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In this study, a c-VEP based BCI system was developed to run on three distinctive pseudorandom sequences, namely the m-code, the Gold-code, and the Barker-code. The Visual Evoked Potentials (VEPs) were provoked using these codes. In the online session, subjects controlled a Mindstorms® robot around a fixed track. Choosing the optimal code proved a significant increase in accuracy (p<0.00001) over...
In this paper, we present Tri-SedimentBot (TSB), an underwater sediment sampling robot that uses combined rotation and linear motion to collect sediment. A main contribution of this system is a novel design for the sampling system that employs a dual-motion system with feedback control in order to maintain the stability of the TSB and the sediment collection method. We demonstrate the performance...
In this paper, we propose distributed sensor networks (DSNs) capable of performing reliable recognition targeted at multiple humans in the indoor environments. DSNs are composed with combinations of perception sensor units using a RGB-D sensor and a pan-tilt-zoom camera, and a control board to acquire 3W results of who, where, and what information based on audio-visual perception modules. In addition,...
Multiple objective navigation is commonly found in practice, where a path for an autonomous vehicle needs to be generated to simultaneously optimize a number of different objectives such as distance, safety, and visibility. Objectives can be weighted to solve a single objective optimization problem but appropriate weights may not be known a priori. In this paper, we formulate a series of missions...
Robotic Metal Inert Gas (MIG) and Tungsten Inert Gas (TIG) welding are the most widely used automated welding process in manufacturing industry. A novel robotic welding monitoring system is proposed and developed to detect inconsistencies during the welding process. The welding monitoring system assesses the weld quality and provides a real-time feedback to the welding robot. A new on-line analysis...
Synchronous hybrid learning is a technology-rich approach to enacting comparable, shared, and collaborative learning experiences for face-to-face and online participants in real-time. The benefits of this approach are often realized through an iterative process of innovation, review, and revision. We present an instructive case in which we used robotic telepresence devices to bring greater individualization...
In mining areas, wastes are usually piled-up in the dump, making a man-made hill with height of more than tens of meters. Because of the loose structure of dump sites, landslides or debris flow may occur after heavy rainfall, threatening local people's lives and properties. Therefore, dump stability monitoring and early warning for possible hazards is crucial for ensuring local safety. In this paper,...
Robotic networks are increasingly used to undertake complex missions and are often composed of heterogeneous agents executing well-defined tasks. To react against external disturbances and hardware failures, a typical technique is to change at runtime how tasks are assigned to robots. In this perspective, the paper presents an approach based on predictive control for the on-line selection of the optimal...
We present a platform that enables a service drone to guarantee reliability for mission completion and to update an application while in flight, using a robot operating system (ROS). The ROS is a flexible framework for writing robot software. It is a collection of tools, libraries, and conventions that aim to simplify the task of creating complex and robust robot behavior across a wide variety of...
In view of the present family security coefficient and poor family environment information control were complicated, family members can't access to environmental information conveniently, this paper proposed a Raspberry Pi as nuclear core processor used in the Internet of things of the family embedded robotic system, by used the 802.11 g and TCP/IP, HTTP to realize the infinite distance signal transmission,...
In recent years there has been a great deal of academic and practitioner interest in the role of ‘benefits realisation management’ [BRM] approaches, as a means of proactively leveraging value from IT investments. However, as automated technologies are increasingly being introduced on the basis that they deliver more cost-efficient solutions than their human counterparts, important questions needs...
Building successful applications using mimicked robotic fish required a comprehensive study to the various parameters affecting fish's performance during swimming in water, such as thrusting force, swimming speed, manoeuvrability, etc. during various swimming behaviour including straight swimming, c-turn escape and s-shape maneuver. The high complexity of the underwater environments pushed the researchers...
Aim of this paper is to provide a review of the state of the art in Search and Rescue (SAR) robotics. Suitable robotic applications in the SAR domain are described, and SAR-specific demands and requirements on the various components of a robotic system are pictured. Current research and development in SAR robotics is outlined, and an overview of robotic systems and sub-systems currently in use in...
The paper presents a real-time and reliable communication system for a newly developed hybrid underwater robotic vehicle (HURV). The surface monitoring station of the HURV is linked with the onboard underwater control system by a fine and neutral buoyance fiber, which enables the state monitoring and tele-operation mode of the vehicle based on the industrial Ethernet Modbus/TCP via the fiber-optic...
In search and rescue missions robots are used to help rescue workers in exploring the disaster site. Our research focuses on how multiple robots and rescuers act as a team, and build up situation awareness. We propose a multi-agent system where each agent supports one member, either human or robot. For representing high-level information about the mission, we design an ontology that serves as a shared...
We deployed an autonomous social robotic learning companion in three preschool classrooms at an American public school for two months. Before and after this deployment, we asked the teachers and teaching assistants who worked in the classrooms about their views on the use of social robots in preschool education. We found that teachers' expectations about the experience of having a robot in their classrooms...
Social presence has two opposing effects on human corruption: the collaborative and contagious nature of another person's presence can cause people to behave in a more corrupt manner. In contrast, the monitoring nature of another person's presence can decrease corruption. We hypothesize that a robot's presence can provide the best of both worlds: Decreasing corruption by providing a monitoring presence,...
The off-shore industry requires periodic monitoring of underwater infrastructure for preventive maintenance and security reasons. The tasks in hostile environments can be achieved automatically through autonomous robots like UUV, AUV and ASV. When the robot controllers are based on prespecified conditions they could not function properly in these hostile changing environments. It is beneficial to...
This paper provides both the core ideas of a heterogeneous marsupial robotic System and the details of the practical aspects related to its hardware architecture and cooperative system structure. This heterogeneous marsupial robotic system is composed by an unmanned surface vehicle (USV) that acts as a carrier and an unmanned aerial vehicle (UAV) that acts as a passenger, and it is designed for military...
Micro robots with artificial intelligence (AI) are being investigated for many applications, such as unmanned delivery services. The robots, shown in Fig. 14.3.1, have enhanced controllers that realize AI functions, such as perception (information extraction) and cognition (decision making). Historically, controllers have been based on general-purpose CPUs, and only recently, a few perception SoCs...
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