This document describes a hand gesture controlled robot with obstacle avoidance capabilities built using an Arduino. The robot operates in both manual and autonomous modes, with hand gestures sensed by an Arduino and accelerometer worn by the user to control movement. An ultrasonic sensor allows the robot to change direction automatically if obstacles are detected. The project aims to address minor delays in communication and improve accuracy of the gesture recognition system. Results show that users prioritized precision over speed when controlling the robot. Future applications of this gesture technology include use in industries like automation, medical, and gaming.

1. National Virtual Conference on Advances in
Computer Science and Engineering
(NCACSE-2022)
Hand Gesture Controlled Robot and Obstacle Avoidance
System using Arduino
Paper ID : NCACSE-1105
Track IV: ENABLING TECHNOLOGIES AND APPLICATIONS
Presented by : Mr. Shivam Thorat Guided By : Prof. Mrs. S.A. Kshirsagar
Sou. Venutai Chavan Polytechnic (Pune)
0040

2. Contents
• Introduction
• Related Work
• Gap Analysis
• Issues and Challenges
• Proposed Work
• Results and Discussion
• Conclusion and Future Work
• References

3. Introduction
In recent years, robotics is very efficient to take major
attention in robotic researches. Most of the robots are used to
reduce the work of humans. We are introducing the robot in
cleaning applications at homes, hotels, offices, hospitals and
industries. The robot operates in manual mode with an
autonomous mode to control the robots by our hand gestures.
The user wore a gesture device arduino and accelerometer
which senses the signals. And if any obstacles come in front of
the robot it will be automatically change the directions using
ultrasonic sensor.

4. Related Work
The design of a gesture-based control framework requires to
track the movements of a person's arm. Most of the
approaches in the literature adopting gestures to interact with
robots.
the device Approaches exploring this alternative typically use
gloves, armbands or other specialised devices as input
modalities.

5. Gap Analysis
Sometimes Sensor Light Takes some time to response from
transmitter which gives Commands to the Main device which
performs Required actions.
We have to Replace the battery time to time when it get
Discharged to Avoid interruptions while using the device.

6. Issues and Challenges
We faced several issues while Building the project such as ,
Minor Delay in communication.
There are many challenges associated with the accuracy and
usefulness of gesture recognition software.

7. Proposed Work
The gesture controlled robot is a wireless operated robot and
has two parts: Transmitter and Receiver. When the power of
9V is supplied torobot, the transmitter part, which consists of
Arduino, Accelerometer and RF Transmitter will continuously
monitor the ultrasonic sensor.

8. Result and Discussion
We did not observe any significant correlation between the
time spent to complete the control task and the self-rated
difficulty of the participants. More over, we noted that most
participants chose precision over speed, usually driving the
robot at a slower-than-maximum pace to ease control

9. Conclusion
In this presentation, Integrating features of all the hardware
components used have been developed in it. Presence of every
module has been reasoned out and placed carefully, thus
contributing to the best working of the unit. Secondly, using
highly advanced IC's with the help of growing technology, the
project has been successfully implemented.

10. Future Work
The Gesture controlled robot designed in this work has many
future scopes. In future most of the industries including
automation, medical field gaming etc will be using gesture
technologies, providing a greater revolutionary in surgery and
for gamers it brings a new way of gaming experience.

11. References
1. Archika Setia, Surbhi Mittal, Padmini Nigam, Shalini Singh, SurendraGangwar “Hand
Gesture Based Robot Using Accelerometer Recognition Sensor”, IJAREEIE, Volume 4, May
2015.
2. 2.Manisha Kukde, Sanchita Nagpurkar, Akshay Amdare “Automatic andManual Vacuum
Cleaning Robot” International Research Journal ofEngineering and Technology (IRJET),
Volume 05, Feb 2018.
3. Uman Khalid, Muhammad Faizan Baloch, Haseeb Haider “Smart FloorCleaning
Robot”,2015.
4. Shripad Malavadikar, Swapnil Mungale, Toshika Johri, HarshadLokhande “Automatic
Cleaner Robot”, Volume 02, March 2017.
5. Ankur Dang, Vibhum chandarkar, Aishwarya Pawar, Dhairya Power“Hand Motion
Controlled Robotic Vehicle with Obstacle Detection” IRJET, Volume: 04, September 2017.

12. Thank You