2013 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) 2013

DOI: 10.1109/cisda.2013.6595428

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A novel obstacle avoidance control algorithm in a dynamic environment

Galib R. Mallik

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Cited by 3 publications

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Horswill Algorithm Application to Avoid Obstacles

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2020

Lecture Notes in Electrical Engineering

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Horswill Algorithm Application to Avoid Obstacles

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2020

Lecture Notes in Electrical Engineering

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Robotic motion planning in unknown dynamic environments: Existing approaches and challenges

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et al. 2015

2015 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS)

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Path planning with obstacles avoidance in dynamic environments is a crucial issue in robotics. Numerous approaches have been suggested for the navigation of mobile robots with moving obstacles. In this paper, about 50 articles have been reviewed and briefly described to offer an outline of the research progress in motion planning of mobile robot approaches in dynamic environments for the last five years. The benefits and drawbacks of each article are also explained. These papers are classified based on their issues into ten groups which are: stability, efficiency, smooth path, run time, path length, accuracy, safety, future prediction (uncertainties), control, and less computation cost. Finally, some scope and challenging topics are presented based on the papers mentioned.

MOD-RRT*: A Sampling-Based Algorithm for Robot Path Planning in Dynamic Environment

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2021

IEEE Trans. Ind. Electron.

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