A new means of action selection via utility fusion is introduced as an alternative to both sensor fusion and command fusion. Distributed asynchronous behaviors indicate the utility of various possible states and their...
One of the basic assumptions in the static gait design for a walking robot is that the weight of a leg should be negligible compared to that of body, so that the total gravity center of the robot is not affected by th...
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In this paper we introduce a new method for acquiring and processing ultrasound signals for the location and identification of the typical primitives for map building - planes, corners and edges. Models of the echo si...
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作者:
Reuter, J.TU-Berlin
Dep. of Electrical Engineering Inst. f. Measurement and Automation Einsteinufer 17 BerlinD-10587 Germany
The purpose of this approach is to significantly reduce the accumulation of odometric errors, while an autonomous robot moves through a completely unknown environment. The information of the displacement of the robot ...
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Evolutionary robotics is a research area that makes use of the various forms of evolutionary computation (EC) to provide a means of designing robot control systems. The use of EC can reduce development effort and allo...
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Intelligent mobile robots that interact with humans must exhibit adjustable autonomy;that is, the ability to dynamically adjust the level of self-sufficiency of an agent depending on the situation. When intelligent ro...
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The majority of manipulation systems are designed with the assumption that the objects being handled are rigid and do not deform when grasped. This paper addresses the problem of robotic grasping and manipulation of 3...
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We describe a different approach to robotics in which emotions are at center-stage playing a much larger role than just that of facilitating emotional expression. Drawing inspiration from work in Psychology, Neuroscie...
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We describe a different approach to robotics in which emotions are at center-stage playing a much larger role than just that of facilitating emotional expression. Drawing inspiration from work in Psychology, Neuroscience, and Ethology, we have developed a computational framework that captures important aspects of emotional processing and integrates these with other models of perception, attention, motivation, behavior, and motor control. We have followed this approach to control several autonomous agents, including a physical robot that is capable of emotional expression while exhibiting robust and effective behavior.
If we could obtain robots which act as humans, does this imply that both have the same structure and are made of the same 'substance'? This paper addresses this open question by implementing a basic robotic mo...
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If we could obtain robots which act as humans, does this imply that both have the same structure and are made of the same 'substance'? This paper addresses this open question by implementing a basic robotic motor task using anthropomorphic hardware and an anthropomorphic computational approach. Two different algorithms implementing reinforcement learning both at a psychological and bio-mimetic level techniques are presented and discussed. The performance achieved during the experimental trials suggests that similar performance can be achieved by the formal mathematical model of reinforcement learning and by the locally bio-mimetic architecture. This is very promising for the achievement of the adaptability, versatility and flexibility required of a humanoid, whilst still at acceptable levels of computational burden.
This tutorial presents the idea of computationalintelligence and its application to robotics and automation. Firstly, the basics for computationalintelligence are introduced, including neural networks, fuzzy systems...
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This tutorial presents the idea of computationalintelligence and its application to robotics and automation. Firstly, the basics for computationalintelligence are introduced, including neural networks, fuzzy systems and evolutionary computation, and advanced methodologies are then shown in detail. Next, application examples are given and shown how they can improve the conventional methods and how they can solve problems in the field of intelligent systems of robotics and automation.
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