关键词： Autism spectrum disorder   Robots   Education   Intervention   ICT  

摘要： During the last two decades, the use of Information and Communication Technologies (ICT) has opened new paths in the intervention of people with Autism Spectrum Disorder (ASD). These may include intervention based on "social robots". This research aims to review the state of scientific production on social robotics in the intervention of students with ASD during 2000-2019 to establish an action protocol in the use of this tool through a list of bibliometric indicators. To achieve this objective, we worked through the main collection of the Web of Science (WoS), obtaining a sample of 69 *** results indicate that the authors with the highest scientific production are American, even though they do not own the most cited articles in the field. In this sense, the great number of publications are indexed in the JCR Q1. Likewise, two journals are the work core of the field of study. Moreover, the vast majority of the studies are focused in different areas such as: communication and social interaction, repeated and stereotyped patterns of behaviour, interest, or activity. As a conclusion, robotics is a tool increasingly used by students with ASD. Moreover, robotics can be applied through a protocol based on the indicators analyzed. Therefore, future researchers in the field would use the indicators to determine, for example, which area to work in, which year they could obtain information or which journals publish the highest quality research. With the information provided by these indicators, a robotic intervention could be implemented.

关键词： Robots   Swarm particle optimization   Design methodology   Robustness   Performance evaluation   Self-organizing networks  

摘要： Swarm robotics deals with the design, construction, and deployment of large groups of robots that coordinate and cooperatively solve a problem or perform a task. It takes inspiration from natural self-organizing systems, such as social insects, fish schools, or bird flocks, characterized by emergent collective behavior based on simple local interaction rules [1], [2]. Typically, swarm robotics extracts engineering principles from the study of those natural systems in order to provide multirobot systems with comparable abilities. This way, it aims to build systems that are more robust, fault-tolerant, and flexible than single robots and that can better adapt their behavior to changes in the environment.

关键词： Special issues and sections   Algorithm design and theory   Design automation   Robot sensing systems   Sensors   Robotic assembly   Motion planning   Learning (artificial intelligence)  

摘要： This Workshop on the Algorithmic Foundations of Robotics (WAFR) Special Issue of the IEEE Transactions on Automation Science and Engineering (T-ASE) brings together eight extended articles from the thirteenth WAFR. While these eight articles span several application domains, they demonstrate advances in automation through algorithmic development and analysis. Nomination to this Special Issue was done in coordination with the entire program committee and guest edited by the four WAFR Co-Chairs. The articles in this Special Issue highlight cutting-edge research in general tools for motion planning, learning, control, manipulation, sensor-based planning, and robotic design.

关键词： self-healing   soft robotics   3D printing modular   liquid metal  

摘要： Advances in materials, designs, and controls are propelling the field of soft robotics at an incredible rate;however, current methods for prototyping soft robots remain cumbersome and struggle to incorporate desirable geometric complexity. Herein, a vat photopolymerizable self-healing elastomer system capable of extreme elongations up to 1000% is presented. The material is formed from a combination of thiol/acrylate mixed chain/ step-growth polymerizations and uses a combination of physical processes and dynamic-bond exchange via thioethers to achieve full self-healing capacity over multiple damage/healing cycles. These elastomers can be three dimensional (3D) printed with modular designs capable of healing together to form highly complex and large functional soft robots. Additionally, these materials show reprogrammable resting shapes and compatibility with self-healing liquid metal electronics. Using these capabilities, subcomponents with multiple internal channel systems were printed, healed together, and combined with functional liquid metals to form a high-wattage pneumatic switch and a humanoid-scale soft robotic gripper. The combination of 3D printing and self-healing elastomeric materials allows for facile production of support-free parts with extreme complexity, resulting in a paradigm shift for the construction of modular soft robotics.

关键词： 高层次人才   先进性教育   党员教育  

摘要： 发挥高校教师党支部的战斗堡垒作用,加强对"双带头人"的政治引领,通过贯彻"一条主线",以党建领航各项工作,实施"两项"工程,抓好高层次人才党员队伍建设,依托"三个平台",推进高层次人才党员教育效能最大化,不断增强党组织在高层次人才中的凝聚力和向心力,打造一支能服务国家、引领社会、投身教育、又红又专的高层次人才队伍。

关键词： 外骨骼   步态分析   动力学   仿真   Kane方法  

摘要： 人体躯干能够根据负载重量而自适应调节前倾角度,有利于人体对下肢外骨骼的控制和人机系统行走稳定性。当超出一定负重时,躯干前倾困难。设计一种新型髋背结构,利用负重重量增加躯干前倾角度。首先分析人体步态,方便仿真时施加约束和驱动等元素;然后将人体简化为七杆模型,用Kane方法建立动力学方程,减少中间变量,提高计算效率;最后通过Adams进行动力学仿真验证。仿真得到的结果表明:承载负重之后,髋背机构能使人体躯干前倾更加省力,人机系统重心位置相比于之前接近稳定区域,并且系统重心比之前有所降低,进一步保证系统稳定。

关键词： 机器人竞赛   标准化  

摘要： 高校机器人竞赛作为机器人教育的重要形式,在激发学生学习兴趣、增强学生自主创新能力和培养学生综合能力方面优势显著。本研究通过文献分析、问卷调查,就高校机器人竞赛发展现状展开调查。发现机器人竞赛标准化方面的主要问题,包括竞赛分类模糊、机器人竞赛质量良莠不齐、个别竞赛存在商业化问题等。并基于此提出编制管理标准、建立统一协调机制,设立权威协调机构、设置机器人竞赛主办准入机制等一系列对策建议,以期促进高校机器人竞赛管理的科学化、标准化、规范化。

关键词： Maritime robotics   AUV   ASV   Underwater robotics   Acoustic telemetry   Fish tracking  

摘要： This paper provides a systematic state of the art review on tracking the fine scale movements of fish with the use of autonomous maritime robotics. Knowledge of migration patterns and the localization of specific species of fish at a given time is vital to many aspects of conservation. This paper reviews these technologies and provides insight into what systems are being used and why. The review results show that a larger amount of complex systems that use a deep learning techniques are used over more simplistic approaches to the design. Most results found in the study involve Autonomous Underwater Vehicles, which generally require the most complex array of sensors. The results also provide insight into future research such as methods involving swarm intelligence, which has seen an increase in use in recent years. This synthesis of current and future research will be helpful to research teams working to create an autonomous vehicle with intentions to track, navigate or survey.