PANELFIT, SHERPA and SIENNA offer unique and complementary outputs. The projects address somewhat overlapping technological domains. PANELFIT has a broader focus on ICT, which to some extent covers the domains of both SHERPA and SIENNA. The SHERPA project is centered on smart information systems, and has a clear overlap with SIENNA’s focus on artificial intelligence. Finally, the SIENNA project offers syn- ergies for AI and robotics, and extends its scope to applications of different ICT technol- ogies for the purpose of enhancing humans.
The sensors are one of the useful technologies that play the vital role in the field of robotics. Sensors are highly required in the robotics in safety monitoring; inter locking in work cell control. Sensors are used in industrial robotics to monitor dangerous and safety conditions in the layout of robot cells like sensing the fire, motion of objects, pick up the load, measuring load etc... They help in avoiding the physical injuries and other damages caused to the human workers. In the robot work cell, the series of activities of various equipment is controlled using locks. The quality control was carried out with the manual inspection system and the measurement of the resistance of the system.
Robotics medical application started in fifteen years past for biological applications. it’s a bound extent new (about 5 years old). Robotic surgery will complete what doctors cannot attributable to accuracy and repeatability of robotic. as well, robots area unit intelligent to figure in an exceedingly contained area within the anatomy. to form robots specially appropriate for opposing microorganism or with modesty close surgery in adding for higher outcomes of surgery. Today, robots are established or often used for heart, brain, and funiculars, throat, and knee surgeries at tons of hospitals inside the us (International Journal of rising Medical Technologies, 2005). Robots here medication earn superior thought, individual for a field where their instrumental ids enable thorough this choices. The accessibility of leaning effectors, creative to induce into the anatomy with refusal or tiny blow, is dare, growing whereas micro-mechanics aims at applied science. The analysis of this addresses setsof identified achievement singling out necessary sovereign in body devices, furthermore co-robotic surgical aids, in analysis of recognizing shared compensation or hindrances, to get the way to visualize helpful tools, changed to answer given anxiety, when remaining inside ancient technologies. Nan AI is that the static mostly theoretical technology of making machines or robots at or lock to the size of a mill micron (10-9meters). additionally referred to as nanrobots or nanites, they might be created starting nanoscale or molecular elements. as a result way, researchers contain solely been capable to supply many components of such a machine, like bearings, sensors, and artificial molecular motors, excluding they trust to be bright to fashion complete robots as tiny as viruses or bacterium, that might win farm duties on a small scale. hopeful applications comprises small surgery (on the amount of individual cells), utility fog, producing, collection and improvement. This oversight provides a study of current developments, within the resolve of focusing the trends within the direction of the same flip.
This changed drastically when Rodney Brooks' introduced the concept of “Behaviour-based Robotics”, and many laboratories started to pursued research in the "New AI" or “Embodied Intelligence” as it became known. This approach considered work with physically embedded machines as essential, used little or no symbols (using neural or “subsymbolic representations”), and saw the behaviour of a robot as emergent from the robot's interaction with the environment, the robot's morphology, and the many unknown factors that influence robot behaviour. In the last decade this approach has blossomed into the “Embodiment” movement which argues that truly autonomous intelligent agents must be situated, embedded, and embodied, and, currently, the only exemplars are to be found in the natural world. This has spurred much biologically-inspired robotics research that has taken ideas and models from brain science (neurology, anatomy, physiology), psychology (behaviour, perception and psychophysics), cognitive science, ethology, and even evolutionary theory.
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According to the father of Artificial Intelligence John McCarthy, it is “The science and engineering of making intelligent machines, especially intelligent computer programs”. Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think. AI is accomplished by studying how human brain thinks and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems. John McCarthy; while exploiting the power of the computer systems, the curiosity of human, lead him to wonder, “Can a machine think and behave like humans do?” Thus, the development of AI started with the intention of creating similar intelligence in machines that we find and regard high in humans.
Artificial Intelligence is a branch of Science, which deals with helping machines find solutions to complex problems in a more human-like fashion. This generally involves harrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. AI is generally associated with Computer Science, but it has many important links with other fields such as Math, Psychology, Cognition, Biology and Philosophy, among many others. The Potential applications of Artificial Intelligence are endless. They stretch from the military for autonomous control and target identification, to the entertainment industry for computer games and robotic pets.
Abstract: Cloud Robotics (CR) is an emerging field within robotics, currently covering various application domains and robot network paradigms. Robots are limited in terms of computational capacity, memory and storage. Cloud provides unlimited computation power, memory, storage and especially collaboration opportunity. This paper describes the basic concepts and development process of cloud robotics and elaborates the overall architecture of these systems. ROS as robotic middleware, used to develop robotic application, is also discussed in brief. We discuss the technical challenges in computation, communications and security, and illustrate the potential benefits of cloud robotics in different applications. Further advancements in this field aim to establish a shared network resource for various robotics applications.
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The third article, On robots and insurance, provides the reader with an overview of risk management of robotic applications through insurance contracts. The authors discuss the essential need of insurance products for an effective technology transfer from research to market in the field of service robotics. This article discusses the hindrances and identifies the essential questions that lawyers, economists, and engineers need to address in their future research in order to overcome current limitations and ultimately develop efficient and adequate risk management tools.
can only receive commands from the PFL interacting with the master robot. This means that a therapist cannot be directly involved in the rehabilitation loop to apply corrective movements or to monitor/assess the PIL performance through haptic feedback. Fig. 5.1 shows the overall scheme of a conventional robotics-assisted mirror therapy system. Presence of an expert in the loop of the therapy can play an essential role in promoting the patient’s functional recovery. Based on a recent study published , haptics-based interaction with a partner when learn- ing a motor task considerably enhances the motor skills compared to when practicing the task alone for the same duration. Therefore, haptics-based interaction of a therapist with a patient can be effective not only because of the therapist’s knowledge and expertise, but also due to his/her positive effect on the patient’s learning curve as a result of the interaction. Capitalizing on the impact of therapist-patient haptics-based interaction, in this chapter a Therapist-In-the- Loop (TIL) framework is proposed for robotics-assisted mirror therapy based on a supervised trilateral telerobotic system integrated with adaptive Assist-as-Needed Therapy (ANT) that is adjusted based on the impairment and disability level of the patient’s affected limb. The overall scheme of the proposed framework is shown in Fig. 5.2. The proposed architecture offers the following innovations:
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The purpose of this paper is to give a deep view on ‘Cloud Robotics’. some of the important points are covered in this paper like, benefits of this technology and what is driving this research. software framework is also presented to highlights the technical developments in cloud computing. It currently enables cloud robotics for mobile robots .The main dependence of cloud robotics is on the cloud computing architecture. The information sharing capabilities and computations can be increased with the help of cloud robotic architecture. In the cloud robotic architecture an ad-hoc cloud is formed by machine to machine (M2M) communications among the robot participants. Machine to Machine communications (M2C) enable the infrastructure cloud ..In this we discuss the potential benefits of cloud (I)big data: for fetching the images and maps etc from the libraries;(II) Cloud Computing: provide parallel grid computing for statistical analysis ,learning and motion planning;(III)Collective Robot Learning: provide robots control policies, and outcomes; and(IV) Human Computation: provide human skills for analyzing images and video, classification, learning, and error recovery with the use of crowd sourcing.
The success of robotics-inspired biology is leveraging the booming industry of low-cost electromechanical tools now available. The decreasing cost and increasing availability of electronic components (e.g. Arduino microprocessors), actuators (components that produce movement in mechanical systems, e.g. hobby servomotors,), sensors [devices that measure motion or the environment, e.g. accelerometers and inertial measurement units (IMUs)] and fabrication equipment (3D printers and laser cutters) is enabling new contributions to robotics-inspired biology that will only increase in frequency as components decrease in cost. In addition, students in the sciences are learning computer programming skills and are exposed to electronics at younger ages. Low-cost hardware and access to open-source or inexpensive software make designing simple mechanical systems appealing for biologists. In the past, and especially from the perspective of many biologists, robotic systems can be difficult and time-consuming to
Tokyo’s Showa University engaged robotics company Tmsuk to manufacture the realistic robot which is designed to simulate a number of typical patient gestures and responses, allowing dental students to experience what it’s like to work with a real patient. Showa Hanako 2 is said to be a more user friendly and functional replacement to Showa Hanako 1, which was presented in March 2010. “Love doll” maker Orient Industry is responsible for the silicone skin (this replaces the PVC skin of the previous model) and mouth lining, which increases the realistic feel and prevents water from getting into the machinery. It can blink, roll its eyes, sneeze, shake its head, cough, move its tongue and even get tired when having to keep its mouth open for too long. Interestingly, the robot is also capable of simulating a gag reflex, which is quite frequent
Visegrad Robotics Workshop (VRW) was a one-year project devoted to identify and present these differences, to share some methods we are using to teach and some ideas we are using to popularize robotics in four countries: Slovakia, Poland, Belarus, and Czech Republic. Universities involved in this project organized seminars or conferences, showed some specific features in teaching and laboratory work. Exchanging knowledge, experience, problems, and even missions was very important and inspiring. International group stimulated new solutions during workshops based on various backgrounds of participants. In addition, each organization conducted its own robotics competition. To implement the idea of VRW, the authors have joined forces in a standard grant at the International Visegrad Fund .
Summet et al. (2009) reported that students studying programming in a robotics context were more successful than students in non-robotics contexts (including media computation and Matlab). Yet, when searching for quantitatively improved student motivation, McWhorter & O'Connor (2009) found little statistical evidence to suggest Lego robots motivated students to learn. Follow- up interviews in this study discovered that students did, however, enjoy working with robots.
Structure of securing things in IoT composed of three main organizations. The left organization in Figure 5 is cognitive structure of securing things in IoT, which included three parts. a, Ideas. How to regard the relationship between human in society and IoT, and the relationship between technology (such as AI and IoT) and nature? Can AI or IoT protect our privacy and never hurt us? From anthropocentrism to eco-centrism and to sustainable development, whether we should review on in nature resource allocation when AI is general in IoT? b, System. Each one or country should have the same opportunity to access, untilize and understand advantages and disadvantages of ongoing AI, especially when IoT is equipped with AI. The threat of security and fear of the future stems from the possibility that advantages or vulnerabilities may be exploited maliciously, by someone or group achievement of selfish. Securing system of society should have such a system to restrict misuse and malicious behavior through equality, ethics, and morality cross company and countries. c, Law. Furthermore, laws need to make to regulate the securing system above.
Shimizu Corporation of Japan began its R & D of robotics in 1975 to advance innovation in construction production. The company’s rationalization for R & D in construction is to increase productivity, improve quality, reduce cost, increase efficiency, obtain new markets and improve safety of the construction work environment. The ultimate goal is to create a flexible and integrated environment of the construction projects. The company has focused on both of these areas, automating traditional construction sites and new construction fields.
Robots are being developed for use in a variety of locations, including the workplace, home, healthcare, and the military. The instillation of robotic machines increased considerably in the late 1990’s, most prominently in auto manufacturing, but also in food/beverage and tobacco production, plastics and rubber manufacturing, and the pharmaceutical industries (BARA, 2007). The International Federation of Robotics (2008) estimated that in 2006 the worldwide stock of industrial robots stood at over one million, with 1 robot per 10 workers in the motor vehicle industry. For personal use in the home, sales of vacuum cleaning robots are at 2.35 million units, and lawn mowing robots at 91,000 units. Despite these numbers, robotics has not progressed as predicted by researchers or imagined in science fiction. Artificial intelligence and autonomy have developed more slowly than predicted; robotic elements are often shrouded in mechanistic forms; and the definition of ‘robot/robotic’ remains an area of academic debate (Trevelyan, 1999).
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The Robot Thought shows were then delivered at each of the partner venues. In addition, all of the venues involved chose to develop wraparound activities such as ‘make-and-take’ workshops or ‘meet the roboticist’ informal discussion opportunities. Some science centres also instigated a centre-wide robotics theme during the
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Educational robotics is an interdisciplinary phenomenon combining such fields as physics, mechatronics, mathematics, cybernetics, etc. In education, robotics ceases to be in the status of innovation. The child lives in a rapidly changing world where the robot occupies its unique place, acting as a car driver, a seller in a store or cafe, a surgeon, etc. Robots are increasingly becoming part of everyday life; cheap sensors, powerful computers, artificial intelligence programs make them more independent. They help people by replacing them, transforming healthcare and caring for the elderly. Robotics provides a change in the status of engineering professions . The subjectivity of the child manifests itself in the fact that he independently discovers a problem (game), takes the initiative in solving it, and embodies his plan.
Mobile robots are used for years as a valuable research and educational tool in form of available open-platform designs and Do-It-Yourself kits. Rapid development and costs reduction of Unmanned Air Vehicles (UAV) and ground based mobile robots in recent years allowed researchers to utilize them as an affordable research platform. Despite of recent developments in the area of ground and airborne robotics, only few examples of Unmanned Surface Vehicle (USV) platforms targeted for research purposes can be found. Aim of this paper is to present the development of open-design USV drone with integrated multi-level control hardware architecture. Proposed catamaran - type water surface drone enables direct control over wireless radio link, separate development of algorithms for optimal propulsion control, navigation and communication with the ground-based control station. Whole design is highly modular, where each component can be replaced or modified according to desired task, payload or environmental conditions. Developed USV is planned to be utilized as a part of the system for detection and identification of marine and lake waste. Cameras mounted to the USV would record sea or lake surfaces, and recorded video sequences and images would be processed by state-of-the-art computer vision and machine learning algorithms in order to identify and classify marine and lake waste.
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