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This paper summarizes authors' experience with the operation of both versions of autonomous humanoid robot Pepper. The robot's construction, as well as its capabilities and limitations are discussed and compared to the NAO robot. Practical background of working with Pepper robots and several years of experience with NAO, result in specific know-how, which the authors would like to share in this article...
Two different configurations of Liquid State Machine (LSM), a special type of Reservoir Computing with internal nodes modelled as spiking neurons, implementing multiple columns (Modular and Monolithic approaches) are tested against the decimation of neurons, connections and entire columns in order to verify which one can better withstand the damage. Based on the neurorobotics outlook, this work is...
Challenge-based learning fosters critical thinking and raises student interest in science, technology, engineering, and math (STEM) and in STEM careers. Hands-on, mentor-based programs like FIRST connect youth with industry professionals to solve real-world problems in innovative and creative ways and to develop 21st-century life and work skills.
One of the most popular domains in the current research is getting robots to replace humans in the difficult and dangerous tasks. To do that a robot must act as intelligently as humans towards different problems. Giving life to a robot is a dream that is coming true. One Of the hottest fields in this domain is teaching the robot how to understand and express emotions. The main target of this paper...
This study reviews the educational theories and existing literature for the integration of robots to support teaching in classrooms by assessing integration methods and the effectiveness of educational robotics on student learning. Most of the research on this subject are only focused on children from kindergarten to middle schools and analyzed the end results from questionnaires and grades. Without...
In this work we propose an integrated approach for the design of humanoid robots, whose solution involves a simple control strategy that results on lower costs for large-scale production. A novel concept of organizational structure called Amorphic Architecture is presented. It allows for the deployment of hybrid controller systems and enables the generation of trajectories using a parameterized movement...
Anxiety related to dental treatment is a common case in children and causes serious problems. In this study, we proposed a novel technique based on the use of a humanoid robot companion to improve the child's experience in the clinicall environment by minimizing pain and anxiety during a dental procedure. Thus, we designed and developed a human-robot interaction scenario with children in the range...
Robot escorting is a challenging task that can be applied to protect a target entity, capturing and to manage leader-follower formations. A linear combination of minimum distance maintenance and area coverage as an obstacle avoidance procedure was shown as an effective tool to escort with a simulated omni directional robot, which can deal easily with the constantly changing outputs generated by this...
Android portable devices are well equipped with sensors and communication capabilities, and start to be widely used among computer science students and researchers. Many projects include Android and Bluetooth to build distributed applications, but programming this kind of systems is not easy, especially for the novice programmer. The learning curve can be quite steep. Red fang provides the means to...
Despite the rapid advances in technology relatively few are focused on special education, or the education for people with profound and multiple disabilities. One of the main causes for this to happen is that there is little incentive for companies to design and manufacture technology for a target group of customers without major buying power, or one that makes up a relatively small proportion of...
Analysis and recognition of objects in complex scenes is a demanding task for a computer. There is a selection mechanism, named visual attention, that optimizes the visual system, in which only the important parts of the scene are considered at a time. In this work, an object-based visual attention model with both bottom-up and top-down modulation is applied to the humanoid robot NAO to allow a new...
This paper represents research in the area of Physical computing and Robotics with practical realization of remote controlled vehicle. The vehicle is controlled by programmable microcontroller, such as the Arduino or FEZ Mini, running on the Microsoft.NET Micro Framework as a spine and the Android acting as a brain. The connection between a spine and a brain is established via Bluetooth.
This paper presents a constructivist methodology oriented to training Robotics in its wide sense, and its implementation in higher education. A humanoid robotics workshop is included as a part of the curriculum of ‘Industrial Robotics’ in the Industrial Engineering. This workshop covers one third of the laboratory practices of this subject. A constructivist view for learning is adopted, whereby robotic...
This research is aimed at achieving human consciousness in a robot. The authors focus on mirror image cognition, which is a high-level conscious function of humans, and have been conducting mirror image cognition tests with the robot, and have discovered that emotion and feelings are closely related to decision-making and learning. However, do humans always decide on an action through their emotions?...
The relationship between philosophy and computer engineering is considered, with particular emphasis upon the design of artificial moral agents. Top-down vs. bottom-up approaches to ethical behavior are discussed, followed by an overview of some of the ways in which traditional ethics has informed robotics. Two macro-trends are then identified, one involving the evolution of moral consciousness (conscience)...
Most human interactions with the environment depend on our ability to navigate freely and to use our hands and arms to manipulate objects. Developing natural means of controlling these abilities in humanoid robots can significantly broaden the usability of such platforms. An ideal interface for humanoid robot teleoperation will be inexpensive, person-independent, require no wearable equipment, and...
This paper reveals the secret of NOSQL. What is NOSQL? It breaks the long history of relational database and a massive implementation of NOSQL on humanoid. NOSQL data store did not have proper table schemas and join operation so no limitation to store data and we can able to form a graph of information from that we can achieve very fast data retrieval. Map reduce concept also give a hand to increase...
Generating natural motion of an articulated object with higher DOF (e.g., humanoid robot and robot hand) is a crucial issue in robotics and computer graphics fields. Use of the motion capture data is one of the solutions, but it requires expensive device and time-consuming measurement. In this paper, we propose a method for generating natural hand motion to play a piano from the inputted music score...
Reinforcement learning in the high-dimensional, continuous spaces typical in robotics, remains a challenging problem. To overcome this challenge, a popular approach has been to use demonstrations to find an appropriate initialisation of the policy in an attempt to reduce the number of iterations needed to find a solution. Here, we present an alternative way to incorporate prior knowledge from demonstrations...
In this paper, we present a miniaturized version of a previously developed ground reaction force sensor. The sensor is composed of two pairs of meander coils detecting displacement in a plane. One pair of coils determines vertical displacement, proportional to normal force distribution, while the other pair of coils determines horizontal displacement, proportional to tangential force distribution...
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