In order to adapt to navigation in unknown environment, the mobile robot must have intelligent abilities, such as environment cognition, behavior decision and learning. The navigation control algorithm is researched b...
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ISBN:
(纸本)9781538639818
In order to adapt to navigation in unknown environment, the mobile robot must have intelligent abilities, such as environment cognition, behavior decision and learning. The navigation control algorithm is researched based on Q learning method in this paper. Firstly, the corresponding environment state space is divided. The action sets mapping with states are set. And the reward function is designed which combines discrete reward returns and continuous reward. The feasibility of this algorithm is verified by computer simulation.
This paper presents an automatic inspection robot for insulators installed on 500kV power transmission lines. hi order to detect the poor insulators automatically, the robot's behaviors are analyzed, and a behavio...
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ISBN:
(纸本)9783037857519
This paper presents an automatic inspection robot for insulators installed on 500kV power transmission lines. hi order to detect the poor insulators automatically, the robot's behaviors are analyzed, and a behavior control model based on Finite State Machine (FSM) is established. Moreover, an exception handling method is proposed based on sensors and timers. The results of experiments in the laboratory prove that the control methods mentioned above are correct and valid. Experiments on a 500kV transmission live line show that the inspection robot can not only automatically move along the double insulator strings with variable intervals, but also reliably handle the abnormal conditions including slipping, power shortage, deadlocking, sensor abnormity, and probe loosening.
To control multi-robot exploring many targets in an unknown environment, the behavior control method should be set up. This paper presents six behavior control rules which contain searching rule along boundary, tracki...
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ISBN:
(纸本)9781424427994
To control multi-robot exploring many targets in an unknown environment, the behavior control method should be set up. This paper presents six behavior control rules which contain searching rule along boundary, tracking target rule, avoiding repeatedly exploring rule, route choosing rule, maximizing explored area rule and obeying traffic regulation rule. The traffic regulations presented herein contain two solutions to avoid collision for robots' heading actions or cross actions, which can enhance the probability of robots' collision avoidance. The six behavior control rules are not pure independence, but with some correlations. When we establish the control model of multiple robots, the behavior correlation analysis is considered based on the linear weighted summation evaluation function, to enhance robots collaborative efficiency. The particle swarm optimal (PSO) algorithm is used to solve the behavior control model. The simulation result shows the behavior control method presented in the paper can effectively control the multiple robots disposing the multiple targets and avoiding collision.
Different behaviors for the companion robot have already been extensively studied in the field of human-robot interaction. However, the accompanying "in front of the leader" behavior presented on this paper ...
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ISBN:
(纸本)9781467325769
Different behaviors for the companion robot have already been extensively studied in the field of human-robot interaction. However, the accompanying "in front of the leader" behavior presented on this paper is a useful and challenging behavior that has been overlooked by existing works. In this paper we explain the motivation behind this study and propose control strategy to implement this behavior.
The golden apple snail (Pomacea canaliculata) is a detrimental invasive pest of rice in Asia. Temperature is a critical factor to determine their invasiveness including the behavior and distribution of snails. In this...
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The golden apple snail (Pomacea canaliculata) is a detrimental invasive pest of rice in Asia. Temperature is a critical factor to determine their invasiveness including the behavior and distribution of snails. In this study, the behavioral responses of golden apple snails acclimated to different water temperatures (15 degrees C, 20 degrees C, 25 degrees C, and 30 degrees C) were examined based on Markov chain analysis, Shannon entropy, and Random forest modeling. Markov chains revealed that most snails maintained their previous behavior at low temperatures, while behavior transition tended to be higher at high temperature. Shannon entropy was also dependent on temperature (low at low temperature and high at high temperature), indicating that snails maintained their previous behavior for a long time at low temperature regardless having motion and motionless behavior, whereas they changed continuously their behavioral types at high temperature. The Random forest model showed that Shannon entropy at low temperature was influenced by crawling at the bottom or at side of the aquarium (motion behavior), while clinging to the side of the aquarium or clinging to the side of the aquarium with stretching out antennae were important behaviors determining Shannon entropy at high temperature. Our results showed that snails controlled their behavior to reduce their thermal stress and maintain a stable internal state in harsh environment. With this mechanism, they are able to overwinter in the open fields with low temperature in Korea, resulting in the increase of potential damage in agricultural ecosystems. Therefore, further study on the development of adequate management system is required to avoid their invasiveness to open water systems and ecological impacts. Finally, Shannon entropy, Markov chain, and Random forest model are useful computation methods to quantify the effects of temperature changes on the behavior of golden apple snails. (C) 2014 Elsevier B.V. All rights res
The Internet of Things (IoT) is expected to improve the individuals' quality of life. However, ensuring security and privacy in the IoT context is a non-trivial task due to the low capability of these connected de...
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The Internet of Things (IoT) is expected to improve the individuals' quality of life. However, ensuring security and privacy in the IoT context is a non-trivial task due to the low capability of these connected devices. Generally, the IoT device management is based on a centralized entity that validates communication and connection rights. Therefore, this centralized entity can be considered as a single point of failure. Yet, in the case of distributed approaches, it is difficult to delegate the right validation to IoT devices themselves in untrustworthy IoT environments. Fortunately, the blockchain may provide decentralization of overcoming the trust problem while designing a privacy-preserving system. To this end, we propose a novel privacy-preserving IoT device management framework based on the blockchain technology. In the proposed system, the IoT devices are controlled by several smart contracts that validate the connection rights according to the privacy permission settings predefined by the data owners and the stored record array of detected misbehavior of each IoT device. In fact, smart contracts can immediately detect the devices that have vulnerabilities and have been hacked or pose a threat to the IoT network. Therefore, the data owner's privacy is preserved by enforcing the control over the own devices. For validation purposes, we deploy the proposed solution on a private Ethereum blockchain and give the performance evaluation.
A swarm is a "complex adaptive system", which is decentralized and self-organized and whose individuals are simple, homogeneous and autonomous. Swarm intelligence is defined to describe its emergent behavior...
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A swarm is a "complex adaptive system", which is decentralized and self-organized and whose individuals are simple, homogeneous and autonomous. Swarm intelligence is defined to describe its emergent behaviors. Both wireless sensor networks and mobile multi-robots demonstrate swarm features. This paper first discusses the challenges of combining wireless sensor networks and mobile multi-robots, and then proposes a layered dual-swarm framework with three communication channels that can inherit traditional swarm technology while building an efficient interaction channel for both swarms to cooperate. In order to improve the system controllability, a new type of numerical entity called "virtual entity" and related control strategies are introduced. Finally, proof-of-concept implementations are presented and illustrated with simulation scenarios and a physical testbed. The experimental results show that the WSN-MMR swarm system can emerge successfully and robustly from swarm intelligence. (C) 2011 Elsevier Ltd. All rights reserved.
Objective Cervical cancer is considered treatable as long as it is detected early and managed effectively. Pap smear test is a screening tool that plays an important role in the early detection, prevention and can pre...
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Objective Cervical cancer is considered treatable as long as it is detected early and managed effectively. Pap smear test is a screening tool that plays an important role in the early detection, prevention and can prevent any early cervical cell changes from becoming cancer. This study aims to survey the effect of educational programs based on beliefs, subjective norms, and perceived behavior control on doing the pap-smear test in a sample of Iranian women. Materials and methods This experimental interventional study was performed on 300 women admitted to Fasa City, Fars Province, Iran health centers in 2018-2019. A questionnaire consisting of demographic information, knowledge, Health Belief Model, and Theory of Planned behavior constructs were used to measure on doing of Pap smear test in women before and after 6 months' educational intervention. Results The results revealed that 6 months after the intervention, 108 women (72%) in the experimental group and only 9 women (6%) in the control group received the Pap smear test. Conclusions The current research results revealed that education based on the combination of the health Belief model and theory of planned behavior might be promoting participation and an increasing rate of receiving Pap smear tests in women.
The purpose of this paper is to examine whether behavior control and output control affect managerial performance indirectly through empowerment. Specifically, this paper hypothesizes that behavior control and output ...
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The purpose of this paper is to examine whether behavior control and output control affect managerial performance indirectly through empowerment. Specifically, this paper hypothesizes that behavior control and output control affect managerial performance via the mediating cognitions meaning, competence, self-determination and impact. The responses of 52 managers and senior-managers, drawn from a Big Four accounting firm in the Netherlands, to an online survey were analyzed by using the partial least square structural equation modeling (PLS – SEM). The results indicate that the effect of behavior control and output control on managerial performance is not mediated by the cognitions of empowerment. However, output control has an acceptable direct effect on managerial performance and the cognitions impact and competence are significantly associated with managerial performance.
This paper presents an embedded control architecture constructed for Robo-Erectus, a soccer-playing humanoid robot developed at the Advanced Robotics and Intelligent control Centre of Singapore Polytechnic. The Robo-E...
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This paper presents an embedded control architecture constructed for Robo-Erectus, a soccer-playing humanoid robot developed at the Advanced Robotics and Intelligent control Centre of Singapore Polytechnic. The Robo-Erectus team has participated in the KidSize category of RoboCup's Humanoid League since 2002, collecting different awards. The latest version of Robo-Erectus has many capabilities that can be exploited to improve the robot's behavior. The new embedded controller has made possible the first stage of the performance ( displayed during RoboCup 2007), including network communication, mapping, and localization. The new mechanical, electronic design, embedded control architecture, and control schemes are described in this paper. In addition to the hardware, the paper presents details of the modules for gait generation, vision, behavior control, and communication.
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