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Proceedings Second EUROMICRO Workshop on Advanced Mobile Robots最新文献

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An architecture for autonomous agents integrating symbolic and behavioral processing 集成符号和行为处理的自主代理体系结构
Pub Date : 1997-10-22 DOI: 10.1109/EURBOT.1997.633562
A. Chella, S. Gaglio, G. Sajeva, F. Torterolo
A new architecture for autonomous agents is proposed. The architecture integrates the symbolic and the behavioral processing of data coming from the robot sensors. The integration is based on the introduction of a conceptual space representation that links the subconceptual level, which is a repository of behavioral modules, with the symbolic level, in which rich symbolic descriptions of the agent environment take place.
提出了一种新的自主代理体系结构。该架构集成了来自机器人传感器的数据的符号处理和行为处理。该集成基于概念空间表示的引入,该表示将子概念层(行为模块的存储库)与符号层(对代理环境进行丰富的符号描述)联系起来。
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引用次数: 9
Robustness characteristics of POLLICINO system for autonomous robot self-localization 自主机器人自定位POLLICINO系统的鲁棒性
Pub Date : 1997-10-22 DOI: 10.1109/EURBOT.1997.633624
R. Cassinis, D. Grana, A. Rizzi, V. Rosati
POLLICINO is a system for autonomous mobile robot self-localization along previously learned routes in a dynamic environment. The system is based on a conical device that allows an omnidirectional perception of the environment and on a learning system. Robustness tests involving occlusion and robot rotations are presented.
policino是一种在动态环境下,自动移动机器人沿已知路径进行自我定位的系统。该系统基于一个锥形装置,允许对环境进行全方位感知,并基于一个学习系统。提出了包括遮挡和机器人旋转在内的鲁棒性测试。
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引用次数: 2
A bee-inspired robot visual homing method 一种受蜜蜂启发的机器人视觉归巢方法
Pub Date : 1997-10-22 DOI: 10.1109/EURBOT.1997.633620
G. Bianco, R. Cassinis, A. Rizzi, N. Adami, P. Mosná
This paper presents a proposal for a visual homing algorithm inspired by the behaviours of social insects. The homing method presented is based on an affine motion model of which parameters are estimated by the best matching criteria. In the matching phase no attempts are made either to recognise objects or to extract 3D models of the scene. Hypotheses and perspectives about the use of single landmarks by bees are introduced. The tests and experimental results are presented.
本文提出了一种受群居昆虫行为启发的视觉归巢算法。提出了一种基于仿射运动模型的寻的方法,该模型的参数由最优匹配准则估计。在匹配阶段,既不尝试识别物体,也不尝试提取场景的3D模型。介绍了蜜蜂使用单一地标的假设和观点。给出了测试结果和实验结果。
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引用次数: 12
期刊
Proceedings Second EUROMICRO Workshop on Advanced Mobile Robots
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