ICRAI

Depth images acquired by consumer depth sensors, such as Kinect and ToF, usually are of low resolution and insufficient quality. This limits the application of these depth sensors. Therefore, depth map enhancement is essential to its application. Most ...

In this work, we develop a novel IMU (Inertial Measurement Unit)-aided plane-based visual odometry method to estimate the pose of an RGB-D camera and reconstruct large scale corridor-like environments. The camera with an IMU chip attached to it is ...

Recurrent neural networks (RNNs) like Long Short-term Memory (LSTM) have shown excellent performance for a variety of sequence learning problems on language and speech processing. Previous works leveraging RNNs for action recognition mainly apply LSTM ...

The current medical method for determining whether the malignant tumor of the head and neck metastasizes to the lymph is to interpret the pathological section of the patient's lymph. This study proposes a support vector machine (SVM) based method Pred-...

At present, deep learning methods represented by artificial neural networks (ANN) has been applied in the fields of image recognition, natural language processing, intelligent control, and big data analysis. However, whether deep learning is suitable ...

In the production of compound fertilizer, real-time detection of components was required to achieve the purpose of guiding production. In this paper, laser-induced breakdown spectroscopy technique combined with support vector machine (SVM)was used to ...

This paper considers the problem of scheduling n resumable jobs to minimize total weighted completion time, in which maintenance activities periodically occur after a continuously working time. This problem has been proven to be NP-hard. Using lower ...

The development of Human Action Recognition (HAR) system is getting popular. This project developed a HAR system for the application in the surveillance system to minimize the man-power for providing security to the citizens such as public safety and ...

In this paper, we report on our early results on deploying unsupervised learning technique for solving a multi-goal path planning problem to determine a shortest path to visit a given set of 3D regions. The addressed problem is motivated by data ...

This paper focuses on the design of the event-triggered control when the system has external disturbance. Firstly, event-triggered robust H∞ control system with an output feedback controller is studied. An event condition based on the output error is ...

In this paper, the fault injection method is used to simulate the fault mode of avionics system. By collecting the information of three faults and normal state of CPLD synergic circuit, the fault sensitive parameter sample set is obtained by feature ...

Mini-robots have been developed as a way of getting in narrow and critical spaces in order to explore collapsed structures, hazardous places for rescuers to preserve lives. The objective is to distribute the agents on these environments and complete ...

With the increasing capacity of airports, the phenomenon of aircrafts queuing for takeoff is becoming more and more common. For category II/III instrument landing operations, there are strict regulations for the protection areas (including critical and ...

Many diseases related to legs movement or walking are more and more perplexed. In order to help these people, medical science and engineering have been working together to provide solutions to improve people's quality of life. In this case, exoskeleton ...

By analyzing the pain points of port logistics, which include high cost of logistics personnel, difficult management of storage yard, low efficiency of warehouse operation, operational risk, and etc., the requirements of logistics robots in unmanned ...

The advantages of serial robots in flexibility, reach area and cost are considerable, while the application in many industrial fields is limited by the shortage of stiffness. Translation stiffness is a part of Cartesian stiffness, it determines the ...

In the dynamic environment, the problem of constantly changing positions of obstacles and intruders, a no formation adaptive pursuit algorithm is proposed. The algorithm can complete pursuing intruders effectively under the dynamic environment, that is, ...

Sampling-based path planning algorithms like Rapidly-exploring Random Trees (RRT) are widely used to solve path planning problems for robots with many Degrees Of Freedom (DOF). Although the sampling-based planners are stochastic and provide different ...