Gesture-Driven Robotic Arm Navigation: Enhancing Safety in High-Risk Environments

International Journal of Advanced Multidisciplinary Research and Educational Development Volume 1, Issue 1 | March-April 2025 | www.ijamred.com

ISSN: 3107-6513

Gesture-Driven Robotic Arm Navigation: Enhancing Safety in High-Risk Environments Dr.B.Uma Maheswar Gowd1, N.Harjot Kaur Singh2 1

M.Tech Research Scholar, 2Assistant Professor Department of Computer Science and Engineering, Sri Guru Granth Sahib World University, Fatehgarh Sahib, Punjab, India

Abstract: Robot comprise develop into a enter knowledge into different field. Robotic arm are frequently distant proscribed by button before panel with every so often in lot development they are sovereign. Wireless signal gratitude and calculating be a mounting and testing pasture in electronics. These robots fall little in good organization while compare to a Biomimetic automaton proscribed by person gesture. Then, to expand competence since fine as simplicity of organize, signal machinery be apposite. Sensors such as accelerometers be calibrate to the schedule of the consumer which are transmit since mathematical standards. These values are yet over again changed as contribution signal used for the android which is operated accordingly by servo motors. In several industries wireless operation is needed mainly in treacherous or hazard area. In a little of the industry it is essential to knob little job by very high temperature which is not achievable in individual hand over in such bags wireless operation be further competent Keywords — Biomimetic Robotic Arm, Hand Gestures, Hazardous Environment.

pivotal shift toward safer, technology-driven

INTRODUCTION Robotics is the branch of mechanical

intervention. However, building a fully functional

engineering, electrical engineering and software

humanoid robot remains complex and costly. A

engineering

that

construction,

operation,

deals

the

design,

more practical approach is to engineer specialized

application,

control

humanoid

with

components—each

enhanced

for

systems and information processing of robots.

specific tasks—offering precision, efficiency, and

The most fitting and effective solution to these

adaptability without the burden of full replication.

challenges lies in designing the robot with

Robotic armrest is call as robot manipulator

specifications that emulate human actions — a

which container executes a choice of function as

blueprint that ensures both innovation and

being arm perform. Several industry uses an

distinction. Humanoid robots were developed to

android used in support of different function

fully eliminate the need for Deploying machines

where central piece of several robots is Robotic

to operate in hazardous environments marks a

support before call since machine manipulator

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ISSN: 3107-6513

International Journal of Advanced Multidisciplinary Research and Educational Development Volume 1, Issue 1 | March-April 2025 | www.ijamred.com

must be proscribed in particular depending

relieve. Proposed utility in field’s of construction,

winning appliance. These robots are engineered to

hazardous waste disposal, and medical sciences.

function in extreme environments, with this project aimed at enabling humans to explore

PROPOSED SYSTEM The nuclear plant environment, the robot

hazardous areas safely while gathering vital target

receives input signals via a ZigBee receiver,

information—eliminating risk to human life.

responding accordingly based on transmitted data.

EXISTING SYSTEM

The

A robotic arm is integrated onto a mobile

system

incorporates

controllers—one

embedded

two

distinct

the

gesture-

in

platform, wirelessly navigated via a secondary

detecting gloves and the other dedicated to robot

accelerometer.

operations. Key advantages of this design include:

To

control

the

arm,

an

accelerometer affixed to the operator's hand interprets gestures and

•

postures, translating

enabled by the Internet of Things (IoT)

human motion into precise robotic movement. A

•

second accelerometer, placed on one leg, tracks

seamless,

intuitive

Elimination of health hazards for living beings through remote interaction

leg motions to control the platform’s navigation— ensuring

Seamless and efficient communication

•

human-robot

Long-range

operability,

allowing

the

system to be controlled from distant or

interaction. Unstable communication with robots

secure locations via IoT connectivity

operating in reactor zones poses safety risks and DETAILED EXPLANATION OF COMPONENTS

drives up operational costs. The handling of nuclear waste, in particular, demands extended cooling periods and robust shielding, making

Accelerometer: ADXL 335 be a minute, slim,

reliability and precision in robotic systems

small control, total 3-axis accelerometer with

absolutely

robotic arms,

gesture accustomed outputs. The accelerometer

modeled after the human hand, offer an intuitive

used in this project features six pins: VCC (power

solution—allowing precise control through simple

supply), GND (ground), ST (self-test), and three

hand gestures alone. The support organizers wear

output pins for the X, Y, and Z axes. When the

the feeler handbag and the automatic support

sensor is tilted along any axis, it detects the

motivation imitates the group of the regulator.

gravitational force corresponding to the tilt angle.

Difficult robotic weapons like these protect

It measures force across all three axes—X, Y, and

complete compound and dangerous errands by

Z—and outputs values that reflect directional

critical.

Advanced

movement or stability. These values are calibrated

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International Journal of Advanced Multidisciplinary Research and Educational Development Volume 1, Issue 1 | March-April 2025 | www.ijamred.com

ISSN: 3107-6513

to distinguish between four movement types and a stationary central position, using error corrections along each axis. Operating at 3.3V supplied by the Arduino Uno, this setup utilizes only the X and Y axes, The accelerometer is interfaced through analog pins A0 and A1. One of its standout features is its remarkable stability—the output remains consistent and unaffected unless physical movement is detected.

Figure. Arduino board

Servo Motor: To enable joint movement and perform tasks, the robotic arm relies on motors.

Among the key components facilitating this functionality is the servo motor, known for its precision and control in positioning. A servo speed resolve comprise largely present supports, single is used for constructive power another be Figure: Accelerometer (ADXL 335)

for earth with previous single is for place situation.

Arduino: This Arduino automatic armrest can be

The RED cable is associated to control, Black line

proscribed by four Potentiometer friendly to it,

is connected to ground and YELLOW wire is

every potentiometer is use to manage both servo.

coupled toward sign. Go during this lesson

You preserve progress these servos by revolving

of Controlling Servo Motor using Adriana to hear

the pot to select several purpose, by various

further on it. The motor's impartial location be

perform you be able to simply select and shift the

clear because the place somewhere the servo have

article starting single position to one more. We

the identical quantity of likely revolving in the

include use short torque servos at this point save

mutually the clockwise before counter-clockwise

for you canister utilize further controlling servos

track. The PWM send toward the speed determine

toward select profound entity.

location of the stream, plus base going on the period of the pulsation send using the organize rope the rotor motivation spin on the road to the desired position. Servo motors are designed to

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ISSN: 3107-6513

International Journal of Advanced Multidisciplinary Research and Educational Development Volume 1, Issue 1 | March-April 2025 | www.ijamred.com

detect a pulse every 20 milliseconds, with the

capable of grasping, lifting, and relocating objects

width of each pulse determining the angle of

with respect to their weight and shape, ensuring

rotation. The longer the pulse duration, the greater

adaptive and precise handling. The rotation and

the degree of movement.

movement of the robotic arm are precisely governed by gesture inputs captured at the transmitter end, enabling intuitive, real-time control based on the operator’s hand motions RESULTS AND DISCUSSION The functionality of the robotic arm was evaluated through a series of varied hand gestures, testing its responsiveness and accuracy in mimicking each movement. The design of the robotic arm is kept simple without the use of any

Figure. Servo motor

gears or any complex mechanisms. The robotic ROBOTIC ARM The robotic arm, a mechanical structure

arm demonstrated precise mimicry of hand gestures and successfully grasped lightweight

anchored to the receiver unit of the circuit,

objects with ease. Its ability to handle intricate

operates based on control signals generated by the

and potentially hazardous tasks highlights its

Arduino in response to gesture inputs captured by

effectiveness in demanding scenarios. Subjective

an accelerometer on the transmitter side. Powered

evaluations confirmed the system’s reliability as

by a DC geared motor at its base, the arm is

an assistive robotic solution. Gesture commands

capable of executing a full 360-degree rotation,

are transmitted via the wireless ZigBee protocol,

enabling flexible and precise movement. The arm

ensuring the arm's movements are swift and

consists of two segments—one measuring 20 cm

synchronized with the operator’s hand in real time.

and the other, forming the elbow, extending 30

The system generates serial output values through

cm. A load is applied at the arm's end, allowing it to

lift

objects

of

varying

weights.

an Arduino preloaded with custom code, enabling

The

gesture-based control. As a result, the robotic arm

corresponding voltage output is fed into the

mimics human hand movements to grasp and

Arduino, which interprets the signal and transmits

manipulate

it wirelessly using the nRF module. The robotic

objects—providing

an

efficient

solution for replacing damaged components

arm, guided by a custom-designed controller, is

within a nuclear reactor.

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ISSN: 3107-6513

International Journal of Advanced Multidisciplinary Research and Educational Development Volume 1, Issue 1 | March-April 2025 | www.ijamred.com

CONCLUSIONS The automatic section was finished of small price

International

Research

Journal

of

Engineering and Technology, 2015.

equipment that was with good grace existing. The

3. Pradeep and Victer Paul, “Design and

representation of the automatic support was

Implementation of Gesture Controlled

constructing and the fund- tonality was hardened.

Robotic Arm for Industrial Applications”,

The mechanical division container is illegal over

International

the internet with by Ethernet connectivity plus a

Scientific Research and Development, Vol.

camera in favour of diagram response. This mode

3, Issue 4, Oct. 2016.

of control not only enhances efficiency but also

Journal

of

Advanced

4. Pravin Vaishnav and Shalini Tiwari,

reduces the physical burden of repetitive tasks

“Accelerometer

while greatly improving operational safety.

Controlled Robot”, International Journal

Usability assessments reveal that the system

of Science and Research, Vol. 4, Issue 3,

excels in pick-and-place functions, making it

March 2015.

especially beneficial for individuals with physical disabilities

and

in

controlled

settings

Based

Hand

Gesture

5. H. S. Yoon, J. Soh, Y. J. Bae and H. S.

like

Yang, “Hand gesture recognition using

laboratories. In environments too hazardous for

combined features of location, angle and

human presence, this technology bridges the gap

velocity”, Pattern Recognition, vol. 34,

between the physical and digital worlds—offering

(2001), pp. 1491-1501.

intuitive control, increased adaptability, and

6. M.

Klingmann,

“Accelerometer-Based

expanding the scope of robotic applications across

Gesture Recognition with the iPhone”,

diverse fields.

Goldsmiths University, MSc in Cognitive Computing, London, September 2009.

REFERENCES.

7. J. Kela, P. Korpipää, J. Mäntyjärvi, S.

1. Waldherr, R. Romero, and S. Thrun, “A

Kallio, G. Savino, L. Jozzo, and S. Di

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8. Abdul Ishaq T.K, He is from kasargod,

Pick and Place Robotic Arm Vehicle”,

Kerala.

Currently

Pursuing

BE

in

Electronics and Communication, at Bearys

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International Journal of Advanced Multidisciplinary Research and Educational Development Volume 1, Issue 1 | March-April 2025 | www.ijamred.com

Institute

of

Technology,

larnataka.

His research

mangaluru, interested

in

embedded systems, Image Processuing.

9. Joseph Sebastian, He is from kasargod, Kerala.

Currently

Pursuing

BE

in

Electronics and Communication, at Bearys Institute

of

Technology,

larnataka.

His research

mangaluru, interested

in

embedded systems, Image Processuing.

Wireless networks.

10. R. Dillmann, “Teaching and learning of robot tasks via observation of human performance,”

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ISSN: 3107-6513