In today’s world, social distancing and use of masks have become the utmost habit. The Covid-19 Pandemic has severely disrupted almost every human being lifelong with the industrial deployment. Hospitality is major that has experienced the jolt of coronavirus. The luxurious hotels faced a severe cash crunch which resulted in their closure. To conquer this situation we develop an Autonomous Non-Humanoid robot using Raspberry Pi as a microprocessor. A Pi- the camera is used to detect hindrances/obstacles in the path of a robot in the real world. The robot will stop after detecting an obstacle and give a signal in the form of blinking of LED light and will stop blinking after the removal of the obstacle. The line following sensors is used for the robot to follow the path. The main objective of this robot is to deliver the food item ordered by customers from the kitchen of the particular hotel to the desired table. The robot is of table shaped of 240 sq. cm areas to fit in medium as well as small spaces. A maximum of two customers can be served in one go. The average speed of the robot will be 5m/s.

1.
S. S.
Ratan
. Strength of Materials 6th Edition,
Tata McGraw-Hill Publication
,
2010
2.
S.
Ramamrutham
.
Strength of Materials
6th Edition,
Dhanpat Rai Publication
,
2005
3.
Chen
,
Y.
,
Miao
,
Q.
,
Zheng
,
B.
,
Wu
,
S.
and
Pecht
,
M.
,
2013
.
Quantitative analysis of lithium-ion battery capacity prediction via adaptive bathtub-shaped function
.
Energies
,
6
(
6
), pp.
3082
3096
4.
Maksimovic
,
M.
,
Vujovic
,
V.
,
Davidovic
,
N.
,
Milosevic
,
V.
and
Perisic
,
B.
,
2014
.
Raspberry Pi as theInternet of things hardware: performances and constraints
.
design issues
,
3
(
8
), pp.
1
6
5.
Nayyar
,
A.
and
Puri
,
V.
,
2015
.
Raspberry Pi-a small, powerful, cost effective and efficient form factor computer: a review
.
International Journal of Advanced Research in Computer Science and Software Engineering
,
5
(
12
), pp.
720
737
6.
Arthikeyani
,
V.K.
,
Kirubhasudha
,
N.
,
Kiruthika
,
S.
,
Monisha
,
T.
and
Sivasankari
,
B.
,
2018
.
Raspberry Pi Based Intelligent Autonomous Campus Mobility Services.
7.
John
,
M.
,
2018
.
Comparative study on various system based on Raspberry-Pi Technology
.
International Research Journal of Engineering and Technology (IRJET)
,
5
(
01
), pp.
1486
1488
8.
Kucsera
,
P.É.T.E.R.
,
2006
.
Sensors for mobile robot systems
.
Academic and Applied Research in Military Science
,
5
(
4
), pp.
645
658
.
9.
Nikam
,
A.
,
Doddamani
,
A.
,
Deshpande
,
D.
and
Manjramkar
,
S.
,
2017
.
Raspberry Pi Based obstacle avoiding robot
.
International Research Journal of Engineering and Technology
,
4
(
2
), pp.
917
919
10.
Shilpashree
,
K.S.
,
Lokesha
,
H.
and
Shivkumar
,
H.
,
2015
.
Implementation of image processing on Raspberry Pi
.
International journal of advanced research in computer and communication engineering
,
4
(
5
), pp.
199
202
11.
Khalifa
,
A.F.
,
Badr
,
E.
and
Elmahdy
,
H.N.
,
2019
.
A survey on human detection surveillance systems for Raspberry Pi
.
Image and Vision Computing
,
85
, pp.
1
13
12.
Benezeth
,
Y.
,
Jodoin
,
P.M.
,
Emile
,
B.
,
Laurent
,
H.
and
Rosenberger
,
C.
,
2010
.
Comparative study of background subtraction algorithms
.
Journal of Electronic Imaging
,
19
(
3
), p.
033003
13.
Benezetha
,
Y.
,
Laurent
,
H.
,
Emilec
,
B.
and
Rosenbergerd
,
C.
,
Towards a sensor for detecting human presence and activity
.
Energy and Buildings, Elsevier
14.
Walter
,
S.
,
1987
, March.
The sonar ring: Obstacle detection for a mobile robot
. In
Proceedings. 1987 IEEE International Conference on Robotics and Automation
(Vol.
4
, pp.
1574
1579
). IEEE
15.
Babu
,
D.V.
,
Jenniffer
,
D.C.
and
Karthikeyan
,
R.
,
2020
, September.
Line follower robot & obstacle detection using PID controller
. In
AIP Conference Proceedings
(Vol.
2271
, No.
1
, p.
030005
). AIP Publishing LLC
16.
Lekkala
,
K.K.
and
Mittal
,
V.K.
,
2014
, July.
PID controlled 2D precision robot
. In
2014 International Conference on Control, Instrumentation, Communication and Computational Technologies (ICCICCT)
(pp.
1141
1145
). IEEE
17.
Kader
,
M.A.
,
Islam
,
M.Z.
,
Al Rafi
,
J.
,
Islam
,
M.R.
and
Hossain
,
F.S.
,
2018
, October.
Line Following Autonomous Office Assistant Robot with PID Algorithm
. In
2018 International Conference on Innovations in Science, Engineering and Technology (ICISET
) (pp.
109
114
). IEEE
18.
Mugure
,
M.A.
,
2019
.
DESIGN AND FABRICATION OF AN AUTONOMOUS LINE FOLLOWER ROBOT CAPABLE OF PICKING AND DROPPING OBJECTS FROM ONE POINT TO ANOTHER
(Doctoral dissertation,
Kenyatta University
)
19.
Pakdaman
,
M.
,
Sanaatiyan
,
M.M.
and
Ghahroudi
,
M.R.
,
2010
, February.
A line follower robot from design to implementation: Technical issues and problems
. In
2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE)
(Vol.
1
, pp.
5
9
). IEEE
20.
Bajestani
,
S.E.M.
and
Vosoughinia
,
A.
,
2010
, August.
Technical report of building a line follower robot
. In
2010 International Conference on Electronics and Information Engineering
(Vol.
1
, pp.
V1
1
). IEEE
21.
Oswal
,
S.
and
Saravanakumar
,
D.
,
2021
.
Line following robots on factory floors: Significance and Simulation study using CoppeliaSim
. In
IOP Conference Series: Materials Science and Engineering
(Vol.
1012
, No.
1
, p.
012008
). IOP Publishing
22.
Bhatia
,
S.
,
Dhillon
,
H.S.
and
Kumar
,
N.
,
2011
, December.
Alive human body detection system using an autonomous mobile rescue robot
. In
2011 Annual IEEE India Conference
(pp.
1
5
). IEEE.
23.
Carnegie
,
D.A.
,
Loughnane
,
D.L.
and
Hurd
,
S.A.
,
2004
.
The design of a mobile autonomous robot for indoor security applications
.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
,
218
(
5
), pp.
533
543
.
This content is only available via PDF.
You do not currently have access to this content.