We propose an architecture to implement coordination among fuzzy behavior modules for autonomous agents, in real-time tasks. behavior coordination is obtained by fuzzy conditions and motivations evaluated on informati...
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We propose an architecture to implement coordination among fuzzy behavior modules for autonomous agents, in real-time tasks. behavior coordination is obtained by fuzzy conditions and motivations evaluated on information provided by intelligent sensors and a world modeler. We also discuss the compatibility of our architecture with cognitive models. We present the application of this architecture in one of the domains we have faced with it: service and edutainment robotics. (C) 2002 Elsevier Science B.V. All rights reserved.
There are striking parallels between ecological psychology and the new trends in robotics and computer vision, particularly regarding how agents interact with the environment. We present some ideas from ecological psy...
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There are striking parallels between ecological psychology and the new trends in robotics and computer vision, particularly regarding how agents interact with the environment. We present some ideas from ecological psychology, including control laws using optic flow, affordances, and action modes, and describe our implementation of these concepts in two mobile robots that can avoid obstacles and chase or flee moving targets solely by using optic flow. The properties of these methods were explored further in simulation. This work ties in with that of others who argue for a methodological approach in robotics that forgoes a central model or planner. Not only might ecological psychology contribute to robotics, but robotic implementations might, in turn, provide a test bed for ecological principles and a source of ideas that could be tested in animals and humans.
This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach to ground the tool affordances in the behavioral r...
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ISBN:
(纸本)078038914X
This paper introduces a novel approach to representing and learning tool affordances by a robot. The tool representation described here uses a behavior-based approach to ground the tool affordances in the behavioral repertoire of the robot. The representation is learned during a behavioral babbling stage in which the robot randomly chooses different exploratory behaviors, applies them to the tool, and observes their effects on environmental objects. The paper shows how the autonomously learned affordance representation can be used to solve tool-using tasks by dynamically sequencing the exploratory behaviors based on their expected outcomes. The quality of the learned representation was tested on extension-of-reach tool-using tasks.
Bioinspired navigation strategies require landmark identification subsystems for goal identification. Door recognition is a key problem to be solved during mobile robot navigation. Doors give access to many locations ...
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ISBN:
(纸本)9781424417612
Bioinspired navigation strategies require landmark identification subsystems for goal identification. Door recognition is a key problem to be solved during mobile robot navigation. Doors give access to many locations that are defined as goals for the robot. This paper presents an approach to door identification by means of recognition of the door handle. Rather than using the fines defined by the door blades, the region of interest of an image is extracted by means of the Hough transform and afterwards SIFT keypoints are obtained and matched against a database in order to positively recognize the door. The extraction of the ROI highly reduces the computational load of the SIFT algorithm and increases the handle recognition performance. The approach is evaluated and tested on a real Peoplebot robot, using a behavior-based control architecture that combines the identification module with free-space balancing (for corridor following), door knocking and crossing behaviors.
This paper presents the application of a Case-based Reasoning approach to the selection and modification of behavioral assemblage parameters. The goal of this research is to achieve an optimal parameterization of robo...
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ISBN:
(纸本)0780365763
This paper presents the application of a Case-based Reasoning approach to the selection and modification of behavioral assemblage parameters. The goal of this research is to achieve an optimal parameterization of robotic behaviors in run-time. This increases robot performance and makes a manual configuration of parameters unnecessary. The case-based reasoning module selects a set of parameters for an active behavioral assemblage in real-time. This set of parameters fits the environment better than hand-coded ones, and its performance is monitored providing feedback,for a possible reselection of the parameters. This paper places a significant emphasis on the technical details of the case-based reasoning module and how it is integrated within a schema-based reactive navigation system. The paper also presents the results and evaluation of the system in both in simulation and real world robotic experiments.
We provide an overview of the software components underlying four different tasks performed by a heterogeneous group of mobile robots. These tasks are are drawn from three domains 1. Robot Competitions (Robot Soccer a...
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ISBN:
(纸本)0819438618
We provide an overview of the software components underlying four different tasks performed by a heterogeneous group of mobile robots. These tasks are are drawn from three domains 1. Robot Competitions (Robot Soccer and 'Find Life on Mars'), 2. Security and Surveillance (Perimeter Protection) and 3. Building Environmental Models (Multi-Robot Navigation and Mapping). Once decomposed as a set of cooperating behaviors, we show how these (seemingly unrelated) tasks lead to similar solutions as far as their modular breakdown is concerned, thereby yielding high reusability. Although our collection of robot platforms is notably diverse in terms of mechanics, sensory and computational capabilities, cross-platform migration and extension of existing behavior assemblages require minimal programming effort.
The paper describes a Brain-Robot Interface paradigm in which recognition of an anticipatory brain potential (in this case the Contingent Negative Variation - CNV) is acknowledged and reacted to by a robot arm movemen...
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ISBN:
(纸本)9781424420728
The paper describes a Brain-Robot Interface paradigm in which recognition of an anticipatory brain potential (in this case the Contingent Negative Variation - CNV) is acknowledged and reacted to by a robot arm movement. The well-known task of Towers of Hanoi is executed by a robotic arm. A measure of success is the subject's ability to generate series of CNV potentials in a CNV flip-flop paradigm which progresses towards the completion of the Towers of Hanoi task.
An approach for the verification of autonomous behavior-based robotic missions has been developed in a collaborative effort between Fordham University and Georgia Tech. This paper addresses the step after verification...
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ISBN:
(纸本)9783319419596;9783319419589
An approach for the verification of autonomous behavior-based robotic missions has been developed in a collaborative effort between Fordham University and Georgia Tech. This paper addresses the step after verification, how to present this information to users. The verification of robotic missions is inherently probabilistic, opening the possibility of misinterpretation by operators. A human study was performed to test three different displays (numeric, graphic, and symbolic) for summarizing the verification results. The displays varied by format and specificity. Participants made decisions about high-risk robotic missions using a prototype interface. Consistent with previous work, the type of display had no effect. The displays did not reduce the time participants took compared to a control group with no summary, but did improve the accuracy of their decisions. Participants showed a strong preference for more specific data, heavily using the full verification results. based on these results, a different display paradigm is suggested.
This paper investigates how the psychological notion of comfort can be useful in the design of robotic systems. A review of the existing study of human comfort, especially regarding its presence in infants, is conduct...
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ISBN:
(纸本)0819438618
This paper investigates how the psychological notion of comfort can be useful in the design of robotic systems. A review of the existing study of human comfort, especially regarding its presence in infants, is conducted with the goal being to determine the relevant characteristics for mapping it onto the robotics domain. Focus is placed on the identification of the salient features in the environment that affect the comfort level. Factors involved include current state familiarity, working conditions, the amount and location of available resources, etc. As part of our newly developed comfort function theory, the notion of an object as a psychological attachment for a robot is also introduced, as espoused in Bowlby's theory of attachment. The output space of the comfort function and its dependency on the comfort level are analyzed. The results of the derivation of this comfort function are then presented in terms of the impact they have on robotic behavior. Justification for the use of the comfort function in the domain of robotics is presented with relevance for real-world operations. Also, a transformation of the theoretical discussion into a mathematical framework suitable for implementation within a behavior-based control system is presented. The paper concludes with results of simulation studies and real robot experiments using the derived comfort function.
We propose an architecture to implement coordination among fuzzy behavior modules for autonomous agents, in real-time tasks. behavior coordination is obtained by fuzzy conditions and motivations evaluated on informati...
详细信息
We propose an architecture to implement coordination among fuzzy behavior modules for autonomous agents, in real-time tasks. behavior coordination is obtained by fuzzy conditions and motivations evaluated on information provided by intelligent sensors and a world modeler. We also discuss the compatibility of our architecture with cognitive models. We present the application of this architecture in one of the domains we have faced with it: service and edutainment robotics. (C) 2002 Elsevier Science B.V. All rights reserved.
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