Massively parallel optical chaotic sources with large bandwidth are demonstrated based on chaotic microcombs in the AlGaAsOI platform. 30-channel parallel random bit generation with 30 Gbit/s per channel is realized b...
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ISBN:
(纸本)9781957171258
Massively parallel optical chaotic sources with large bandwidth are demonstrated based on chaotic microcombs in the AlGaAsOI platform. 30-channel parallel random bit generation with 30 Gbit/s per channel is realized based on the chaotic source.
The paper proposes a novel approach for formation-containment control based on a dynamic event-triggering mechanism for multi-agent systems. The leader-leader and follower-follower communications are reduced by utiliz...
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This article describes the estimation of a 3D point using a Kinect sensor and the Robot Operating system (ROS) along with You Only Look Once (YOLO) for object detection. The Kinect sensor provides RGB-D images, which ...
This article describes the estimation of a 3D point using a Kinect sensor and the Robot Operating system (ROS) along with You Only Look Once (YOLO) for object detection. The Kinect sensor provides RGB-D images, which are used to create a Point Cloud representing the geometry of the environment. ROS is used as a robotics development framework, while YOLO is employed to identify objects in the scene. The article presents the packages used, the datasets used for measurement, and the configuration of ROS and YOLO. Additionally, the functionalities of RViz, a 3D visualization tool used in the tests, are explored. Furthermore, it covers the methods employed, the acquired data, and an analysis of the error margin in relation to the measurement of the distance between the Kinect and the object. The findings and techniques presented in this study contribute to addressing the challenges faced in the RoboCup@Home competition, specifically in the context of object manipulation tasks.
Precise calibration is the basis for the vision-guided robot system to achieve high-precision operations. systems with multiple eyes (cameras) and multiple hands (robots) are particularly sensitive to calibration erro...
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Automated Storage and Retrieval systems (AS/RS) are essential to the logistics system. The cost of this transportation can be reduced by improving the operation efficiency of AS/RS and decreasing the time required for...
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Automated Storage and Retrieval systems (AS/RS) are essential to the logistics system. The cost of this transportation can be reduced by improving the operation efficiency of AS/RS and decreasing the time required for in and out of warehouse orders. However, a bottleneck exists in the automated warehouse’s transportation capability and the sizeable occupied area. Therefore, the four-way shuttle-based storage system with stacker and four-way shuttle cars as a scheduling tool can increase the land utilization rate and reduce the time of input and output tasks. Meanwhile, the improved grey wolf optimizer and greedy algorithm are used to optimize the process of determining the location-allocation and delivery vehicle scheduling. The simulation shows that the optimization algorithm increases the shelf utilization rate and reduces time consumption by 28% and 17% respectively contrasting initial results. The advantages of an optimization algorithm can be fully reflected compared with the results of random scheduling.
Deep learning has greatly advanced medical image segmentation, especially with the integration of U-Net and Transformer architectures. However, challenges remain in clinical practice, such as low resolution, blurred e...
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In this paper, we present a new approach to estimate the pose of an object being manipulated by a multi-fingered robotic hand. The method utilizes advanced tactile sensors with high spatial resolution to optimize the ...
In this paper, we present a new approach to estimate the pose of an object being manipulated by a multi-fingered robotic hand. The method utilizes advanced tactile sensors with high spatial resolution to optimize the estimation of the object's pose using an Extended Kalman Filter (EKF) based approach. We defined and derived the state and measurement equations, as well as evaluated the estimation accuracy in grasping tasks. The approach is able to effectively account for the pose transition caused by tactile pushing, and the mapping from the object's pose to the contact position and normal direction as measured by the tactile sensor. The method was evaluated in multiple grasping experiments in simulation scenarios. Results show that the estimation can converge towards the ground truth in a relatively short period of time, with displacement and rotation errors remaining within acceptable levels. This new method has the potential to improve the accuracy and reliability of robotic grasping and manipulation tasks.
Underground coal mines are known for having extremely volatile environments that are gas prone, especially to methane that can unexpectedly erupt or spike. In this paper, a methane levels forecast system is proposed f...
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This study proposes a new constraint handling technique for assisting metaheuristic optimization algorithms to solve constrained optimization problems more effectively and efficiently. Given any two solutions of any c...
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