Evaluation Criterion of Wheeled Mobile Robotic Platforms on Grounds: A Survey

Ryu, Sijun; Won, Jeeho; Chae, Hobyeung; Kim, Hwa Soo; Seo, TaeWon

doi:10.1007/s12541-023-00912-6

Cited by 5 publications

(3 citation statements)

References 93 publications

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“…Operating a robot network is one of the most promising technologies for forestry in the future. It is important to know the correct specification of existing robots for use in the right place or environment [94]. As outlined in the sections above, it can be a major advantage to link devices that can help a robot maneuver the environment with data that are valuable to forest operators and researchers.…”

Section: Sensor Network Operationmentioning

confidence: 99%

Sensors for Digital Transformation in Smart Forestry

Ehrlich-Sommer,

Hoenigsberger,

Gollob

et al. 2024

Sensors

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Smart forestry, an innovative approach leveraging artificial intelligence (AI), aims to enhance forest management while minimizing the environmental impact. The efficacy of AI in this domain is contingent upon the availability of extensive, high-quality data, underscoring the pivotal role of sensor-based data acquisition in the digital transformation of forestry. However, the complexity and challenging conditions of forest environments often impede data collection efforts. Achieving the full potential of smart forestry necessitates a comprehensive integration of sensor technologies throughout the process chain, ensuring the production of standardized, high-quality data essential for AI applications. This paper highlights the symbiotic relationship between human expertise and the digital transformation in forestry, particularly under challenging conditions. We emphasize the human-in-the-loop approach, which allows experts to directly influence data generation, enhancing adaptability and effectiveness in diverse scenarios. A critical aspect of this integration is the deployment of autonomous robotic systems in forests, functioning both as data collectors and processing hubs. These systems are instrumental in facilitating sensor integration and generating substantial volumes of quality data. We present our universal sensor platform, detailing our experiences and the critical importance of the initial phase in digital transformation—the generation of comprehensive, high-quality data. The selection of appropriate sensors is a key factor in this process, and our findings underscore its significance in advancing smart forestry.

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Section: Sensor Network Operationmentioning

confidence: 99%

Sensors for Digital Transformation in Smart Forestry

Ehrlich-Sommer,

Hoenigsberger,

Gollob

et al. 2024

Sensors

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“…Now that the system is in the eigen value coordinate system, it should be mapped into the original equation (45). To strengthen the concept, consider the response of the WMRS, which is obtained from its dynamic equations [16]:…”

Section: Lorenz System and Its Analyses For The Wmrs Controller Frame...mentioning

confidence: 99%

“…Conversely, dynamic performance can be defined as the wheel's perceived acceleration capability of the actuators or of the wheel itself [12]. In robotics literature, less attention has been paid to the dynamics analysis of mobile robots [13][14][15][16]. Using the methodologies from the dynamics of wheeled mobile robotics to analyse the performance of mobile robots is the next step in achieving an optimal design.…”

Section: Introductionmentioning

confidence: 99%

Modelling the Dynamics of a Wheeled Mobile Robot System Using a Hybridisation of Fuzzy Linear Quadratic Gaussian

Finecomess,

Gebresenbet,

Alwan

2024

Preprint

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Wheeled mobile robot dynamics and suitable controller design are challenging but rewarding fields of study. By understanding the dynamics of wheeled mobile robots, it could be possible to design suitable hybrid control schemes for wheeled mobile robots. Since hybrid control schemes involve combining individual control methods to create a more effective overall control strategy. This can be done in a variety of ways, such as using fuzzy linear quadratic Gaussian control. We were therefore inspired to create dynamic models and their controller designs for the wheeled mobile robot by examining the dynamics of the wheeled mobile robot. The novelty of the current paper is to hybridize the different control schemes for wheeled mobile robots in order to get better performance. Entire systems models were simulated in a MATLAB/SIMULINK environment. The results obtained for the settling time response by FLQG were 87.1% over LQG; this study compared the effectiveness of current and previous FLQG controllers in external disturbances and found peak amplitude improvements of 71.25%. Therefore, the proposed controller is suitable for use with the wheeled mobile robot.

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