关键词： Drone aircraft  

摘要： The article reports on the U.S. Federal Aviation Administration's (FAA) 2015 approval for the electric company Commonwealth Edison Co. (ComEd) to use unmanned aircraft systems (UAS) to inspect its electric transmission and distribution lines.

关键词： Abstract Intelligence   Artificial Intelligence   Autonomous Learning   Brain Science   Cognitive Computing   Cognitive Informatics   Cognitive Knowledge Base   Cognitive Machine Learning   Cognitive Robotics   Cognitive Systems   Computational Intelligence   Denotational Mathematics   Intelligence Science   Neuroinformatics  

摘要： Cognitive robots are brain-inspired robots that are capable of inference, perception, and learning mimicking the cognitive mechanisms of the brain. Cognitive learning theories and methodologies for knowledge and behavior acquisition are centric in cognitive robotics. This paper explores the cognitive foundations and denotational mathematical means of cognitive learning engines (CLE) and cognitive knowledge bases (CKB) for cognitive robots. The architectures and functions of CLE are formally presented. A content- addressed knowledge base access methodology for CKB is rigorously elaborated. The CLE and CKB methodologies are not only designed to explain the mechanisms of human knowledge acquisition and learning, but also applied in the development of cognitive robots, cognitive computers, and knowledge-based systems.

关键词： Swarm intelligence (SI)   Artificial intelligence (AI)   Swarming robot (SR)  

摘要： Animals help to sustain the environment's life cycle and ecosystem. Without human intervention, these creatures carry out their 'spontaneous routine' jobs and contribute towards balance in nature. Any natural system that congregates as a result of some form of collective intelligence of nature is also known as swarm intelligence (SI). This metaphor inspires a variety of techniques to solve the problem of calculating, in most cases dealing with optimization problems and has sparked interest amongst scientists. It is very trying for a new researcher to understand the whole concept of swarming robotics (SR) and optimization algorithm (i.e. realizing the idea from animal's perception to the SR application). In addition, the existing algorithms are computationally complicated, difficult to be understood by beginners as there are too many parameters. Thus, in this paper, we simplify the three branches of the main applications which are frequently used for SI namely: (1) optimization and networks design, (2) prediction and forecasting, and (3) SR. This paper summarizes the basic understanding overview of swarming robotics and discusses their basic concepts and principles.

关键词： robotics  

关键词： Robotics   Associations   Automation   Machine tools  

摘要： The article discusses technological developments in the manufacturing industry as of April 2015, particularly the increased automation and adoption of robotic systems. Based on data from the Robotic Industries Association (RIA), robots with total value of 1.6 billion dollars were ordered by companies in North America in 2014. Also cited are the move by technology firm Google and China to increase their presence in the robotic industry.

关键词： Mobile robots   Semantic map   Topological map   Temporal coherence   Object recognition   Place recognition   Human-robot interaction   Knowledge representation   Planning  

摘要： The evolution of contemporary mobile robotics has given thrust to a series of additional conjunct technologies. Of such is the semantic mapping, which provides an abstraction of space and a means for human-robot communication. The recent introduction and evolution of semantic mapping motivated this survey, in which an explicit analysis of the existing methods is sought. The several algorithms are categorized according to their primary characteristics, namely scalability, inference model, temporal coherence and topological map usage. The applications involving semantic maps are also outlined in the work at hand, emphasizing on human interaction, knowledge representation and planning. The existence of publicly available validation datasets and benchmarking, suitable for the evaluation of semantic mapping techniques is also discussed in detail. Last, an attempt to address open issues and questions is also made. (C) 2014 Elsevier B.V. All rights reserved.

关键词： Collaborative robotics   Metaheuristics   Robotics   Swarm intelligence   Survey  

摘要： Metaheuristics have a substantial history in fine-tuning machine learning algorithms. They gained tremendous popularity in many application domains. Robotics on the other hand is a wide research discipline that embraces artificial intelligence in a complex individually-thinking robot and distributed robots. Recently, metaheuristics made a significant impact on the application areas of collaborating robotics. This new trend of collaborating robotics, offers the possibility of enhanced task performance, high reliability, low unit complexity and decreased cost over traditional robotic systems. Collaborating robots however are more than just networks of independent agents;they are potentially reconfigurable networks of communicating agents capable of coordinated sensing and interaction with the environment. On the conceptual level, these bots can be empowered by the logics of metaheuristic algorithms which share the same functionalities and capabilities. This paper reviews the recent advances of metaheuristic algorithms on robotics applications. A taxonomy is provided as a reference for robotics designers. (C) 2015 Elsevier Ltd. All rights reserved.

关键词： Benchmarking  

摘要： This paper introduces a benchmark framework to evaluate the performance of reaching motion generation approaches that learn from demonstrated examples. The system implements ten different performance measures for typical generalization tasks in robotics using open source MATLAB software. Systematic comparisons are based on a default training data set of human motions, which specify the respective ground truth. In technical terms, an evaluated motion generation method needs to compute velocities, given a state provided by the simulation system. This however is agnostic to how this is done by the method or how the methods learns from the provided demonstrations. The framework focuses on robustness, which is tested statistically by sampling from a set of perturbation scenarios. These perturbations interfere with motion generation and challenge its generalization ability. The benchmark thus helps to identify the strengths and weaknesses of competing approaches, while allowing the user the opportunity to configure the weightings between different measures. © 2015 A. Lemme et al.

关键词： HUMANOID robots   WALKING   PERFORMANCE evaluation   DATA analysis   ROBOTICS research