From Beginner to Advanced in Autonomous Systems & Robotic Applications. Build intelligent robotic systems using ROS for real-time sensing, control, and decision-making with sensors, actuators, and robotic simulations for autonomous navigation and obstacle avoidance.
An actionable, industry-aligned roadmap engineered for career transformation.
Compressed learning cycle for maximum retention and skill acquisition.
Go beyond theory with live coding sessions and real-world datasets.
Build a professional portfolio that stands out to top-tier recruiters.
Industry-recognized credentials to validate your Core expertise.
Introduction to Robotics Systems & ROS Concepts
ROS Installation & Workspace Setup (Linux Environment)
Understanding ROS Nodes, Topics & Messages
Basic Publisher-Subscriber Communication & Gazebo Simulation
Timeline
Master ROS Fundamentals & Linux Setup
ROS Services & Parameter Server
Sensor Integration (Ultrasonic / LiDAR – Conceptual)
Actuator Control (Motors & Movement Commands)
Real-Time Data Flow between Nodes & Obstacle Detection Lab
Timeline
Build Real-Time Node Communication & Sensor Control
Introduction to Robot Perception Systems
Working with Sensor Data for Environment Awareness
Localization & Mapping Concepts (SLAM – Conceptual)
Path Planning Basics & Autonomous Navigation Mini Project
Timeline
Implement Perception & Autonomous Navigation
Integrating Sensors, Control & Decision Logic
Designing Autonomous Robotic Workflows
Real-Time Monitoring & Feedback Systems
Debugging Robotic Systems & Real-World Use Cases (Warehouse, Delivery)
Timeline
Design End-to-End Autonomous Robotic Workflows
Final Project Kickoff – Smart Warehouse Robot (Object Transport Simulation)
System Design: Sensor Input, Navigation & Control
Implementation of Autonomous Behavior using ROS
Testing, Debugging & Performance Optimization
Timeline
Build a Complete Smart Warehouse Robot
Simulation Validation & Output Analysis
Version Control using Git & GitHub for Robotics Projects
Project Presentation & Technical Documentation
Career Guidance for Robotics, Automation & Autonomous Systems
Timeline
Industry-Ready Robotics & ROS Developer
Work with ROS (Robot Operating System) for robotic application development, Gazebo for simulation, and Linux for environment setup. Gain experience in sensor integration, actuator control, and real-time robotic communication systems, along with exposure to autonomous system design.
Real challenges. Real autonomous systems. Your portfolio will feature end-to-end ROS-based robotic applications simulated in Gazebo and ready for real-world deployment.
Develop a robot that detects obstacles in its path and responds using sensor data and ROS publisher-subscriber communication.
Learn More arrow_forwardBuild a robot that navigates a predefined path using ROS-based control, localization, and path planning algorithms.
Learn More arrow_forwardDevelop robotic systems for automation, navigation, and intelligent control across warehouse and delivery use cases.
Learn More arrow_forwardSimulate a complete autonomous robot that transports objects within a warehouse environment — integrating ROS communication, sensor fusion, path planning, and decision-making logic in Gazebo simulation.
Learn More arrow_forwardMove beyond textbook robotics theory to building real-world, production-ready autonomous robotic systems using ROS.
| Skill Category | Before Pantech | After Internship |
|---|---|---|
| Skillset | Theoretical knowledge of robotics concepts and basic programming. |
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End-to-end ROS-based robotic system
development with sensor integration and autonomous control.
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| Project Scope | Pencil-and-paper robotic diagrams and Arduino hobby demos. |
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Simulation-ready Smart Warehouse
Robots, Obstacle Avoidance & Autonomous Navigation systems.
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| Tool Proficiency | Basic microcontroller programming with limited hardware exposure. |
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Production-ready ROS, Gazebo, Linux, LiDAR, SLAM & Git workflows for robotics.
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A step-by-step progression from robotics fundamentals to building industry-grade autonomous ROS systems.
Mastering robotics concepts, ROS architecture, Linux and Gazebo simulation setup.
1Building publisher-subscriber nodes, services, and sensor/actuator integration.
2Implementing SLAM, path planning and autonomous navigation workflows.
3Deploying smart warehouse robots and launching your robotics career.
4A comprehensive suite of tools, code templates, and live environments for mastering ROS Robotics Development.
Access to 30+ records and instructor-led LIVE weekend sessions for ROS & Robotics.
Source code, URDF files, simulation worlds and project files for every module.
Interactive support for debugging ROS nodes, sensor data, and Gazebo simulations.
Updated records, datasets and presentations — learn anytime.
Validate your skills with a certificate that carries weight. Our credentials are recognized by leading tech firms across the country.
Unique QR code for instant digital verification
LinkedIn-ready digital credential
Increases visibility in recruiter searches
Official seal from Pantech Solutions
Status
Verified Intern
The certificate acknowledges the learner’s participation in structured training, industry‑oriented project development, and practical implementation under professional guidance.
This is to certify that the learner has successfully completed the Certification Program with Pantech. This professional certification formally recognizes the learner’s achievement, confirming their participation in structured training, guided project work, and practical implementation during the program.
A prestigious joint certification from SVNIT and Pantech. Note: Need to pay extra Rs.500 for service charges.
Select the program that matches your career goals and current expertise level.
1 Month - Rs. 999 + GST
Perfect for beginners. Master the core fundamentals and build your first industry-standard projects.
2 Month - Rs. 1899 + GST
For those with basic knowledge. Deep dive into advanced architectures and professional workflows.
3 Month - Rs. 2499 + GST
Designed for final year students and professionals. Focus on deployment, scaling, and leadership.
Our alumni are driving innovation at the world's most prestigious technology and consulting firms.
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Edge AI Masterclass Participant
"The Embedded Systems with IoT Solutions course was an excellent experience. I learned a great deal about integrating embedded systems with IoT, thanks to the clear and structured teaching. Mr. Sathish and Mr. Karthik were knowledgeable and passionate, breaking down complex topics into easy-to-understand modules. The sessions were fun, effective, and highly practical, making the learning process both engaging and impactful."
Embedded Systems & IoT Learner
"This course was extremely useful for my studies and future project work. The sessions were engaging, and the trainer explained the concepts very clearly, making the class both interesting and practical. The hands-on activities with electronic components and real-world applications gave me valuable experience that will support my upcoming semester projects. Overall, it was a highly beneficial and motivating learning experience."
Electronics Course Participant
Everything you need to know about the ROS (Robot Operating System) Internship program.
The internship is available in both Offline and Online modes, with flexible duration options of 15 Days, 1 Month, 2 Months, or 3 Months.
This internship is ideal for engineering students, robotics enthusiasts, embedded system developers, and freshers who want to master autonomous robotic systems using ROS and Gazebo simulation.
You'll master ROS (Robot Operating System), Gazebo simulation, Linux/Ubuntu environments, Python & C++ for robotics, LiDAR sensor concepts, OpenCV, SLAM algorithms, and Git — a complete modern robotics toolkit.
Yes! You'll build 2 to 5+ LIVE robotics projects including an Obstacle Detection Robot, Autonomous Path Navigation Robot, and a Smart Warehouse Robot capstone — all Gazebo-simulated and portfolio-ready.
Absolutely. Upon successful completion, you receive an Industrial Internship Certificate, a Mastermind Certificate, and optionally a joint SVNIT + Pantech Recognition Certificate.
No prior experience is required. The program starts from robotics and ROS fundamentals in Linux, then progressively builds up to advanced autonomous navigation and system integration. Projects are simulation-based.