PNT
Academy

Robotics ยท AI ยท Innovation

Robotics Lab

Industrial Robotics Lab Setup

Choose your institution type below to view our specialized curriculum and hardware configurations.

Recognized & Backed By

Shark Tank India
PM Modi Recognized
โš  The Crisis

The Problem Statement

๐Ÿ‡ฎ๐Ÿ‡ณ The Current Landscape

  • 1

    A study by NASSCOM reveals only 10% of Indian engineering graduates are employable in robotics-related fields.

  • 2

    Theoretical-heavy curriculum fail to provide hands-on experience and industry-ready skills.

  • 3

    India highly lags behind countries like China and Japan in the adoption of AMR, AGVs and robotic arms.

๐Ÿ‡จ๐Ÿ‡ณ The Global Benchmark

  • China's "Made in China 2025" initiative heavily promotes industrial automation.

  • Result: China produces 150,000+ robotics graduates annually, who seamlessly integrate into the workforce.

  • Colleges partner with robotics manufacturers to offer students live project experience and internships.

The Opportunity

A Transformative Vision

PNT Academy proposes a permanently deployed, industry-aligned Robotics & Autonomous Systems Lab โ€” designed to bridge curriculum gaps, enhance employability, and fuel innovation.

๐Ÿญ

Permanent Industrial Robotics Lab Setup

Industry-grade robotics hardware installed on-campus permanently โ€” not rented or borrowed.

01
๐Ÿ“š

Curriculum-Integrated Learning Model

Mapped to university syllabi so every lab session enriches the student's coursework.

02
๐Ÿ‘ฉโ€๐Ÿซ

Faculty Enablement & Ownership

Faculty training, certification, and ongoing support so the lab thrives independently.

03
๐ŸŽ“

Student Skill Development & Industry Exposure

Real internships, placement drives, and industry connect โ€” bridging education to employment.

04
๐Ÿ’ก

Innovation, Research & IIC Enablement

IEEE papers, patents, robotics competitions, and IIC-backed innovation projects.

05
Our Solution

Industry-Aligned Lab Equipment

That's where we come in โ€” with an industry-aligned Robotics & Autonomous Systems Lab within the institution.

PNT Mini/Basic Robotic Arm

6 DOF | Raspberry Pi 5 | 0.3MP Camera

PNT Advance Robotic Arm

6 DOF | ROS System | Depth Camera

Product

PNT Mini/Basic Robotic Hand

6 DOF | ATmega328P | Capacitive Touch Sensor

PNT Mini Drone

Custom Firmware | 5MP HD720p30 | Vision System

PNT Advance AMR

Mecanum Drive | Raspberry Pi 5 + Teensy 4.1 | LiDAR

PNT Standard AMR

Differential Drive | Raspberry Pi 5 | LiDAR

PNT Basic AGV

Dual high-torque DC motors | 100 kg Payload | Line Following

PNT Advance AGV

SLAM Navigation | 100 kg Payload | ROS System

Why Choose Our Approach?

A stark contrast between conventional textbook learning and our hands-on industrial ecosystem.

โœ•

Traditional Tech Labs

  • โˆ’Closed source, black-box systems with limited customizability.
  • โˆ’Focus on obsolete technologies no longer used in modern factories.
  • โˆ’Rigid theoretical learning with restricted hands-on experimentation.
  • โˆ’No clear pathway or connection to immediate industry employment.
  • โˆ’Equipment quickly becomes outdated with no modular upgrade path.
โœ“

PNT Customized Solutions

  • โœ“Custom-integrated circuits and flexible platforms (ROS, Python, C++).
  • โœ“Deployment of modern industrial-grade AGVs, AMRs, and 6-axis Arms.
  • โœ“Project-based learning encouraging reverse-engineering and innovation.
  • โœ“Direct placement assistance and pipeline to top robotics companies.
  • โœ“Modular ecosystemโ€”upgrade sensors and compute boards anytime.
How It Works

Deploy Any Package At Your Institution

๐Ÿ•

Free 30-hour hands-on training

Comprehensive hands-on training for students and faculty included with every deployment.

๐Ÿ—๏ธ

Industrial Exposure

Real-world applications in logistics, smart warehouses, and supply chain automation.

๐ŸŽ–๏ธ

Defense Internships

Internship opportunities on Indian Navy & Indian Army projects with PNT Robotics.

๐Ÿ“œ

Letter of Recommendation

LOR provided to selected outstanding students.

๐Ÿ†

Robotics Competitions

Entry into national and international robotics competitions.

Why PNT

Value Proposition

๐Ÿ”ง

Modular Design

  • Add or replace microcontrollers/SBCs
  • Integrate additional sensors, drivers, communication modules
  • Increase degrees of freedom in robotic arms
  • Redesign power distribution, control logic, and feedback loops
๐Ÿ–จ๏ธ

3D Printed & Customizable

  • Parts of robotic arm, AGV, or AMR are 3D printed
  • CAD files and tutorials provided
  • Students can experiment with different designs
  • Encourages reverse engineering & system-level thinking
๐Ÿ’ป

Customizable Architectures

  • Robotic Arm + AMR integration
  • AGV + Robotic Hand coordination
  • Custom hybrid robotic systems for research projects
  • Full coding flexibility โ€” no black-box controllers
๐Ÿ”‹

Fireproof Battery Systems

  • Industry-grade Fireproof LiFePO4 power cells
  • Guaranteed safe continuous operation
  • Integrated Battery Management System (BMS)
  • Extended 6-hour rigorous testing lifespan
๐Ÿ”ฌ

Research & IIC Enablement

  • Encourages reverse engineering
  • System-level thinking
  • Innovation beyond predefined experiments
  • IEEE / Scopus paper guidance
3D Model

PNT Mini/Basic Robotic Arm

6 DOF | Raspberry Pi 5 | 0.3MP Camera

Unlike plug-and-play labs, our robots are built on customizable integrated circuits โ€” enabling circuit-level customization, DOF expansion, and multi-robot integration.

Technical Specifications

โ€ขDimensions: 500x500x573 mm | Weight: 10 kg

โ€ขActuators: 5 x 180ยฐ & 1 x 270ยฐ Bus Servo Motors (11kg/cm)

โ€ขMicrocontroller: Raspberry Pi 5 with WiFi

โ€ขDisplay: 0.96-inch OLED Display

โ€ขCamera: 0.3MP High-resolution Camera

โ€ขPorts: 2x USB 2.0, 1x HDMI

  • Demonstration of pick and place automation
  • Demonstration of gesture-controlled robotic arm
  • Sensor Feedback Integration with robot arm
  • Path Planning and Motion Control
  • Object Detection using OpenCV
  • Object Sorting by Colour & by Size
  • Programming for Industrial Applications
  • Integration with IoT for Remote Control
  • AI integration with robot arm
3D Model

PNT Advance Robotic Arm

6 DOF | ROS System | Depth Camera

Advanced research robotic arm equipped with ROS and MoveIt simulation.

Technical Specifications

โ€ขDimensions: 310x420x900 mm | Weight: ~15kg

โ€ขActuators: 6x High Torque Stepper motors, 1x Servo for gripper

โ€ขControl System: ROS System on Single Board Computer

โ€ขSensors: Depth Camera (30 FPS, 90ยฐ FOV) for AI

โ€ขPay Load: Max 250g (extended) / 350g (retracted)

โ€ขSimulation: Built-in MoveIt Simulation Software

  • Forward & inverse kinematics programming
  • Pick-and-place task execution
  • MoveIt simulation integration
  • Depth camera for complex AI object detection
  • Multi-axis coordination under ROS
3D Model
Product Detail

PNT Mini/Basic Robotic Hand

6 DOF | ATmega328P | Capacitive Touch Sensor

Advanced dexterous manipulation and prosthetic hand research platform.

Technical Specifications

โ€ขWeight: 4 kg

โ€ขActuators: 6x 180ยฐ Servo Motors (11kg/cm)

โ€ขMicrocontroller: ATmega328P via USB 2.0

โ€ขSensors: Capacitive Touch Sensor

โ€ขInterface: Rotary Encoder With Button, 16x2 LCD Display

  • Finger movement coordination
  • Feedback mechanism demonstration
  • EMG-based hand control
  • Gesture-based hand control
  • Prosthetic Hand Demonstration
  • Haptic Feedback System
  • AI-Based control of hand
  • AI-based gesture control
  • Integration with Wearable Tech
  • Remote-controlled hand movement
3D Model

PNT Mini Drone

Custom Firmware | 5MP HD720p30 | Vision System

A PNT-customized aerial platform โ€” we build our own software stack on top of the hardware, turning it into a fully programmable AI drone lab tool unique to every deployment.

Technical Specifications

โ€ขDimensions: 98ร—92.5ร—41 mm | Weight: 80g

โ€ขFlight: 13 min per battery (3 included) | Max Speed: 8m/s (Max Height: 30m)

โ€ขCamera: 5MP (2592ร—1936) HD720p30 with 720p Live View

โ€ขHardware: Intel Processor, 2.4 GHz WiFi, Detachable 1.1Ah Fireproof Battery

โ€ขSensors: Range Finder, Barometer, Optical Sensors

  • PNT custom software layer for autonomous mission control
  • SDK programming via PNT APIs โ€” Python, Scratch & ROS bridges
  • Autonomous takeoff, precision landing, and waypoint navigation
  • Mission-pad based positioning with custom PNT coordinate logic
  • AI-based object detection from aerial view (PNT Vision SDK)
  • Face tracking and subject-following with PNT AI modules
  • Obstacle avoidance using PNT-tuned vision pipeline
  • Warehouse automation using custom QR/barcode logic
  • Aerial Photography, Surveillance, and inspection missions
  • PC dashboard application developed by PNT for fleet control
3D Model

PNT Advance AMR

Mecanum Drive | Raspberry Pi 5 + Teensy 4.1 | LiDAR

Next-generation Autonomous Mobile Robot for complex indoor and outdoor navigation.

Technical Specifications

โ€ขDimensions: 415x510x282 mm | Weight: 10-11 kg

โ€ขPayload Capacity: 2 kg | Top Speed: 0.5 m/s

โ€ขDrive System: Mecanum Drive (4 wheels)

โ€ขBattery: 12V 12Ah Fireproof LiFePO4 (3 hours run time)

โ€ขSensors: Encoder based motors, IMU, LIDAR, RGB Camera

โ€ขControl System: ROS System (Raspberry Pi 5 + Teensy 4.1)

  • Hardware interfacing and integration of sensors and actuators with ROS
  • Odometry sensor data and teleoperation control
  • Mapping indoor environments using LiDAR sensors
  • Autonomous navigation with parameter tuning
  • SLAM-based real-time mapping
  • Multi-floor navigation capability
3D Model

PNT Standard AMR

Differential Drive | Raspberry Pi 5 | LiDAR

Addressing real-world challenges in logistics and defense deployment scenarios.

Technical Specifications

โ€ขDimensions: 300x356x328 mm | Weight: 5 kg

โ€ขPayload Capacity: 2 kg | Top Speed: 0.3 m/s

โ€ขDrive System: Differential Drive (2 wheels + 2 casters)

โ€ขBattery: 12V 12Ah Fireproof LiFePO4 (3 hours run time)

โ€ขSensors: Encoder based motors, IMU, LIDAR, RGB Camera

โ€ขControl System: ROS System (Raspberry Pi 5)

  • Hardware interfacing and integration of sensors and actuators with ROS
  • Odometry sensor data and teleoperation control for AMRs
  • Mapping indoor environments using LiDAR sensors
  • Autonomous navigation with parameter tuning
3D Model

PNT Basic AGV

Dual high-torque DC motors | 100 kg Payload | Line Following

Automated guided vehicles for smart warehouse and factory floor automation.

Technical Specifications

โ€ขDimensions: 800x500x200 mm | Weight: < 20 kg | Payload: Up to 100 kg

โ€ขDrive System: Dual DC motors with integrated encoders

โ€ขNavigation: 8-sensor pair line follower, Ultrasonic obstacle detection

โ€ขProcessor: Dual-core microcontroller with Wi-Fi & Bluetooth

โ€ขPower: 12V Fireproof Rechargeable LiFePO4 Battery (Up to 6 hours)

  • Line following AGV demonstration
  • Obstacle avoidance demonstration
  • Automated goods transportation
  • Speed and acceleration control
  • Wireless & IoT-based Control
3D Model

PNT Advance AGV

SLAM Navigation | 100 kg Payload | ROS System

Advanced SLAM-based Automated Guided Vehicle for independent dynamic pathfinding.

Technical Specifications

โ€ขDimensions: 800x500x200 mm | Weight: < 20 kg | Payload: Up to 100 kg

โ€ขDrive System: Dual DC motors with integrated encoders

โ€ขNavigation: Lidar Sensors for auto navigation and line independent movements

โ€ขControl System: ROS System on Single Board Computer (SLAM Technology)

โ€ขPower: 12V Fireproof Rechargeable LiFePO4 Battery (Up to 6 hours)

  • RFID-based navigation system
  • SLAM-based real-time mapping
  • Path planning via custom algorithms
  • Automated goods transportation
  • Integration of external sensors
Key Advantages

College Benefits

๐ŸŽ“

Academic Benefits

  • โœ“Supports NEP 2020 experiential & skill-based learning
  • โœ“Branch-aligned curriculum integration
๐Ÿ’ก

Innovation & Entrepreneurship

  • โœ“Innovation challenges & hackathons
  • โœ“Prototype development
  • โœ“Student startups support
๐Ÿ‘ฉโ€๐Ÿซ

Faculty Development

  • โœ“FDPs (paid/sponsored)
  • โœ“Train-the-trainer certification
  • โœ“Access to hardware schematics, software repositories, experiment manuals
  • โœ“Joint mentoring model (PNT + faculty)
๐Ÿ’ผ

Revenue & Research

  • โœ“Certification programs for external students
  • โœ“Industry workshops & bootcamps
  • โœ“Sponsored final-year projects
  • โœ“Capstone & minor project themes
  • โœ“IEEE / Scopus paper guidance
  • โœ“Prototype-to-patent pathway
  • โœ“Support for innovation grants & competitions
Interdisciplinary Integration

Branch Alignment & Curriculum

Our robotics lab bridges the gap between multiple engineering disciplines, fostering a truly collaborative and mechatronic learning environment.

โš™๏ธ

Mechanical

Kinematics, dynamics, and structural analysis of robotic arms and AGVs.

๐Ÿค–

Mechatronics

Synergy of mechanical structures with electronic control systems.

โšก

Electrical & E&TC

Power distribution, motor drives, and embedded communication.

๐Ÿ’ป

Computer Science & IT

Software architecture, ROS programming, and algorithmic path planning.

๐Ÿง 

AI & Machine Learning

Computer vision, object detection, and autonomous decision making.

๐Ÿฆพ

Robotics Engineeering

Complete system integration, sensor fusion, and advanced autonomy.

Industry Connect

Institute Lab Association

Trusted by leading technical institutions across India.

IIT Mumbai
Pune University
VIT
MIT College
Symbiosis

Upload logos via Admin โ†’ Partners & Logos โ†’ Institute Partners (Colleges)

Student's Testimonials

Proven Outcomes

Hear from engineering students who have gained hands-on experience, secured internships, and accelerated their careers through our industrial automation labs.

Gaurav Mishra

Gaurav Mishra

Pillai College of Engineering

"Completed a 6-month internship, contributed to building a robotic arm, and am now an AI & Robotics Engineer working on innovative projects."

Dewang Kanekar

Dewang Kanekar

Bharati Vidyapeeth

"Completed an Industrial Robotics Internship Program and am now an intern at PNT Robotics, working on robotic hands and trolley robots."

Ishanya

Ishanya

Manipal Academy of Higher Education, Dubai Campus

"I conducted filament color change tests, dynamic analysis, and researched braking mechanisms for high-RPM flywheels. Additionally, I assembled parts for an Autonomous Navigation machine, experimented with bearings, tested Arduino Nano modules, and used tools like angle grinders and drilling machines."

Join the Automation Revolution

PNT Academy invites your institution to be a part of this transformative journey in automation education. Together, let us shape the future of education and innovation.

Join hands with PNT Academy to revolutionize your institution's approach to learning and empower the next generation of automation leaders.