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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)...
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...
This article takes well-known methods in robotics and combines them in order to enable the simulation and animation of the virtual human - a model of human kinematics. The virtual human consists of standard kinematic chains, that are arranged and coupled with each other to approximate the degrees of freedom of the human body. The anthropomorphic multi-robot system resulting from this coupling is controlled...
Repetitive motion on industrial workstations is at the origin of musculoskeletal disorders (MSD). There is a need for new simulation tools that allows for human motion prediction. This paper addresses the problem of realistic human motion simulation on industrial workstations. It is based on motion analysis and control synthesis on a kinematics basis. Literature and motion captures are compared. Then,...
The knowledge of the inertial parameters of a dynamic systems is crucial to understand, simulate and eventually control it. Identification theory in robotics is well formulated and often used however it requires the knowledge of the actuation torque. When considering humanoid system: robots or humans identification is seldom used as the actuation torque is difficult to measure. We have developed an...
This paper introduces a novel approach to a crucial problem in robotics: Constructing robots that can learn general affordance relations from their experiences. Our approach has two components. (a) The robot models affordances as statistical relations between actual actions, object properties and the experienced effects of actions on objects. (b) To exploit the general-knowledge potential of its actual...
Recent generations of humanoid robots increasingly resemble humans in shape and articulatory capacities. This progress has motivated researchers to design dancing robots that can mimic the complexity and style of human choreographic dancing. Such complicated actions are usually programmed manually and ad hoc. However, this approach is both tedious and inflexible. Researchers at the University of Tokyo...
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