3-D shape recognitions of target objects for stacked rubble withdrawal works performed by rescue robots

Hatano, Masaru; Fujii, T.

doi:10.1007/s10015-019-00566-6

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…It has been demonstrated through the testing trials that target stacked rubbles was identified separately by each individual robot. [11] Reducing the amount of time it takes to find victims can be accomplished in large part by using mobile robotics with optimal path planning. Sombolestan, S. M. et al propose a novel strategy that is based on reinforcement learning for seeking and discovering a concealed goal in an unfamiliar environment in the shortest amount of time.…”

Section: Terrain and Surface Related Research In Mobile Robot Systemmentioning

confidence: 99%

A Review Paper on Mobile Robots Applications in Search and Rescue Operations

Arunkumar,

Rajasekar,

Aishwarya

2023

Advances in Science and Technology

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Mobile robots have gained popularity in recent decades, owing to its capacity to be deployed in dangerous environments without jeopardizing humans. Mobile robotic vehicles are frequently used today to carry out tasks including environmental recognition, inspecting urbanized and industrial terrains, for search and rescue activities. Presently, search and rescue robot technology is progressing from experimental and theoretical studies towards applicability. The proper execution of a mobile robotic movement in a working environment depends on being aware of the nearby obstacles and avoiding any collisions that may occur. Robots today are integrated with several smart technologies that are necessary to model the environment and localize their position, control the movements, identify obstructions, and avoid obstacles based on the terrain and surface they are employed on by applying navigational procedures. This paper explores the various mobile robotics systems and their working currently in place utilized for rescue and search operations.

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Section: Terrain and Surface Related Research In Mobile Robot Systemmentioning

confidence: 99%

A Review Paper on Mobile Robots Applications in Search and Rescue Operations

Arunkumar,

Rajasekar,

Aishwarya

2023

Advances in Science and Technology

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“…Based on the tripartite competition mechanism, Han et al proposed an improved multi-objective particle swarm optimization algorithm to effectively solve the problems of multi-objective diversity and poor convergence performance [10]. Pereira et al developed a numerical model of complex structures by proposing equi-grid multi-objective optimization with six objectives, thereby reducing the instability of such grid tubes [11]. Based on reinforcement learning, Dang et al proposed a multi-objective optimized resource allocation model to achieve a better-distributed search [12].…”

Section: Related Workmentioning

confidence: 99%

Research on the Application of Multi-Objective Algorithm Based on Tag Eigenvalues in e-Commerce Supply Chain Forecasting

Huang,

Lian

2023

IJACSA

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With the continuous development of Internet technology, the scale of Internet data is increasing day by day, and business forecasting has become more and more important in corporate business decision-making. Therefore, to improve the accuracy of Multi Target Regression in the actual e-commerce supply chain forecasting, research through the method of constructing the labeling feature for each target is optimized, the Multi-Target Regression via Sparse Integration and Label-Specific Features algorithm is obtained, and the experimental analysis is carried out on the performance of the algorithm and the application effect in the actual e-commerce supply chain. The experimental results show that the average of Relative Root Mean Square Error value of the research algorithm and is the lowest in most datasets, with a minimum of 0.058 in the effect experiments of prediction and label-specific features; in the effect and flexibility experiments of sparse sets, the lowest average of Relative Root Mean Square Error value of the research algorithm was 0.058, and the average rank value was the smallest. In addition, the average of Relative Root Mean Square Error value of the research algorithm is the smallest under the target variable of Y2 in the Enb data, and its value is 0.075. In the actual e-commerce supply chain forecast, the research algorithm has the highest score of 0.097 points. Overall, research algorithm has a better forecasting effect and higher performance, and has better practicality in practice, and can play a better effect in actual e-commerce supply chain forecasting.

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“…Many experts and scholars at home and abroad have been researching deep well rescue robots for many years, achieving remarkable results in the smallcaliber deep well rescue field. However, smallcaliber deep well rescue robots still have many problems restricting their development [1][2]. These problems are mainly reflected in the following:…”

Section: Introductionmentioning

confidence: 99%

Kinematics Analysis and Simulation of the Frame Mechanism of a Small-Caliber Deep Well Rescue Robot

2024

IJOMAM

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Rescuing falling objects from small-diameter deep wells has always been difficult in the rescue field. Aiming at a series of problems, such as the unique condition of the small-diameter deep well and the difficulty of rescue, a small-diameter deep well rescue robot is proposed. Combined with the secondary injuries that may occur during the rescue process, the frame structure, lifting mechanism, walking mechanism, grasping mechanism, and bracket mechanism scheme of the deep well rescue robot are designed. Furthermore, the virtual prototype model of each mechanism is established based on SolidWorks' three-dimensional design software. According to the functions realized by each mechanism, a kinematic mathematical model of the bracket mechanism is established, the D-H parameter table in the process of movement is obtained, and the kinematic expression is derived. The coordinate transformation matrix in the movement process is obtained. Based on the Lagrange dynamic analysis method, a mathematical model of the dynamics of the bracket mechanism is established, the dynamic expression is derived, and the moment expression during the movement is obtained. Based on this, using SolidWorks software, the motion characteristics of the bracket mechanism of the deep well rescue robot are simulated, and the change law of the motion parameters during the movement is obtained, providing a reference for the optimization of the mechanism and the stability of the rescue.

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3-D shape recognitions of target objects for stacked rubble withdrawal works performed by rescue robots

Cited by 7 publications

References 8 publications

A Review Paper on Mobile Robots Applications in Search and Rescue Operations

A Review Paper on Mobile Robots Applications in Search and Rescue Operations

Research on the Application of Multi-Objective Algorithm Based on Tag Eigenvalues in e-Commerce Supply Chain Forecasting

Kinematics Analysis and Simulation of the Frame Mechanism of a Small-Caliber Deep Well Rescue Robot

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