In this paper, a mixed robust feedback linearization with a robust higher order sliding mode control structure is applied to a small-size autonomous helicopter in hover. In the present work, a traditional sliding mode...
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In order to increase the movement capability of the robotic visual system in threedimension space, the paper designs an obstacle-avoidance algorithm based on robotic movement visual by effectively processing the visua...
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In recent years, the cloud has emerged as an attractive means for hosting and delivering services over the Internet. This has resulted in a renewed focus on information security in the case where data is stored in the...
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ISBN:
(纸本)9789898565525
In recent years, the cloud has emerged as an attractive means for hosting and delivering services over the Internet. This has resulted in a renewed focus on information security in the case where data is stored in the virtual space of the cloud and is not physically accessible to the customer. This paper addresses the increasing security concerns of migrating to the cloud and utilising it for data storage, focusing on securing data in an untrusted cloud environment and ensuring detailed data access control in the cloud.
The strip thickness control of 1500 for hot rolling with the MATLAB simulation not only improve the accuracy [1], the dynamic and steady state performance of the system [2], but also enhance the robustness of the syst...
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ISBN:
(纸本)9783037858066
The strip thickness control of 1500 for hot rolling with the MATLAB simulation not only improve the accuracy [1], the dynamic and steady state performance of the system [2], but also enhance the robustness of the system by the establishment of expert fuzzy controller. The expert fuzzy control in hot strip thickness control provides a new and available application example in this paper.
The proceedings contain 25 papers. The topics discussed include: a novel self-adaptive search algorithm for unstructured peer-to-peer networks utilizing learning automata;intelligent position control of slider-crank m...
ISBN:
(纸本)9781467363150
The proceedings contain 25 papers. The topics discussed include: a novel self-adaptive search algorithm for unstructured peer-to-peer networks utilizing learning automata;intelligent position control of slider-crank mechanism in the ship's propeller;an improved PSO-based path planning algorithm for humanoid soccer playing robots;biped robot joint trajectory generation using PSO evolutionary algorithm;human-inspired ensemble pruning using hill climbing algorithm;combination of Krill herd algorithm with chaos theory in global optimization problems;minimizing cognition cost using conditional vision for humanoid soccer robot;new applied methods for optimum GPS satellite selection;an IMU-based system identification technique for quadrotors;an approach to design a robust software architecture and an intelligent model for multi-agent systems;flexible snake robot: design and implementation;and hand gestures recognition using dynamic Bayesian networks.
In order to solve the problems in swarm robotics cooperation collision avoiding, this study tries to design some new cooperation collision avoiding strategies based on game theory so as to establish internal cooperati...
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In this paper we propose a novel approach for combining information from low cost multiple sensors for people detection on a mobile robot. Robustly detecting people is a key capability needed for robots that operate i...
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ISBN:
(纸本)9789898565716
In this paper we propose a novel approach for combining information from low cost multiple sensors for people detection on a mobile robot. Robustly detecting people is a key capability needed for robots that operate in populated environments. Several works show the advantages of fusing data coming from complementary sensors. Kinect sensor offers a rich data set at a significantly low cost, however, there are some limitations using it in a mobile platform, mainly that Kinect relies on images captured by a static camera. To cope with these limitations, this work is based on the fusion of Kinect and thermopile array sensor mounted on top of a mobile platform. We propose the implementation of evolutionary selection of people detection supervised classifiers built using several computer vision transformation. Experimental results carried out with a mobile platform in a manufacturing shop floor show that the percentage of wrong classified using only Kinect is drastically reduced with the classification algorithms and with the combination of the three information sources.
The concept of Deep Level Situation Understanding is proposed to realize human-like natural communication among agents (e.g., humans and robots/machines), where it consists of surface level understanding (such as gest...
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ISBN:
(纸本)9789898565716
The concept of Deep Level Situation Understanding is proposed to realize human-like natural communication among agents (e.g., humans and robots/machines), where it consists of surface level understanding (such as gesture/posture recognition, facial expression recognition, and speech/voice recognition), emotion understanding, intention understanding, and atmosphere understanding by applying customised knowledge of each agent and by taking considerations to careful attentions. It aims to not impose burden on humans in human-machine communication, to realize harmonious communication by excluding unnecessary troubles or misunderstandings among agents, and finally to create a peaceful, happy, and prosperous humans-robots society. A scenario is established to demonstrate several communication activities between a businessman and a secretary-robot/a human-boss/a waitress-robot/a human-partner/a therapy-robot (PARO) in one day.
Equivalent Temperature is generally considered an accurate predictor for thermal comfort in car cabins. However, direct measurement of this parameter is impractical in fielded applications. The paper presents an empir...
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ISBN:
(纸本)9789898565709
Equivalent Temperature is generally considered an accurate predictor for thermal comfort in car cabins. However, direct measurement of this parameter is impractical in fielded applications. The paper presents an empirical, multiple linear regression based approach for estimating body segment equivalent temperatures for car cabin occupants from different sensors within the car. Body part equivalent temperature at eight segments and cabin sensor data (air temperature, surface temperature, mean radiant temperature, humidity and solar load) was gathered in a variety of environmental and cabin conditions. 38 experimental hours of trials in a controlled environment and 26 experimental hours of realistic driving trials were used for training and evaluating the estimator's performance. The estimation errors were on average between 0.5 °C and 1.9 °C for different body parts for trials within a controlled environment, while for trials in realistic driving scenarios they ranged between 1 °C and 2 °C. This demonstrates that passenger body part equivalent temperature can be estimated using a multiple linear regression from environmental sensors and leads the way to comfort driven Heating, Ventilation and Air Conditioning control.
This paper surveys and analyzes the relevant literature on robot control architectures. The design of an efficient collaborative multi-robot framework that ensures the autonomy and the individual requirements of the i...
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