111 resources related to Smart Robots
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The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.
HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.
robotics, intelligent systems, automation, mechatronics, micro/nano technologies, AI,
IEEE/SICE SII is the premier symposium series presenting the state of the art and future perspectives of System integration, where industry experts, researchers, and academics share ideas and experiences surrounding frontier technologies, breakthrough and innovative solutions and applications.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
EEE Embedded Systems Letters seeks to provide a forum of quick dissemination of research results in the domain of embedded systems with a target turn-around time of no more than three months. The journal is currently published quarterly consisting of new, short and critically refereed technical papers. Submissions are welcome on any topic in the broad area of embedded systems ...
Engineering & Technology, 2009
It may be an old fantasy, but the basic premise that we will one day engineer machines that are at least as smart as us and whose behaviour is indistinguishable from ours is, according to many roboticists, closer to reality than we might like to think. Our understanding of the human brain, and our ability to 'reverse engineer' it - ...
2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA), 2016
This paper elaborates on the hardware and software realization of a unique bi- modal robot developed for vigilance applications such as; aerial and ground navigation, dual arm manipulation and surveillance. One of the fundamental objectives was to build a lightweight ground unit which when attached to the flight unit, can be lifted easily during aerial mobility. The paper also reviews ...
2008 Sixth International Conference on Software Engineering Research, Management and Applications, 2008
Smart service robots, which assist solitary old person, are expected to be much required in a rapidly processing aging society. Thus smart robot industry is believed to provide huge boost in the future. Intelligence of smart robots is an essential factor to adapt themselves to surrounding environment changes. In this paper, we present a semantic and dynamic Web service of ...
IEEE Robotics & Automation Magazine, 2019
Current market demands require an increasingly agile production environment throughout many manufacturing branches. Traditional automation systems and industrial robots, on the other hand, are often too inflexible to provide an economically viable business case for companies with rapidly changing products. The introduction of cognitive abilities into robotic and automation systems is, therefore, a necessary step toward lean changeover and seamless ...
IEEE Transactions on Circuits and Systems I: Regular Papers, None
This paper considers the distributed control problem for a network of harmonic oscillator systems with delayed velocity coupling and signed graph topology containing a directed spanning tree. In sharp contrast to the dynamical behaviors of traditional coupled harmonic oscillators over unsigned graphs, it is found that the considered signed network can exhibit some more interesting behaviors, including bipartite synchronization, stabilization, ...
Roberto Saracco: Far Futures Panel - Symbiotic Autonomous Systems - TTM 2018
The Future of Power Electronics in Robotics: APEC 2019
Fast Scale Prototyping for Folded Millirobots
Pitch Competition Winners - 1st Place: Smart Gurlz - WIE ILC 2018
Inside Kiva Systems - Warehouse Robots at Work
Q&A with Connor Russomanno: IEEE Digital Reality Podcast, Episode 1
How To Build a Robotic Fly
Learning from Katrina: Search and Rescue Robots for Natural Disasters
Q&A - IoT Challenges Industry Forum Panel: WF IoT 2016
Highly Dynamic, Energy-Aware, Biomimetic Robots
Robots and Gaming - Therapy for Children with Disabilities
TechNews: Smart Cities Special Report
IEEE SMART GRID
IEEE Smart Grid World Forum - Klaus Kleinekorte
Smart Grid Vehicular Technology Vision: Possibility and Feasibility of Smart Community from Case Studies - Hiroaki Nishi
Reconstructed Brain Models for Virtual Bodies and Robots
Global Distribution Systems for the Smart Grid: Gordon Day
Bioinspired Multimodal Flying Robots
It may be an old fantasy, but the basic premise that we will one day engineer machines that are at least as smart as us and whose behaviour is indistinguishable from ours is, according to many roboticists, closer to reality than we might like to think. Our understanding of the human brain, and our ability to 'reverse engineer' it - to analyse how it works and replicate its processes - is increasing dramatically, such that within a couple of decades we should know all about the mechanics of human intelligence and, crucially, learning, and be able to apply this to machines.
This paper elaborates on the hardware and software realization of a unique bi- modal robot developed for vigilance applications such as; aerial and ground navigation, dual arm manipulation and surveillance. One of the fundamental objectives was to build a lightweight ground unit which when attached to the flight unit, can be lifted easily during aerial mobility. The paper also reviews a mathematical model to determine the parameters of the flight unit for achieving the required payload-to-weight ratio for a stable flight with the attached ground unit. Another significant goal was to control the robot wirelessly through a customized mobile application, making the control suitable for the layman. Besides, to ensure the safety of the robot during takeoff, landing or crash landing, a safe landing mechanism is presented in this paper. The fabricated smart robot can fly with a payload of 3.6kg and its dual arms can lift a load of 0.45kg by employing micro-controllers and an onboard mini personal computer.
Smart service robots, which assist solitary old person, are expected to be much required in a rapidly processing aging society. Thus smart robot industry is believed to provide huge boost in the future. Intelligence of smart robots is an essential factor to adapt themselves to surrounding environment changes. In this paper, we present a semantic and dynamic Web service of SOA based smart service robots using Web 2.0 OpenAPI. When smart robots confront with new problems, the robots search an external repository, download a suitable service, and deploy the service. We provide a prototype to show the validity of our study.
Current market demands require an increasingly agile production environment throughout many manufacturing branches. Traditional automation systems and industrial robots, on the other hand, are often too inflexible to provide an economically viable business case for companies with rapidly changing products. The introduction of cognitive abilities into robotic and automation systems is, therefore, a necessary step toward lean changeover and seamless human-robot collaboration.
This paper considers the distributed control problem for a network of harmonic oscillator systems with delayed velocity coupling and signed graph topology containing a directed spanning tree. In sharp contrast to the dynamical behaviors of traditional coupled harmonic oscillators over unsigned graphs, it is found that the considered signed network can exhibit some more interesting behaviors, including bipartite synchronization, stabilization, and convergent behavior. First, when the underlying graph is structurally balanced, some necessary and sufficient conditions in terms of coupling strength and time delay are established to achieve bipartite synchronization in the signed network. Then, under the assumption that the signed graph is structurally unbalanced, it is shown that the network state converges either to the origin or to a nontrivial trajectory. In particular, a novel approach is developed to explicitly determine the converged trajectory based on the left and right eigenvectors associated with the simple zero eigenvalue of the signed graph's Laplacian matrix. Finally, the theoretical analysis is illustrated by some numerical examples.
A tactile sensor utilizing a patterned and suspended SWNT film as a sensing element is reported in this paper. Dense and oriented SWNT films were self- assembled using dielectrophoresis through the monitoring of the dc resistance of the film. The SWNT film was patterned by lithography and oxygen plasma etching to form a suspended SWNT beam. PDMS primer was spin-coated on the SWNT structure, and cured to realize a robust tactile sensor. In nanoindentation test, a piezoresistive sensitivity of 5%/mN and a detection limitation of 2 muN were demonstrated. This simple and low temperature fabrication technology is believed to be very promising for flexible tactile sensors and sensor arrays in applications to smart robots, implantable clinic tools, or embedded pressure sensors in microfluidic systems.
Recently, smart robots and smart systems have acquired extensive research. Combination of control engineering along with automation engineering and artificial intelligence has given birth to the next generation robotic systems and modern control engineering. Intelligent agent which is considered as the basic building block is discussed in this paper then based on the theory of artificial intelligence, image processing and control system a robotic model which is called a Combi-Forklift robot is proposed. Different kind of machines have been researched which are named as robot. Some of them contain complex mechanical structure, others contain of complex electrical circuits and some of them are designed based on extensive work of programming. Some robots recognize voice, while other recognizes the image. Some are good in audio communication and some are combined with all such properties in a human like body. Moreover, robots have been researched and designed based on application, model or domain. In this paper we have proposed a combi-forklift robot by implementing a sensor network as an agent of artificial intelligence. The sensor network acts as the intelligent interface between the human being and the robot in a way that it observes the motion and gesture of human being and communicates the commands to our designed robot in order to perform application based activities. Since the indoor sensor network based system acts as intelligent agent, therefore the outdoor combi-forklift robot acts as the effector.
We propose a novel method to control a lot of microorganisms by using visual feedback for micro-robotic application. Our goal is to control a cluster of microorganisms as microscale smart robots for various applications, since microorganisms have efficient actuators and accurate sensors. Compared with single-cell level actuation methods proposed before, this method has the following advantages: (1) a cluster of microorganisms can cancel stochastic perturbations of behavior by taking the average; (2) a cluster of microorganisms can be more powerful than a single microorganism, and thus it can perform a variety of tasks. A visual feedback system is constructed to control cells using galvanotaxis (response to the electric field). Experimental results show the feasibility of visual feedback control of a paramecium cell cluster. In addition, micro-manipulation of small objects by the cell cluster is also demonstrated
A multi smart robot should be able to analyze the situation faster and make appropriate decisions with minimal interference of the human in normal as well as in critical situations for performing various tasks. This is typically designed for the regions where there are high radiation emissions. The use of RFID tags makes the system work in the form of groups under a leader and they communicate among themselves. Pervasive computing provides smartness for the robot in efficient coordination, decision making, monitoring with more leadership quality and common sense reasoning. In this paper a new dynamic leadership algorithm is proposed wherein a leader is elected according to the parameters taken into account. The objective is to make the system more remote, completely independent and more robust for exchanging information with increased degree of freedom.
Smart mobile devices are one of the main factors of realizing the smart city of tomorrow. To this aim, in this paper, we investigate utilizing cloud robotics as a practical processing platform for making the existing inexpensive mobile devices such as robots smarter and collaborative. Smart cities with the scattered massive number of sensors would need complicated infrastructure to connect and process large quantities of data. Cloud robotics has emerged as an efficient computing means in intensive data processing applications. Hence, we introduce C2RO cloud robotics platform that uses real- time stream processing technology to virtually connect the energy-efficient and low-cost city mobile devices or sensors. Moreover, to mitigate the effects of latency, we propose the hybrid cloud robotics computation model used in C2RO cloud robotics platform as a processing model employing both edge and cloud computing technologies in robotics. We demonstrate the superiority of C2RO platform through practical experiments and show that our proposed computational model provides significant optimization in the latency and processing rate, and achieves the real-time target of a high-profile urban project.
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