions of objects. It addresse...
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In this paper we will present the Robot Formation Language (RFL), a topology description language for the formation of multi robot systems, such as robot swarms or self-reconfigurable modular robot platforms. The RFL ...
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We introduce a new model framework to describe the temporal evolution of the macroscopic location probability of a robotic swarm in two dimensions based on the Boltzmann equation from statistical physics. The framewor...
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