A new modified IWO algorithm by using entropy and variance

Bagherzadeh, Neda; Mahdavi, Seyyed Javad Seyyed

doi:10.1109/ictck.2015.7582710

2015 International Congress on Technology, Communication and Knowledge (ICTCK) 2015

DOI: 10.1109/ictck.2015.7582710

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A new modified IWO algorithm by using entropy and variance

Neda Bagherzadeh

Seyyed Javad Seyyed Mahdavi

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2023

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“…Our innovative experience-based proposal autonomously determines the optimal control parameters of a snake-like robot in the current environment by entropy variance [11] [12] [13]. By tunning the optimal control parameter with regression value through the weighted least squares algorithm [14] [15], our strategy can make the robot progressively adjust to its surroundings.…”

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Experience-based learning for multi-parameter regression control of snake-like robots

Varma,

Abhishek

2023

Atlantis Highlights in Computer Sciences

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Snake-like robots, with their complex and multi-jointed structure, hold great potential for navigating complex environments. However, real-time manipulation of their movements can be challenging. As such, achieving autonomous mobility for these robots is a major area of research. This paper introduces a new machine learning-based control framework that utilizes a clustering algorithm to classify training data into multiple clusters. The motion control of snake-like robots involves multiple regression problems due to the multi-parameter control strategy. To address this, we propose a novel strategy that uses data from previous training to convert multiple regressions into a single regression problem for parameter modification. Our experimental results demonstrate the adaptability of the robots in different pipe environments using our algorithm framework.

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confidence: 99%

Experience-based learning for multi-parameter regression control of snake-like robots

Varma,

Abhishek

2023

Atlantis Highlights in Computer Sciences

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A new modified IWO algorithm by using entropy and variance

Cited by 1 publication

References 8 publications

Experience-based learning for multi-parameter regression control of snake-like robots

Experience-based learning for multi-parameter regression control of snake-like robots

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