Reduced Search Space Algorithm for Simultaneous Localization and Mapping in Mobile Robots

Omranpour, Hesam; Shiry, Saeed

doi:10.11591/ijra.v1i1.274

Cited by 4 publications

(4 citation statements)

References 17 publications

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“…Omranpour et al proposed a new method using the evolutionary process to solve localization simultaneously with mapping (Omranpour and Shiry, 2012). Balasubramaniam and Rajeswari proposed a path planning strategy for a mobile robot in which the navigation is dependent on initial to the destination position.…”

Section: Related Workmentioning

confidence: 99%

Optimal path planning for intelligent automated wheelchair using DDSRPSO

Thirugnanasambandam¹,

Raghav

Loganathan

et al. 2020

IJPCC

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Purpose This paper aims to find the optimal path using directionally driven self-regulating particle swarm optimization (DDSRPSO) with high accuracy and minimal response time. Design/methodology/approach This paper encompasses optimal path planning for automated wheelchair design using swarm intelligence algorithm DDSRPSO. Swarm intelligence is incorporated in optimization due to the cooperative behavior in it. Findings The proposed work has been evaluated in three different regions and the comparison has been made with particle swarm optimization and self-regulating particle swarm optimization and proved that the optimal path with robustness is from the proposed algorithm. Originality/value The performance metrics used for evaluation includes computational time, success rate and distance traveled.

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Section: Related Workmentioning

confidence: 99%

Optimal path planning for intelligent automated wheelchair using DDSRPSO

Thirugnanasambandam¹,

Raghav

Loganathan

et al. 2020

IJPCC

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“…By analysing complex network graph, we can get access rules of each node and divided nodes with same accessing rules into a behaviour sub-cluster. The identifying algorithms of behaviour sub-cluster can use community discovery algorithm in complex network and social network [22], [23]. There are some classic algorithms of identifying behaviour sub-cluster, such as KL algorithm [24], Newman algorithm [25], GN algorithm [26], CNM algorithm [27], etc.…”

Section: User Behaviour Sub-cluster Partitionmentioning

confidence: 99%

Abnormal User Behaviour Perception Method in SDN

Xu¹,

Li²,

Xu³

2018

International Journal of Robotics and Automation

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In order to address the security issue of SDN specifically, an abnormal user behaviour perception solution is proposed. In this solution, we obtained historical data of users' network access behaviour from the flow-table entries of SDN, and applied complex network analysis to abnormal user behaviour perception. First, user's network access behaviours are divided into some sub-clusters. Then, we quantified user's network access behaviours by calculating their relative entropies, which are mapped to the appropriate network access behaviour patterns. Finally, users' real-time network access behaviours within a certain period of time are identified accordingly. In addition, by calculating the ratio of the sum of relative entropy in abnormal user behaviour, sub-cluster and the sum of relative entropy in complex network also can sense the current network security situation. Comparing with traditional user behaviour perception methods, this solution has higher recognition accuracy and lower algorithm complexity. Thus, it effectively improved the computing efficiency.

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“…Consider a mobile robot known as HILARE. As it is seen in figure (1), it has two fixed wheels and an off-centered wheel.…”

Section: Dynamic Model Of the Robotmentioning

confidence: 99%

“…Wheeled mobile robots are implemented in many applications due to their ability to operate in wide environments and extended surroundings. Despite of robots with fixed base, the mobile robots can move and convey loads from a first position to final one which are enough far from each other [1][2][3][4][5][6]. To perform mission in variant environment, several types of mobile robot has been developed an implemented.…”

Section: Introductionmentioning

confidence: 99%

The Mobile Robot HILARE: Dynamic Modeling and Motion Simulation

Ghazal

Talezadeh

Taheri

et al. 2015

IJRA

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To perform mission in variant environment, several types of mobile robot has been developed an implemented. The mobile robot HILARE is a known wheeled mobile robot which has two fixed wheels and an off-entered orientable wheel. Due to extended application of this robot, its dynamic analysis has attracted a great deal of interests. This article investigates dynamic modeling and motion analysis of the mobile robot HILARE. As the wheels of the robot have kinematic constraints, the constraints of wheels are taken into consideration and the matrix form of the kinematic model of the robot is derived. Furthermore, dynamic model of the robot is developed by consideration of kinematic constraints. To derive dynamic equations of the robot, the Lagrange multiplier method is employed and the governing equations of the robot in state-pace form are presented. Then, some simulations are presented to show applicability of the proposed formulation for dynamic analysis of the mobile robot HILARE.

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Reduced Search Space Algorithm for Simultaneous Localization and Mapping in Mobile Robots

Cited by 4 publications

References 17 publications

Optimal path planning for intelligent automated wheelchair using DDSRPSO

Optimal path planning for intelligent automated wheelchair using DDSRPSO

Abnormal User Behaviour Perception Method in SDN

The Mobile Robot HILARE: Dynamic Modeling and Motion Simulation

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