This paper presents a Genetic Algorithm (GA) approach to evolving robot behaviours. We use fuzzy logic controllers (FLCs) to design robot behaviours. The antecedents of the FLCs are pre-designed, while their consequen...
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ISBN:
(纸本)0780378660
This paper presents a Genetic Algorithm (GA) approach to evolving robot behaviours. We use fuzzy logic controllers (FLCs) to design robot behaviours. The antecedents of the FLCs are pre-designed, while their consequences are learned using a GA. The Sony quadruped robots are used to evaluate proposed approaches in the robotic football domain. Two behaviours, ball-chasing and position-reaching, are studied and implemented. An embodied evolution scheme is adopted, by which the robot autonomously evolves its behaviours based on a layered control architecture. The results show that the robot behaviours can be automatically acquired through the GA-based learning of FLCs.
In this paper, we propose a novel approach to behavior-based control, which combines fuzzy logic with multiple objective decision theory. Fuzzy logic provides powerful tools for formulating sophisticated behavior-base...
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Information theoretic methods are used to characterise and identify robot-environment interactions, with a view to using these to build an embodied interaction history from the robot's perspective. A bottom-up app...
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In this paper, a biped robot is introduced, which is an instantiation of the principle of cheap design. The proposed biped robot is a light-weight skeleton-actuation mechanism with I I DOF motors, elastic limbs, and t...
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ISBN:
(纸本)0780378660
In this paper, a biped robot is introduced, which is an instantiation of the principle of cheap design. The proposed biped robot is a light-weight skeleton-actuation mechanism with I I DOF motors, elastic limbs, and tendon-supported joints. The sensor system of this robot is comprised of pressure sensors on the sole and a posture sensor at the hip position. An adaptive neural oscillator is employed as a controller. This paper presents some preliminary analysis of a biped robot exploiting elastic materials. The goal of this research is to explore principles of bipedal locomotion in the context of elastic materials. The experimental result shows such non-linearity of elastic material has a significant relation to the locomotion.
In this paper, a communication-efficient dynamic task scheduling algorithm for a heterogeneous multi-robot system is proposed. To make this task scheduling algorithm to be scalable for various robot teams, a distribut...
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Research efforts are underway to develop sophisticated computer models of human physiology, biomechanics, and appearance. Applications of these "digital humans" range from medical research to virtual reality...
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A motion compression method by max t-norm composite fuzzy relational equations (MCF) is proposed. In the case of MCF, a motion sequence is divided into intra,pictures (I-pictures) and predictive-pictures (P-pictures)....
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ISBN:
(纸本)0780378660
A motion compression method by max t-norm composite fuzzy relational equations (MCF) is proposed. In the case of MCF, a motion sequence is divided into intra,pictures (I-pictures) and predictive-pictures (P-pictures). The I-pictures and the P-pictures are compressed by using uniform coders and non-uniform coders, respectively. In order to perform an effective compression and reconstruction of the P-pictures, a design method of non-uniform coders is proposed. The proposed design method is based on an overlap level of fuzzy sets and a fuzzy equalization. Through an experiment using 10 P-pictures, it is confirmed that the root means square errors of the proposed method is decreased to 89.4% of the uniform coders, under the condition that the compression rate is 0.0057. A result of motion compression and reconstruction of motion (standard motion imagery) by MCF is also presented.
Unmanned Air Vehicles (UAVs) have several advantages and disadvantages compared with Unmanned Ground Vehicles (UGVs). Both systems have different mobility and perception abilities. UAV systems have extended perception...
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ISBN:
(纸本)9781424407897
Unmanned Air Vehicles (UAVs) have several advantages and disadvantages compared with Unmanned Ground Vehicles (UGVs). Both systems have different mobility and perception abilities. UAV systems have extended perception, tracking, and mobility capabilities compared with UGVs. UGVs have more intimate mobility and manipulation capabilities. This paper presents the research that has been conducted in the collaboration of UAVs and UGVs. This research demonstrates the use of a passive UAV system for tracking and state estimation of a UGV. This paper presents the UAV sensors and avionics, the algorithms for combining the UGV kinematics equations, and the geo-positioning algorithms used on the UAV to form a robust UGV state estimation. Experimental results are presented.
This paper proposes self-localization and map building methods based on a steady-state genetic algorithm and self organizing map for a mobile robot used for illuminance measurement. According to the measured distance ...
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ISBN:
(纸本)9781424407897
This paper proposes self-localization and map building methods based on a steady-state genetic algorithm and self organizing map for a mobile robot used for illuminance measurement. According to the measured distance by a laser range finder, the map is updated sequentially. When the difference between the self-position on the building map and the estimated self-position baesd on the measured distance is larger than the predefined threshold, the proposed method corrects the self-location and updates the map to be more accurate. Finally we show experimental results of the proposed method.
This paper presents a new behavior-based architecture for a mobile robot. The architecture coordinates behaviors based on a robot's internal condition and environment information. This approach combines the subsum...
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ISBN:
(纸本)0780378660
This paper presents a new behavior-based architecture for a mobile robot. The architecture coordinates behaviors based on a robot's internal condition and environment information. This approach combines the subsumption and schema-based approaches together with a unique feature called Request or Redundant Mode. By monitoring a behavior's expected outcome, an unproductive behavior can request its redundant behavior to take over a task. On the other hand, when the requesting behavior can do the task again, it can take the task back. The results show that a system with the new architecture yields better performance than a system without it. Moreover, the new architecture can change behaviors' levels and modes, add new behaviors, delete unused behaviors, and create new behaviors or tasks from existing behaviors at run-time, without reprogramming or restarting the entire system.
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