RAIOT- Robotics Automation & Internet of Things Lab Report

ROBOTICS AUTOMATION & INTERNET OF THINGS

A report by RAIOT- Robotics Automation & Internet of Things Lab

Department of CSE/IT,ASET,Amity University Rajasthan


INTRODUCTION

RAIOT- Robotics Automation & Internet of Things Lab include projects which allows the students

to integrate and apply their knowledge in the design, construction and testing of a real system.

At one extreme, these projects can be free-form. The students think of an original device and

then deal with all aspects of engineering development from parts procurement to final testing of

the full-up system. At the other end of the spectrum students are given prebuilt systems and

must program them to perform certain task(s). These often take the form of small mobile robots

that are run in a contest of some sort at the end of the semester. One of the biggest takeaways

from robotics lab is how it is possible to discover ways to interface with almost any type of

hardware. Some of the other things that we learn here is to be able to accomplish a higher-level

task based completely on the basic knowledge and research. This gives an added advantage to

the students to develop their programming skills and practical knowledge which will help them

reach pinnacles in their academics.

The RAIOT Lab is a campus hub focused on learning, research and hands-on experimentation

to discover and demonstrate the promise of the Robotics and Internet of Things.

The Internet of Things Lab serves as an exciting multidisciplinary learning and research “sandbox”

as well as a thought-leadership and innovation showcase to explore, experience, and extend

cutting-edge technologies and use-cases. We are investigating a variety of emerging devices and

technologies (involving smart sensing, pervasive connectivity, virtual interfaces and ubiquitous

computing), and their potential applications in consumer, retail, healthcare and industrial

contexts

The Robotics Automation and Internet of Things will transform the way we live, work, and play.

The RAIOT Lab came into existence and became a vital part of Amity University Rajasthan on

21st January ,2017. Prof. Dr. D. D. Shukla , Director , ASET and Dr. Tarun Kumar Sharma , Head

of Department , CSE/IT-ASET inaugurated the lab on 8th Convocation. Under the conduct of this

lab lies great effort and support of our faculty coordinators Prof.Preeti Gupta,,Prof. Anil Saroliya

and Prof. Jitendra Rajpurohit.

The list of projects that we are working on is as follows:

During the laboratory sessions, we work in teams of two to three students. It is desired that each

team contain members with different skills, for an equal distribution of forces. Team members

equally contribute to the lab sessions, reports and final competition. Students in each team share

the responsibility of maintaining and returning the hardware in their original form. The Team has

so far done a great job and is in the run to bring a revolution.


Robotics

17 DOF Humanoid: This robot is a professional small humanoid robot consist of full aluminum

parts, smooth surface with smooth edges not hurting hands, the metal is unbleached, beautiful

and durable.

Objective

The objective of this project is to focus in R&D of AI & Machine Learning

Brief

This robot is a professional small humanoid robot consist of full aluminum parts, smooth surface

with smooth edges not hurting hands, the metal is unbleached, beautiful and durable. The High

Torque Standard Servo Motor with Dual Ball Bearing and Metal Gears. Provides 14kg/cm at 4.8V

and 16kg/cm at 6V. Replacement for HS-645MG. Arduino Uno R3 based USB 18 Servo Controller

is ideal for making Autonomous and PC based systems which run over Hobby Servo motors. The

software helps to develop the complex sequences in real time on the hardware like robotic arms,

walkers, bipeds and any other servo controlled system. It also generates Arduino based code for

the developed sequence which can be deployed on the controller on board thereby making the

robot autonomous.


Features

Arches punching, corner cutting

Cost-effective and easy-to-use

For hobbyists, robot competition, kids

Size:40cm(H)*23cm(W)

Servo Motor Specifications

Required Pulse: 3-5 Volt Peak to Peak Square Wave

Operating Voltage: 4.8-6.0 Volts

Operating Temperature Range: -10 to +60 Degree C

Potentiometer Drive: Indirect Drive

Gear Type: All Metal Gears

Connector Wire Length: 12"

Dimensions: 1.6" x 0.8"x 1.4" (41 x 20 x 36mm)

Weight: 48gm

Initial Timeline

Stage I - Develop autonomous humanoid with all basic features like walking, dancing,

follow, track co-ordinates, manual control using GUI.

Stage II - Image Processing to track in real-time objects using harcascades, machine

learning algorithms to make it more intelligent.

Stage III - Voice Recognition to give commands and perform basic tasks.

Stage IV - Completely autonomous humanoid to interact with users & environment that

can make decisions like self-driving cars.

This is just an initial time line and not enough detail is known to provide a better time estimate.

These steps may not be carried out in the same order as they appear above either and a more

iterative approach is likely to be used.

Conclusion and Future Scope

Machine Learning: Help students to learn & implement ongoing researches.

Learning by demonstration.

Language Acquisition.

Gestural Communication.

Advance features inspired from NAO, ASIMO, etc. at cheap costs.

Virtual Reality Controls.

Links

https://www.youtube.com/watch?v=0OIiKdFCObQ

https://www.youtube.com/watch?v=0HNT-LIR8II

https://www.youtube.com/watch?v=0OIiKdFCObQ

https://www.youtube.com/watch?v=0HNT-LIR8II


SoccerBot: A soccer robot is a specialized autonomous robot and mobile robot that is used to

play variants of soccer.

https://en.wikipedia.org/wiki/Autonomous_robot

https://en.wikipedia.org/wiki/Mobile_robot

https://en.wikipedia.org/wiki/Association_Football


RacerBot: Designing a manually remote controlled wireless/wired ROBOT which is capable of

running on the track, having capacity to cover maximum distance in shortest time and challenging

the hurdles.

Brief

This robot is a small robot consist of full aluminum chassis, smooth surface with smooth edges

not hurting hands and durable. The High Torque Johnson Geared Motor of 200 rpm. Provides

12kg/cm at 12V and 6kg/cm at 6V. Arduino Uno R3 based receiver coupled with Xbee S1 and

L293d/L298n Dual H-Bridge motor drivers is ideal for making wireless with low latency and great

range of 120m(Line of Sight). Remote control is based on the similar Xbee S1 SOC’s with run on

3.3v. Joystick analog output is converted to digital signals for sending wirelessly by SOC with its

built in pin modes.

Features

Uses Analog to digital convertor capabilities of Xbee S1 SOC’s.

Cost-effective and easy-to-use

For robot competition

Size:10cm(H)*25cm(W)

Drive Motor Specifications

Operating voltage: 6-15 Volts

No-load current = 800 mA


Load current = 9 A(Max)

Shaft Diameter - 6mm

Shaft Length - 15 mm


Dimensions: Gearbox diameter - 37mm; Motor Diameter - 28.5 mm; Length (body only) -

63mm

Weight: 300 gms

Battery Specifications

12V 1.3Ah Sealed Lead Acid battery

5V power bank

Link: https://www.youtube.com/watch?v=Wy48AP2UAaQ

https://www.youtube.com/watch?v=Wy48AP2UAaQ


RoboWar: https://www.youtube.com/watch?v=Wy48AP2UAaQ

Dynamic Assasination Droid (D.A.D.)

First robo war machine of Amity University Rajasthan made from scratch, always up for a real

fight!

Objective: D.A.D. is combat-robot that is designed to compete in robo wars and soldier on for a

tough match.

Brief

D.A.D.’s weapon is a hammer arm which exerts great force at its tip, equipped with a gripper on

the front. The arm was designed to hit opponents' armour plating and break their internal

components, with gripper rendering them impaired or immobile.D.A.D. is made of complete thick

aluminium sheets and iron plates and rods, welded together providing a great strength to the

chassis.The bot is driven by 4x 60 rpm side shaft motors providing a stall torque of 11kg/cm and

the weapons of the bot are also powered with side shaft motors of 60 rpm and 30 rpm (torque

of 7 kg/cm) for hammer and the gripper respectively.

History

D.A.D. has competed in the BLITZSCHLAG ‘17 in MNIT university, winning two of its three head-

to-head battles even with three out of 4 wheels being completely out of order! It was designed

in 2 days,and still displayed a great performance in the match.It has held a great reputation after

the match giving a great status to Amity University Rajasthan in Robo-war competitions.

https://www.youtube.com/watch?v=Wy48AP2UAaQ


Statistics

Height:

Width:

Length:

Weight:

Control type: Wired

Weight class: Featherweight

Primary Weapon: Gripper

Secondary weapon: Hammer

Power source: 2x12V batteries


Motor type:12v DC Johnson Side Shaft Gear, Geared Motor 60 rpm and 30 rpm High

Torque

Turning circle: 0 m (0 ft)

Connector Wire Length: 8 m

Features: Easy-to-use with great strength and power for fighting robot competitions and

recreation


Initial Timeline

Stage I - Develop combat-bot with all basic features like moving, grabbing,hitting, manual

control using a wired remote.

Stage II - Modify it’s weapons according to the fighting scenarios by introducing

pneumatic systems in the machine.

Stage III - Increase it’s strength and motor toque.

Stage IV - Develop it to fight on international platforms.





Machine Learning: Help students to learn & implement ongoing researches.

Learning by demonstration.

Get a good control over machines.

Advance features inspired from Razer, Agrippa, Killerhurtz and Pulveriser .

Attacking controls

Fight on international platforms.


Wireless Bot: This gesture controlled robot uses Arduino,ADXL335 accelerometer and RF

transmitter-receiver pair.

We will divide the entire robot into 3 parts the transmitter,the receiver and the robot.

The different gestures that have been mapped to the direction of the bot are-

● Hand parallel to the ground-stationary

● Hand tilted forward-forward

● Hand tilted backward-backward

● Hand tilted right-right

● Hand tilted left-left


Automation

Hand Gesture Game Simulator: This project is to enhance gaming experience at cheap costs and

the primary focus is to develop an open source dedicated device that can be used to simulate

better gaming experience.

Objective

The objective of this project is to enhance gaming experience at cheap costs and the primary

focus is to develop an open source dedicated device that can be used to simulate better gaming

experience. Supports All Windows Games, currently functioning over Ethernet & WiFi.

Equipments Required

o Raspberry Pi3

o Adxl345 Digital Acceleromelerometer

o Gloves

o Toy Gun

o Jumper wires (generic)

Methodology

Hardware Setup:


o Fix ADXL345 accelerometer in the palm side of Gloves.

o Connect all wires with Pi GPIO Pins.

o Place all setup wherever you want.

o Connect all pins of accelerometer & GPIO properly follow links for tutorial.

o Stuff About ADXL345 Accelerometer & Python

Software Setup:

o How to use 3-Axis Accelerometer for Tilt Sensing. Tutorial

o I used Roll & Pitch axis only for forward, backward, left, right, nitro & handbrake

parameters to control the game.

o Download all source code.

https://www.dfrobot.com/wiki/index.php/How_to_Use_a_Three-Axis_Accelerometer_for_Tilt_Sensing#Yaw-Pitch-Roll

https://raiot-aur.github.io/raiot/img/450px-Yaw-Pitch-Roll.png

https://raiot-aur.github.io/raiot/img/F6KBXQTI4IXAA0D.MEDIUM.jpg


o Start server from windows system to receive axis tilts in degrees.

Run GameServer.py

o Send UDP packets from Pi to server. Run Client.py

o Enter IP of your connection not IP of Pi.

o Open cmd & type ipconfig/all to see IP of your connection.

o Start Pi using putty for faster connection. Tutorial

o Create hotspot & connect both Pi & Windows system for Wireless Control.


Future scope of this project is to calibrate with all types of games and we are trying to build it

for shooting & action games.

https://github.com/vsl-tech/hggamesimulator/blob/master/GAME%2520SERVER.py

https://github.com/vsltech/hggamesimulator/blob/master/client.py

https://raiot-aur.github.io/raiot/https/www.modmypi.com/blog/remotely-accessing-the-raspberry-pi-via-ssh-console-mode

https://raiot-aur.github.io/raiot/img/handgesturegamesimulator.jpg

https://raiot-aur.github.io/raiot/img/softwarescreen.jpg


EEG-Based Game Simulator

Objective

The objective of this project is to enhance gaming experience at cheap costs and the primary

focus is to develop an open source dedicated device that can sense alpha/beta brain waves

possibly and further the data can be utilized to simulate windows games like racing (NFSMMW,

Asphalt8), open world (GTA) etc. At initial stage, the target is to filter alpha-waves for capturing

basic human body movements like left-right arm, eyes blink, head direction in real-time.

History of the Study

There is a lot of research already going in this Cognitive Science for Brain Computer

Interface(BCI). Neuro-Sky has already developed Mind-wave headset for interpreting brain

signals to their inbuilt controller and further the data is communicated over Wi-Fi or Bluetooth.

But these products are too costly and least feasible to be used for any student/developer. This

prototype will be functioning on best single-board computer “RaspberryPi” which runs Linux

based OS “Raspbian”. By, using Open-Source software and Python everyone can build their own

interfaces to interpret the Brain Waves/Signals.


Methodology

Design Amplifier Circuit to amplify the voltage of each electrode

Convert Analog value to Digital, so that RPi GPIO can sense

Implementation & Coding

o Design UI for data/signal visualization using PyQt in Python

o Program logic to interpret brain-signals

o Create socket connection to send signals in Server/Raspberrypi

o Create client side connection to receive signals in windows/client machine

o Trigger keyboard strokes, Auto Hotkeys using DirectX Programming respective to

each filtered signal

Equipments Required

Raspberry Pi3

Instrumentational Amplifier

Op. Amplifier

EEG Electrodes, Gel

NeuroSky Mindwave Headset

Initial Timeline

1 Week - Learn how the various EEG Electrodes work

2 Weeks - Learn more about EEG and Brain Waves to decode for physical movement of

body

2 Weeks - Find hardware parts and design amplifier circuit

2 Weeks - Implement openEEG software using BCI in Python & C++

1 Week - Develop GUI software for EEG data visualization

3 Weeks - Integrate all things and testing of prototype





The short-term goal is to build a prototype with some accuracy and interpret at least alpha-

waves. Future scope of this is to process language and thinking of brain to some meaningful data.

Also, the vision of this project is to record Human Dreams.

Links: https://www.youtube.com/watch?v=WfJfCaUPj6o

https://www.youtube.com/watch?v=WfJfCaUPj6o


KickO’Wheelz: The objective of KickO'Wheelz - Game Simulator is to develop a low cost

dedicated system & simulation model of racing car that enables to play any racing games. Any

size of display can be connected and there is no limitation of game. The future scope of this

project is to enhance the gaming experience and further calibrate with XBOX, PS4 and Motion

gaming modules. Supports All Windows Racing & Open World Games, currently functioning

over Ethernet & WiFi. Best experience with Racing games! Everybody loves to play games and a

simulator just makes it very easy.

Future Scope!

Make a gearing system for Manual transmission (NFS shift) a pure manual transmission games.

Give users an experience of Virtual Reality (VR) in the future using a VR attached to the

Raspberry Pi.

Links

https://www.youtube.com/watch?v=UXxkYY-miAk

https://www.youtube.com/watch?v=UXxkYY-miAk


Sprinkler Automation: The Smart Sprinkler Controller automatically calculates watering cycles to

deliver just the right amount of water while minimizing runoff. It turns on when the water is

required and automatically switches the sprinkler off when there is no more water needed.

Objective

The ultimate sprinkler controller is at hand. Introducing Smart Sprinkler Controller that gives you

control of your sprinklers and watering bill, right from your smart phone.

Brief

In an easy step-by-step process, which tells you about your plants, soil, sprinklers, sun exposure

and more for each zone of your yard. The Smart Sprinkler Controller automatically calculates

watering cycles to deliver just the right amount of water while minimizing runoff. It turns on

when the water is required and automatically switches the sprinkler off when there is no more

water needed.


Methodology

Soil Sensors are connected to the Arduino which would be used to control the central

system. These soil sensors will give regular readings which ultimately helps in controlling

the valves of the sprinkler. Different range of readings would be the result, according to

the soil quality and manageability.

The given readings, forwarded to the Arduino, are further sent to the dedicated

application. Necessary action is calculated by the application, whether to switch the

sprinkler on or off.

The dedicated mobile and web apps are designed in such a way that, they give the real-

time status of the required sprinkler and the water content of the soil in that space.

Equipments Required

Arduino

Soil Sensors

Long Connecting Wires

Central RPi Server

Ethernet Shield along with the LAN Cable

Dedicated Android Application

Initial Timeline

Stage I -

o Readings from soil sensor, analyzing it and representation of the same on graph.

o Developing Dedicated Android Application

o Developing dedicated web-page

o Making environment on Arduino compatible with the required use.

Stage II -

o Controlling Sensors and Sprinklers and making it user-friendly.

o Setting up the sensors, making them less vulnerable to the environment.





o Reduces the effort of frequently switching on/off the sprinkler.

o Perfect and efficient Water supply management

o Adaptive Control Systems, as the required water amount for each weather will be

set automatically.

o Reducing the surface runoff by automatically switching off the sprinkler of the

fulfilled region.


Image Processing One of the most essential security feature to save you from intruders

Objective

The objective of this project is to ensure the security of your place when you are not around

Brief

This is a human detection system programmed in Python. It uses the pi camera as the video

recorder. The camera is connected to a Raspberry pi and is kept facing towards the door. As soon

as a person enters the room the camera detects the human and sets the status of the room to

occupied. Additionally, you can automatically set a system to snap the pictures of the intruder

and upload it to the cloud.


Features

Human Detection

Cost effective security solution

Easy to build and setup

Connector Wire Length: 12"

Dimensions: 1.6" x 0.8"x 1.4" (41 x 20 x 36mm)

Weight: 48gm

Initial Timeline

Stage I - Develop a system to detect a human

Stage II - Add features to it like face and eye detection

Stage III - Build a face recognition system so that any unknown person cannot enter the

premises

Stage IV - Finally, add a feature to set a security alarm if the person entering is not

recognized


It will help in securing your place in an efficient way

It’s easy to learn and a nice start towards image processing

It can be used in online security too where you won’t require a password, just scan your

face and you are good to go


IoT (Internet of Things)

Office Automation & Security automation refers to the varied computer machinery and software

used to digitally create, collect, store, manipulate, and relay office information needed for

accomplishing basic tasks and goals.

Objective

The objective of this project is to automate the various office appliances like Fans, Lights etc

using wireless control & implement security features to make it smart office

About

Office automation refers to the varied computer machinery and software used to digitally create,

collect, store, manipulate, and relay office information needed for accomplishing basic tasks and

goals.

Features

Display Door Status over web-interface.

Turn Lights/Fans on whenever human enters in room.

Capture image & mail to registered email whenever someone breaks into house.

Trigger alarm whenever smoke/gas leak is sensed.

Sends signal whenever garden/plant is dry to web-interface.

Count number of person enter/exit in the room.


Using Raspberry Pi

Equipments Required

Raspberry Pi3

Relay Switch, Sensors, RJ-45 Ethernet, Wire

Arduino UNO R3

Ethernet Shield

Using Arduino: Controlling office appliances using android application and web application.

Office automation refers to the varied computer machinery and software used to digitally create,

collect, store, manipulate, and relay office information needed for accomplishing basic tasks and

goals.

Features

Display Door Status over web-interface.

Turn Lights/Fans on whenever human enters in room.

Capture image & mail to registered email whenever someone breaks into house.

Trigger alarm whenever smoke/gas leak is sensed.

Sends signal whenever garden/plant is dry to web-interface.

Software used

Android studio, Arduino IDE, HTML, JavaScript


Methodology

Arduino generates web pages dynamically to display the current state of the relay switches. The

Ethernet shield uses http protocol to transmit these web pages to both android and web

application.Arduino is connected to the router using Ethernet shield. Arduino establishes socket

connection with the clients.

Android app loads these pages in “WebView widgets”.

The android application controls the relay switches on the basis of “Query string” that is provided

along with the IP address of the Arduino board.

In relay common ground is connected to the “C” ports of Relay 4 to 8. The other end of the

switches are connected to NC port of the relay. Making a parallel switched connection.

The relay requires external 12V as input so we have to use a common ground for input from

Arduino as well as input from 12V adapter/battery.

Android uses toggle buttons to load different addresses (e.g. 192.168.1.4/?relay1on) to turn

relays on or off.

#Note If the IP address of Arduino is lost or changed use inbuilt example Ethernet>DHCP

Address Printer to get the IP address and copy it into the variable used in the code.

Module-I: Relay Controller Board Build Tutorial

Quantity of the components depends upon how many channels you want e.g. if you want to

control more than one light then you will have to add that much number of relays on your

controller board.


Module-III: Building Main Circuit Connection

Now we are ready with our Relay controller board. So, it’s time to move on to the Main Circuit

Connections. Here is the pin configuration for the whole Automation Project.

GPIO pin(Arduino) Relay pin Device

8 R8 Fan1

7 R7 Fan2

6 R6 Light1

5 R5 Light2

4 R4 Light3

#Note: For relays it is recommended to power it from separate source not from Arduino (we

have powered it from Arduino only but since here we are working with single board. As board

number increases Arduino won’t be able to supply sufficient power to the boards.)

Module-IV: Uploading Arduino Automation code to the Board

Here is the Arduino office automation code just copy and paste it into your Arduino IDE sketch.


The short-term goal is to build a prototype & implement all sensors inside RAIOT Lab to

demonstrate Internet of Things working & scope.

Links

https://www.youtube.com/watch?v=bAPScgdsz3g&t=6s

Door Security and Status: In this project, we will build a web enabled electronic door lock from

scratch using Raspberry PI to provide the web service consumed by the mobile app or any other

platform. Upcoming system works by taking a image of people at the door via its cameras and

Arduino Ground pin Relay Ground pin

12V Adapter/Battery Ground Relay Ground pin

12V Adapter/Battery Vcc Relay Vcc pin

https://www.youtube.com/watch?v=bAPScgdsz3g&t=6s


matching them against your stored database of images (up to 500 faces). A facial recognition

door entry access system that also keeps records of people coming and going could be the one

accessory your high-tech home.

Objective

The objective of the project is to automate the office area by controlling the lights, fans and the

door using the android app and the windows app.

About

A relay channel is connected the electric board of the office using the electric connecting wires

and the output pins from the relay board are connected to the Raspberry Pi 3. A program is made

on PyQt4 that sends the values to raspberry pi for each action. Each value is taken as a command

that is executed by Pi to the specified action.

A similar android app is made for the same to ease the use and make it handy.

The log is maintained that records each action along with the time stamp. This provides security

to the office.

Features

Windows app made on PyQt4 to make it user interactive.

Android app to make the use handy.


Maintains log of each action into a csv file along with the time-stamp, thus providing

security.

Records the last status of the door (Locked or Unlocked).

Equipment’s Required

Raspberry Pi 3

Relay Board

Electric wires, Jumper wires

360 degree servo

9v batteries and battery connectors

Assortment of jumper cables


The camera can be integrated with the project to monitor the office when the door is locked. It

can also be implemented to create profile of different people so that lights and fans automatically

turn on/off as per the user’s habit by machine learning.

Implementation of biometrics suits the best with the project so the door can be unlocked only

by the authenticated user. An alarm can be attached with it which sounds when found forced

entry into the office.

This project can be used in secure areas, protective areas of Army, large offices.


Weather Station: To livestream all the weather information of AUR. In this project, we will be

making a weather station that measures air pressure, temperature, rain drop, soil humidity and

air humidity using Arduino which save the data for data acquisition.

Objective

The objective of this project is to observe and forecast the.weather information of AMITY

UNIVERSITY RAJASTHAN.

About

Different sensors are used to measure and record temperature, humidity, rainfall, pressure and

rainfall. Using the listed data predict weather for a week and display the data on lcd (inside RAIOT

lab) , web interface and android application.

Features

Monitor temperature/humidity in real time using dht11.

D14 wind speed calculation (anemometer).

Rain gauge meter using ultrasonic sensor.

pressure ,altitude ,sea level measurement using bmp180 sensor.

Low cost dedicated device.

Equipment’s Required

Ethernet shield

Arduino (any microcontroller would serve the purpose )

LAN cable


LCD

Assortment of jumper cables

breadboard


The short-term goal is to implement all sensors inside RAIOT Lab and forecast weather at Amity

Universty Rajasthan.

With our People Counter, we can determine the number of people within a specific area and

detect their direction of movement, Our Future Scope are to make a weather forecasting station

for future weather prediction up to 1 week using machine learning and artificial intelligence


Our Events

Amity Raspberry Jam Department of CSE/IT-ASET, Amity University Rajasthan

organizes "Amity Raspberry Jam". This event/workshop is to aware about the

Raspberry Pi micro-controller and its utilization in Robotics, Automation &

Internet of Things.

Objective

Live project demonstrations based on RPi computer and its usage.

RPi Beginners to Advance Guide.

Hardware & Software Guide.

Internet of Things & Automation.

Robotic Platforms & Solutions.

Analog & Digital Sensors Guide.


Find Amity Raspberry Jam on official RPi Map!


Our Achievements

Our projects exhibition appreciated by Dr. Ashok K. Chauhan, Dr. Aseem

Chauhan & other dignitaries on 8th Convocation Day of AUR.


Data Acquisition of different age group of subjects for our research project EEG

Games Simulator


Our #Robotics team: Winner at Blitzschlag, MNIT Jaipur

Date: 27-02-2017

RoboWar: 3rd Prize Cash: 2000 INR

RoboRace: 4th Prize

https://www.facebook.com/hashtag/robotics?source=feed_text&story_id=1890483404528957

https://www.facebook.com/blitzschlagMNIT/


Future Project Lists

SmartHostel

RoboArtist

Drunk Driver Detector

Hover Craft

Smart Pass

Segway

3D Printer


Our Team

Headed By:

Prof.(Dr.) D.D. Shukla Dr. Tarun Kr. Sharma

Director – ASET HOD CSE/IT- ASET

Faculty Coordinators:

Ms. Preeti Gupta Mr. Anil Saroliya Mr. Jitendra Rajpurohit

Asst. Professor Asst. Professor Asst. Professor

https://raiot-aur.github.io/raiot/drshukla.html

http://amity.edu/faculty-detail.aspx?facultyID=342





RAIOT WorkGroup

Student Team: Vishal Aditya ( Team Lead)

Name Branch Course Semester Field of Work

Abhinav Jain B.Tech CSE 2 Robotics

Anirudh Swarankar B.Tech CSE 2 Robotics

Anjan Kumar Sahu B.Tech ECE 2 Automation

Harsh Garg B.Tech CSE 8 Internet of Things

Himanshu Patil B.Tech CSE 6 Internet of Things

Lakshay Parnami B.Tech CSE 8 Automation

Mayuresh Konda B.tech CSE 4 Automation

Namagiri Pawan Sai B. Tech CSE 4 Robotics

Nayan paruthi B.tech CSE 4 Robotics

P. Vamshi Dhar Reddy B-tech CSE 8 Internet of Things

Prayas Mittal B.Tech CSE 4 Automation

Priyanshu Gupta B.Tech CSE 6 Automation

Utkal Sharma B.Tech CSE 8 Automation

VIBHU MALIK B.Tech CSE 6 Robotics

Vishal Aditya B.Tech CSE 8 Automation

Anushree Chandak B.Tech CSE 4 Internet of Things

Himanshu Agarwal B.TECH CSE 4 Automation

Akshay Sirohi B.TECH CSE 2 Automation

Shikhar Johri B.TECH CSE 2 Robotics

Aditya Rakhecha B.TECH CSE 2 Robotics


RAIOT Lab Contact

Robotics Automation &

Internet of Things Laboratory

Amity University Rajasthan

Jaipur, Rajasthan (303007)

CR01, GND Floor, ASET

Vishal Aditya (Team Lead)

B.Tech- CSE 8th SEM

Phone: +91-9828614330

Email: [email protected]

Website: http://www.raiotlab.in/

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http://www.raiotlab.in/

RAIOT- Robotics Automation & Internet of Things Lab Report

Engineering

Transcript of RAIOT- Robotics Automation & Internet of Things Lab Report