Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157557
Title: Vision-based control of intelligent robot networks
Authors: How, Jia Jin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: How, J. J. (2022). Vision-based control of intelligent robot networks. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157557
Abstract: It is observed that multi-robot systems are cheaper and more effective when compared to a single robot. However, the effectiveness of multi-robot systems in uncertain environments appears to lag natural formation control counterparts such as a swarm of ants and a flock of birds. This is because mobile robots are usually programmed and tested in a controlled environment and rely heavily on global positioning and orientation data. Thus, in this project, formation control, obstacle avoidance and loss of vision correction algorithms are designed with the consideration of uncertain environment. The control algorithms mainly use vision-based data such as LIDAR sensor and cameras for control. MATLAB and Simulink software were used for the testing and simulation of the control algorithms designed.
URI: https://hdl.handle.net/10356/157557
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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