摘要： Presents information on various RAS Society chapters.

关键词： Welding robot   Rigid-flexible coupling   Flexible joints   Vibration error  

摘要： The flexible factors in the large structure machine with large-scale movement make the rigid-flexible coupling become the key problem of research. Past research mostly focus on the flexibility of the link, ignoring the impact of joint flexibility. Through the dynamic analysis of simplified 3-link structure in space, different stiffness coefficients of flexible joint are given, and motion trajectory of robot's is observed, comparing the displacement of joint under rigid state. The Lagrange method is used to deduce the rigid-flexible coupling dynamic equation which takes the gravity term into consideration. By comparing the dynamic simulation results of ADAMS with those in the rigid state, it shows that the flexible joint has an impact on the movement of the system. Vibration amplitude of different stiffness coefficient is different, and the associated vibration exists between each other. The motion response of the system is relatively large and motion error varies along with the movement path in X, Y and Z, which lay the foundation for the research of control system.

摘要： Presents the President’s message for this issue of the publication.

关键词： education   programming   robotics   STEM  

摘要： We present an activity framed within the European Robotics Week event. Robotics and computational practice are ideal tools for developing science, technology, engineering, and mathematics (STEM) pedagogy. A modular and adaptive hands-on workshop is described in detail. The workshop is based on multiplatform educational robotics content as a first step into the robotics world. Three educational tools are used to introduce examples of robotics applications. The operational details, materials, and examples of activities for selected modules are presented with the expectation that all teachers can adapt these activities to their classes. Despite the small number of students, the experience delivered results that might be useful for other instructors to promote workshops with similar or identical content to generate further benefits. This study demonstrates that it is important to combine theory and practice and include fun tasks that intertwine the challenges of applying theory to problem solving. Furthermore, the results show how the same content can be deployed using three different robotics education tools.

关键词： 机器人  

ISBN: (纸本)9787564179687

摘要： 本书首先介绍机器人竞赛的缘起和国内外主要机器人赛事概况；其次针对2018江苏省大学生机器人竞赛十大类近40个竞赛项目，详细介绍各项目竞赛规则并提供相应的初步解决方案及部分项目技术报告，指导参赛队员设计机器人作品。

关键词： robotics   computational modeling   artificial intelligence  

摘要： The latest developments in artificial intelligence (AI) and machine learning, and the parallel advances in robotics, have contributed recently to a shift in the scientific approach to modeling human intelligence. These innovations, accompanied by the new emphasis on embodied and grounded cognition in AI and psychology, have led to the establishment of the field of developmental robotics. This field features an interdisciplinary approach, built on collaboration between cognitive robotics and child psychology, to the autonomous design of behavioral and cognitive capabilities in artificial cognitive agents, such as robots, which is inspired by developmental principles and mechanisms observed in children. In this article, we illustrate the benefits of this approach by presenting a case study of a baby robot with a focus on the role of embodiment during early word learning, as well as an overview of several developmental robotics model of perceptual, social, and language development.

关键词： artificial intelligence   employment   robotics   social transformation   sociology   technological innovation  

摘要： How far do recent innovations in robotics and artificial intelligence herald an unprecedented economic and social transformation? This article provides a critical evaluation of this question, challenging the relentless technological determinism of much debate, and reframing the issues involved within a political-economic and sociological approach. This focuses on the economic, political and historical dynamics of technological innovation, and its consequences for employment and economic re-structuring, mediated through sovereign and discursive power. A range of epistemological and empirical problems with the transformationist position are identified, and an alternative perspective proposed emphasizing complexity and uncertainty around contemporary and future trends.

关键词： Distributed control   kinematic control   repetitive motion generation   redundancy resolution   Zhang neural network (ZNN)  

摘要： In this paper, a neural-dynamic distributed scheme is proposed for the cooperative control of multiple redundant manipulators with limited communications. It is guaranteed that, with the communication network being connected, all manipulators can jointly reach the same desired motion. The proposed distributed scheme is rearranged as a time-varying quadratic program and solved online by a Zhang neural network. Then, theoretical analyses show that, without noise, the proposed distributed scheme is able to execute a given task with exponentially convergent position errors. Moreover, an explicit bound relationship between the control input noise and the end-effector position error is analytically derived. Furthermore, numerical comparisons substantiate the superiority, effectiveness, and accuracy of the proposed distributed scheme.

关键词： Motion Planning under uncertainties   Linear quadratic regulator   Markov decision process  

摘要： Among all the mathematical frameworks used in the control and robotics communities to handle uncertainties, the stochastic variants of optimal control frameworks are appealing, in particular because of the existence of efficient tools to solve them computationally, such as dynamic programming. However, in many cases, because of their formulation as a classical optimization problem, it may be difficult to ponder the expected solutions for a given choice of the objective function to minimize. In this paper, we perform an in-depth analysis of the behavior of the policies obtained from solving Stochastic Linear Quadratic Gaussian problems, thinking in particular in robot motion planning applications. To perform this analysis, we assume simplified linear systems perturbed by Gaussian noise, with state-dependend and control-dependent components, and objective functions summing up control-related and state-related costs. We provide (1) useful bounds for understanding the effect of the objective function parameters, (2) insights on what the expected paths of system should be and (3) results on the optimal choice of the planning horizon.