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Biologically Inspired Strategy for Searching a Moving Target in Intelligent Embodied Robots

thesis
posted on 25.03.2022, 04:44 by JULIAN KOK PING TAN
Despite the potential of bio-inspired strategies, adopting them into robots cannot be accomplished properly without considering the physical embodiment and interaction with the environment, known as the concept of embodied intelligence. This thesis proposes a bio-inspired unifying framework for searching for a moving target in intelligent embodied robots. Based on the framework, a strategy that can effectively search for a moving target with and without gradient information in a minimalistic robot will be presented. Furthermore, the best strategy for searching a moving target in an aerial drone as an example of a complex intelligent embodied robot will also be presented.

History

Campus location

Malaysia

Principal supervisor

Surya Girinatha Nurzaman

Additional supervisor 1

Tan Chee Pin

Year of Award

2022

Department, School or Centre

School of Engineering (Monash University Malaysia)

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Engineering