关键词： 机器人学   人才培养   人工智能   网络化  

摘要： 本文在简介近年来国内外工业机器人销量快速增长之后,首先总结了我国机器人研究开发的经验教训,特别是机器人学人才培养方面的教训;接着论述夯实我国机器人发展基础的主要举措,包括培养高素质机器人学人才;然后对培养我国高素质机器人学人才提出决策建议,可供制定我国机器人学中长期发展规划参考。

关键词： 机器人学   机械基础   课程融合  

摘要： 本文以国家制造业发展形势为背景,围绕机器人专业建设和人才培养目标,探索机器人学和机械基础课程的融合教学模式。从教学目标、教学内容、教学方法以及实践环节几个方面,给出提升课程教学质量的思路和方法,为机器人专业人才更好地学习后续课程和适应社会经济发展奠定扎实的基础。

关键词： 自动化学院   广东工业大学   学院建设   人才培养  

摘要： 广东省佛山市首个机器人应用创新中心于2015年3月23日成立。同一天,库卡机器人公司于与广东工业大学（广工大）自动化学院研究院正式签署战略合作协议,共同建设广工大-库卡机器人学院。双方共同筹建的机器人学院将每年从全省各大高校招100名学生进行学习。根据规划,学院准备通过三至五年的时间将广工大-库卡机器人学院建设成为华南地区库卡机器人应用技术研发中心、人才培养中心和创新创业中心。

关键词： 美国机械工程师学会   终身成就奖   机器人学   机构学   天津大学   机构设计   机器人系统   变胞机构  

摘要： 天津大学8月17日消息，在美国波士顿召开的第39届美国机械工程师学会（ASME）机构学与机器入学大会上，天津大学机械学院教授戴建生因其在变胞机构研究中取得的突出成果，被授予2015年ASHE机构学与机器人学终身成就奖。该奖设立于1974年，颁发给世界范围内对机构设计和机构理论，以及机构和机器人系统设计与应用领域有着终身杰出贡献的学者，是国际机构学与机器人学最高奖。

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.