Application of the Fuzzy Logic for the Development of Automnomous Robot with Obstacles Deviation

Dias, Lucas Alves; Silva, Roger William de Oliveira; Emanuel, Dr. Paulo César da Silva; Filho, Andre Ferrus; Bento, Rodrigo T.

doi:10.1007/s12555-017-0055-9

Cited by 15 publications

(5 citation statements)

References 14 publications

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“…The developed techniques and knowledge have improved mobile robots both at the device and systems level. Techniques of Artificial Intelligence have pushed the navigation of mobile robots to autonomous driving and obstacles avoidance (Dias et al 2018). At the system level, mobile robots are able to operate in cloud environments that can provide on-demand computing services (Xu 2012) and support in smart decision-making in the scheduling process with mobile robots (Liu et al 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics

et al. 2020

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Manufacturing flexibility improves a firm's ability to react in timely manner to customer demands and to increase production system productivity without incurring excessive costs and expending an excessive amount of resources. The emerging technologies in the Industry 4.0 era, such as cloud operations or industrial Artificial Intelligence, allow for new flexible production systems. We develop and test an analytical model for a throughput analysis and use it to reveal the conditions under which the autonomous mobile robots (AMR)-based flexible production networks are more advantageous as compared to the traditional production lines. Using a circular loop among workstations and inter-operational buffers, our model allows congestion to be avoided by utilizing multiple crosses and analyzing both the flow and the load/unload phases. The sensitivity analysis shows that the cost of the AMRs and the number of shifts are the key factors in improving flexibility and productivity. The outcomes of this research promote a deeper understanding of the role of AMRs in Industry 4.0-based production networks and can be utilized by production planners to determine optimal configurations and the associated performance impact of the AMR-based production networks in as compared to the traditionally balanced lines. This study supports the decision-makers in how the AMR in production systems in process industry can improve manufacturing performance in terms of productivity, flexibility, and costs.

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Section: Literature Reviewmentioning

confidence: 99%

Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics

et al. 2020

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“…Fuzzy Logic (FL) is a type of many-valued logic in which variables' truth values can be any real number between 0 and 1 introduced by Lotfi A. Zadeh in 1965 [109]. It is used to deal with the concept of partial truth, in which the truth value can range from completely true to completely false.…”

Section: A Fuzzy Logicmentioning

confidence: 99%

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

2023

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Automated Guided Vehicle (AGV) have received a lot of attention in recent years in terms of both hardware and software research. Nowadays, the AGV offer more adaptable and effective industrial and transportation system solutions. An AGV navigation techniques is essential to its operation. The decision to use AGV navigation is not simple, though to be suite to the application and sufficient. This paper survey the navigation approaches applied in AGV in the past five years of published academic research. In doing so, this work responds to three related questions: (1) is the AGV classical navigation techniques still relevant to the current application area; (2) is the heuristic navigation techniques itself able to optimize AGV movement in term of guide and strategy; (3) is the use of Artificial Intelligence (AI) in AGV navigation techniques able to increase system performance. As a result, numerous techniques for the AGV navigation have been developed globally. On the other hand, the most popular navigation approaches are provided below for more research.

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“…In the case of AGVs, designers will intentionally cut off routes that are inefficient [5] [6]. This could be due to tight corridors or areas of high foot traffic, however, since the introduction of AMRs, route planning has become significantly more dynamic as they are not confined to a track [7]. This freedom to travel down corridors and through confined spaces comes with limitations as occupants are still capable of stopping the robot on route.…”

Section: Literature Reviewmentioning

confidence: 99%

Autonomous Mobile Robots in High Occupancy Aerospace Manufacturing

Martin¹,

Gao²,

Wilson³

et al. 2021

Advances in Transdisciplinary Engineering

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Using a combination of active Radio-Frequency Identification tracking and staff interviews with members from an aerospace manufacturing company, it was uncovered that over 80 hours per week was spent in the manual movement of goods between departments. On a site of over 1000 employees that uses dedicated build cells in separated departments, this mixed-use facility proves challenging for the adoption of an autonomous delivery system due to its narrow corridors and high occupancy, however by investigating the concerns of employees and suggesting low-cost retroactive solutions, this project seeks to justify the transition from manual to automated onsite logistics. The conclusion found that indeed the company does have the transport yields to justify the use of Autonomous Mobile Robots, that the robots would supplement rather than replace workers and that safety was a key factor to address when using robots on a site of this configuration.

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Application of the Fuzzy Logic for the Development of Automnomous Robot with Obstacles Deviation

Cited by 15 publications

References 14 publications

Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics

Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics

A Survey on Navigation Approaches for Automated Guided Vehicle Robots in Dynamic Surrounding

Autonomous Mobile Robots in High Occupancy Aerospace Manufacturing

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