Design and Analysis Towards Successful Development of a Tele-Operated Mobile Robot for Underground Coal Mines

Ray, Dip Narayan; Das, Riddhi; Sebastian, Bijo; Roy, B. K.; Majumder, S.

doi:10.1007/978-81-322-2740-3_58

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…User. Like other robot products, the coal mine rescue robots need specialized teams for maintenance, training the operators, and calibrating the sensor regularly [78]. Therefore, the user of the rescue robot needs to establish a professional team to meet these needs.…”

Section: Analysis In Operators Andmentioning

confidence: 99%

The Encountered Problems and Solutions in the Development of Coal Mine Rescue Robot

Yong

Tian

Yu³

et al. 2018

Journal of Robotics

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Based on the various problems in the process of coal robot applications, from three-dimensional analysis of the key technology, market demand, and policy regulations and standardization, the paper reviews the use of carbon fiber material, elastic material of traditional surface spraying and integral casting technology to realize lightweight robot, by using the dual redundant design to improve the reliability of the rescue robot CPU, through the functions of voice recognition obstacle sensor, gas sensor acquisition components, and distribution information to realize the underground rescue mission. In addition, virtual test technology, hardware in the loop simulation technology, and shrinkage model technology are proposed to solve the difficulties of hard field testing of rescue robots. These suggest that concrete measures have been pointed out to break the problem of the development of the coal mine relief robot.

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Section: Analysis In Operators Andmentioning

confidence: 99%

The Encountered Problems and Solutions in the Development of Coal Mine Rescue Robot

Yong

Tian

Yu³

et al. 2018

Journal of Robotics

View full text Add to dashboard Cite

show abstract

“…For example, autonomous vehicles are constantly improving with the autonomous navigation capability [21] and have obtained the qualification on roads in some countries (e.g., Google autonomous vehicle). In the fields of coal mines, intelligent mobile robots have been used to replace the manual work and tedious repetitive operations [32]. Robots are key to future space exploration [6], and the autonomous navigation of mobile robots allows them to have better operation capabilities.…”

Section: Introductionmentioning

confidence: 99%

A novel navigation system for an autonomous mobile robot in an uncertain environment

Yong

2021

Robotica

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In this paper, we developed a new navigation system, called ATCM, which detects obstacles in a sliding window with an adaptive threshold clustering algorithm, classifies the detected obstacles with a decision tree, heuristically predicts potential collision and finds optimal path with a simplified Morphin algorithm. This system has the merits of optimal free-collision path, small memory size and less computing complexity, compared with the state of the arts in robot navigation. The modular design of 6-steps navigation provides a holistic methodology to implement and verify the performance of a robot’s navigation system. The experiments on simulation and a physical robot for the eight scenarios demonstrate that the robot can effectively and efficiently avoid potential collisions with any static or dynamic obstacles in its surrounding environment. Compared with the particle swarm optimisation, the dynamic window approach and the traditional Morphin algorithm for the autonomous navigation of a mobile robot in a static environment, ATCM achieved the shortest path with higher efficiency.

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A virtual test and evaluation method for fully mechanized mining production system with different smart levels

Xie

Cui

et al. 2022

Int J Coal Sci Technol

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A smart fully mechanized coal mining working face is comprised of various heterogeneous equipment that work together in unknown coal seam environments. The goal is to form a smart operational system with comprehensive perception, decision-making, and control. This involves many work points and complex coupling relationships, indicating it needs to be performed in stages and coordinated to address key problems in all directions and along multiple points. However, there are no existing unified test or analysis tools. Therefore, this study proposed a virtual test and evaluation method for a fully mechanized mining production system with different smart levels. This is based on the concept of “real data processing–virtual scene construction–setting key information points–virtual operation and evaluation.” The actual operational data for a specific working face geology and equipment were reasonably transformed into a visual virtual scene through a movement relationship model. The virtual operations and mining conditions of the working face were accurately reproduced. Based on the sensor and execution error analyses for different smart levels, the input interface for sensing, decision-making, and control was established for each piece of equipment, and an operation evaluation system was constructed. The system comprehensively simulates and tests the key points of sensing decision-making and control with various smart levels. The experimental results showed that the virtual scene constructed based on actual operational data has a high simulation degree. Users can simulate, analyze, and evaluate the overall operations of the smart mining 2.0–4.0 working face by inputting key information. The future direction for the smart development of fully mechanized mining is highlighted.

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Design and Analysis Towards Successful Development of a Tele-Operated Mobile Robot for Underground Coal Mines

Cited by 6 publications

References 4 publications

The Encountered Problems and Solutions in the Development of Coal Mine Rescue Robot

The Encountered Problems and Solutions in the Development of Coal Mine Rescue Robot

A novel navigation system for an autonomous mobile robot in an uncertain environment

A virtual test and evaluation method for fully mechanized mining production system with different smart levels

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