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Design of an Omni-Direction Robot with Spherical Wheels
Dominic Campbell, Emanuele Lindo Secco
Pages - 1 - 9     |    Revised - 28-02-2022     |    Published - 01-04-2022
Volume - 14   Issue - 1    |    Publication Date - April 2022  Table of Contents
MORE INFORMATION
KEYWORDS
Omni-directional Wheel, Osaka Wheel Mechanism, Wheeled Robotics.
ABSTRACT
We proposed the design of an omni-direction robot which embeds 4 spherical wheels. The wheels are connected to 4 DC motors and controlled through an L298N boards which is powered with 2 LIPO batteries. A low-cost Arduino board oversees the system by controlling the motion and speed of the motor.

The wheels of the robot integrate an omni-directional mechanism and all components have been designed in Fusion 360 (Autodesk ®), manufactured with a 3D printer (Ender 5) an then assemble and integrated with the hardware and software of the system.

Preliminary tests show that the proposed solution is promising and provide a good reference for the manufacturing of low-cost robot.
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Buckley N, Sherrett L, Secco EL, A CNN sign language recognition system with single & double-handed gestures, IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), 1250-1253, 2021.
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Chu TS, Chua AY, Secco EL, A Study on Neuro Fuzzy Algorithm Implementation on BCI-UAV Control Systems, ASEAN Engineering Journal (AEJ), 2022.
Chu, T., Chua, A., & Secco, E. (2020). A Wearable MYO Gesture Armband Controlling Sphero BB-8 Robot. Hightech And Innovation Journal, 1(4), 179-186.
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Howard AM, Secco EL, A low-cost Human-Robot Interface for the Motion Planning of Robotic Hands, Intelligent Systems Conference (IntelliSys) 2021, Advances in Intelligent Systems and Computing, Lecture Notes in Networks and Systems, 296, 3(30), Springer.
Innes M, Secco EL, Design of an interactive BB8-like Robot, 7th International Congress on Information and Communication Technology (ICICT 2022).
Isherwood Z, Secco EL, A Raspberry Pi computer vision system for self-driving cars, Computing Conference 2022.
Manolescu VD, Secco EL, Design of an Assistive Low-Cost 6 d.o.f. Robotic Arm with Gripper, 7th International Congress on Information and Communication Technology (ICICT 2022).
McHugh D, Buckley N, Secco EL, A low-cost visual sensor for gesture recognition via AI CNNS, Intelligent Systems Conference (IntelliSys) 2020, Amsterdam, The Netherlands.
Ormazabal M, Secco EL, A low-cost EMG Graphical User Interface controller for robotic hand, Future Technologies Conference (FTC 2021), Lecture Notes in Networks and Systems, 2, 459-475, 2021, Springer.
Secco EL, McHugh D, Buckley N, A CNN-based Computer Vision Interface for Prosthetics’ application, EAI MobiHealth 2021 - 10th EAI International Conference on Wireless Mobile Communication and Healthcare.
Secco EL, Scilio J, Development of a symbiotic GUI for Robotic and Prosthetic Hand, Intelligent Systems Conference (IntelliSys) 2020, Amsterdam, The Netherlands.
Youtube.com. (2022c). Retrieved 8 March 2022, from https://www.youtube.com/watch?v=0DBXuZv38l8&ab_channel=Futurism.
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Dr. Dominic Campbell
Robotic Lab, School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, L16 9JD - United Kingdom
Dr. Emanuele Lindo Secco
Robotic Lab, School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, L16 9JD - United Kingdom
seccoe@hope.ac.uk


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