This paper aims to propose a fuzzy PID controller based on quantum computing to enable the bipedal robot system to achieve autonomous balanced walking and obstacle avoidance. The hardware configuration of this system ...
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ISBN:
(纸本)9798350359893;9798350359886
This paper aims to propose a fuzzy PID controller based on quantum computing to enable the bipedal robot system to achieve autonomous balanced walking and obstacle avoidance. The hardware configuration of this system uses Arduino Mega 2560 as the main control board, and is equipped with an MPU-6050 gyroscope and a Pixy2.1 vision module to provide all the sensing data required for the bipedal robot to walk and avoid obstacles, and to obtain the robot location and environmental obstacle information in real time. The control strategy uses quantum computing to perform operations on the fuzzy PID controller to generate control commands so that the bipedal robot can achieve stable walking and obstacle avoidance. In addition, the study also compared the performance between quantum computing and traditional computing, thereby demonstrating the excellent performance of quantum computing in the control required for bipedal robots. Finally, this study verified the effectiveness of the proposed fuzzy PID controller for quantum computing through experiments in which the biped robot walked autonomously and balancedly on flat ground and narrow paths to avoid obstacles.
The enhancement of signal-to-noise ratio (SNR) represents a significant challenge for distributed optical fiber acoustic sensing systems. This paper presents a distributed optical fiber acoustic sensing system based o...
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This paper specializes in the layout and optimization of adaptive community coding algorithms for WiFi networks. The goal of those algorithms is to maximize the performance of network transmissions at the same time as...
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The internet’s evolution has highlighted cloud computing’s limitations, such as latency and bandwidth issues, prompting interest in edge computing to address these. Effective load balancing is essential to fully lev...
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A coding method, network layer coding, is proposed to enable the parameters of convolutional neural networks to be encoded as chromosomes without loss of genetic effects. Using this coding approach, we try to train ne...
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With the development of cloud computing, more enterprises choose the cloud to manage data. However, the issue of privacy has been a stumbling block to cloud computing. Encrypting data, as a powerful way to figure out ...
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Distributed source coding (DSC) is a coding architecture that utilizes the correlation among multiple sources to compress them. It can be achieved by using entropy coding instead of channel codes. We propose a new DSC...
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Network coding was applied to transmit information between network nodes to enhance throughput and efficiency. Security for network encryption is an interesting topic. There are some cryptosystems built on the discret...
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This paper examines the need for imposing data safety models to reduce cyber security risks in networked packages. Security models enable groups to research the current kingdom in their networks and evaluate the assoc...
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With the rapid growth of informationtechnology (IT), the amount of data generated by various industries in modern society is exploding. However, while enjoying the convenience brought by data, how to ensure the priva...
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