In this research, an electro thermal bimorph actuator with a shift register mounted in the drive unit was developed to simplify and downsize the control circuit of a soft robot. While conventional soft robots have fle...
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Despite the rapid advancement in the field of image recognition, the processing of high-resolution imagery remains a computational challenge. However, this processing is pivotal for extracting detailed object insights...
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Autonomous landing system are indispensable for unlocking the complete potential of unmanned aerial vehicle (UAV) without the necessity of human intervention in various industrial and commercial applications. In this ...
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Recent research has paid little attention to complex driving behaviors, namely merging car-following and lanechanging behavior, and how lane-changing affects algorithms designed to model and control a car-following ve...
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In order to improve the anti-noise performance of traditional image binarization methods, this paper proposes a novel binarization method for low-quality images based on threshold array system. The proposed method inv...
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This research delves into deep learning and machine vision applications for plant leaf disease detection in agricultural settings, focusing on farm village datasets. Utilizing a blend of authentic farm village data an...
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This paper presents the development of an automated fire extinguisher robot by employing fire recognition using computer vision. This project aims to develop a robot that can search, detect and extinguish small flames...
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In the complex environment simultaneous localization and mapping (SLAM) system, the use of a single laser or visual sensor is susceptible to external factors, which affects the accuracy of mobile robot mapping. A SLAM...
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This paper proposes a new distributed multi-robot path planning algorithm based on fuzzy logic control and reinforcement learning, which can navigate for robots searching for hidden targets in unknown environment. The...
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ISBN:
(纸本)9781665464680
This paper proposes a new distributed multi-robot path planning algorithm based on fuzzy logic control and reinforcement learning, which can navigate for robots searching for hidden targets in unknown environment. The algorithm is composed of two controllers, a fuzzy logic controller based on multiple behavior coordination strategy and a policy controller based on deep reinforcement learning. The first controller is used for roaming search to find the hidden targets, and the role of the second controller is to navigate from the current position to the targets. To check the performance of the algorithm, we simulate it in simulation environment built in the CoppeliaSim simulation software and implemented by e-Puck robots. The simulation results demonstrate the effectiveness of the proposed method.
The proceedings contain 10 papers. The topics discussed include: study on outdoor fog detection and image dehazing algorithm;framework for automated synthetic image generation for vehicle detection;enhanced object det...
ISBN:
(纸本)9798400707995
The proceedings contain 10 papers. The topics discussed include: study on outdoor fog detection and image dehazing algorithm;framework for automated synthetic image generation for vehicle detection;enhanced object detection in highly compressed images using regions of interest;a drunk identification system based on thermal imaging;nuclei segmentation method based on CycleGAN-generated images;attention-based efficient classification for 3D MRI image of Alzheimer’s disease;data sharing model of group robot system in emergency scenario based on improved PBFT;research on the activation status of brain regions during the execution of two tasks — a study based on the flanker task and finger tapping task;and research on resource allocation strategy of swarm robot based on historical information.
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