The Contribution of Society to the Construction of Individual Intelligence

It is argued that society is a crucial factor in the construction of individual intelligence. In other words that it is important that intelligence is socially situated in an analogous way to the physical situation of robots. Evidence that this may be the case is taken from developmental linguistics, the social intelligence hypothesis, the complexity of society, the need for self-reflection and autism. The consequences for the development of artificial social agents is briefly considered. Finally some challenges for research into socially situated intelligence are highlighted

Special issue on smart interactions in cyber-physical systems: Humans, agents, robots, machines, and sensors

In recent years, there has been increasing interaction between humans and non‐human systems as we move further beyond the industrial age, the information age, and as we move into the fourth‐generation society. The ability to distinguish between human and non‐human capabilities has become more difficult to discern. Given this, it is common that cyber‐physical systems (CPSs) are rapidly integrated with human functionality, and humans have become increasingly dependent on CPSs to perform their daily routines.The constant indicators of a future where human and non‐human CPSs relationships consistently interact and where they allow each other to navigate through a set of non‐trivial goals is an interesting and rich area of research, discovery, and practical work area. The evidence of con- vergence has rapidly gained clarity, demonstrating that we can use complex combinations of sensors, artificial intelli- gence, and data to augment human life and knowledge. To expand the knowledge in this area, we should explain how to model, design, validate, implement, and experiment with these complex systems of interaction, communication, and networking, which will be developed and explored in this special issue. This special issue will include ideas of the future that are relevant for understanding, discerning, and developing the relationship between humans and non‐ human CPSs as well as the practical nature of systems that facilitate the integration between humans, agents, robots, machines, and sensors (HARMS).Fil: Kim, Donghan. Kyung Hee University;Fil: Rodriguez, Sebastian Alberto. Universidad Tecnológica Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán; ArgentinaFil: Matson, Eric T.. Purdue University; Estados UnidosFil: Kim, Gerard Jounghyun. Korea University

The ROS: Kinetic Kame for Humanoid Robot BarelangFC

A collaborative robot such as humanoid robot which able to play soccer consist tons of software framework such as servo controller, vision system, strategy receiver and transmitter, sensors, and coordination system. All these frameworks needed to be integrated to simplify the command of creating the complexity of the robot behaviors. To overcome these problems, the Robot Operating System (ROS) can be implemented on each robot. This paper presented the implementation of the ROS: Kinetic Kame in order to integrated the whole framework which is existed in the robot. To verify the performance of this system, some experiments has been done in real-time application. From the experimental results, the ROS: Kinetic Kame able to integrate each software framework of the robot in very good response.Sebuah robot kolaboratif seperti robot humanoid yang mampu bermain sepak bola terdiri dari banyak sekali framework software seperti servo controller, vision system, receiver and transmitter strategi, sensor, dan sistem koordinasi. Semua framework software ini perlu diintegrasikan untuk menyederhanakan perintah dalam menciptakan kompleksitas robot behaviour. Untuk mengatasi permasalahan tersebut, maka Robot Operating System (ROS) dapat diimplementasikan pada setiap robot. Makalah ini memaparkan implementasi ROS: Kinetic Kame untuk mengintegrasikan seluruh framework yang ada pada robot. Untuk memverifikasi kinerja sistem ini, beberapa percobaan telah dilakukan dalam aplikasi real-time. Dari hasil percobaan, ROS: Kinetic Kame mampu mengintegrasikan setiap framework software robot dengan respon yang sangat bai

Ongoing Emergence: A Core Concept in Epigenetic Robotics

We propose ongoing emergence as a core concept in epigenetic robotics. Ongoing emergence refers to the continuous development and integration of new skills and is exhibited when six criteria are satisfied: (1) continuous skill acquisition, (2) incorporation of new skills with existing skills, (3) autonomous development of values and goals, (4) bootstrapping of initial skills, (5) stability of skills, and (6) reproducibility. In this paper we: (a) provide a conceptual synthesis of ongoing emergence based on previous theorizing, (b) review current research in epigenetic robotics in light of ongoing emergence, (c) provide prototypical examples of ongoing emergence from infant development, and (d) outline computational issues relevant to creating robots exhibiting ongoing emergence