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ATAL FDP on Robotic Operating System 2 (ROS 2) and Artificial Intelligence for Next-Gen Robotics 2026 and GSSSIETW, Mysuru (Jan 05, 2026)
Educators, research scholars, and PhD candidates now have a premier opportunity to master the convergence of robotics middleware and intelligent systems. Specifically, the ATAL FDP on Robotic Operating System 2 (ROS 2) and Artificial Intelligence for Next-Gen Robotics 2026 is designed to bridge the gap between academic theory and the rapidly evolving global AI market. Hosted by the Department of CSE (AI&ML) at GSSSIETW, Mysuru, this six-day online program provides the technical roadmap necessary for developing sophisticated autonomous systems. Furthermore, participants will engage with cutting-edge frameworks like TensorFlow and PyTorch to drive innovation in deep learning-based robotic behavior. Consequently, this initiative serves as a vital catalyst for professional growth in the engineering domain.
Program Highlights
| Feature | Details |
| Program Title | Robotic Operating System 2 (ROS 2) and Artificial Intelligence for Next-Gen Robotics |
| Organizing Institution | GSSS Institute of Engineering and Technology for Women (GSSSIETW), Mysuru |
| Department | Computer Science and Engineering (Artificial Intelligence & Machine Learning) |
| Dates & Duration | January 5th to January 10th, 2026 (6 Days) |
| Mode of Delivery | Online (ATAL Sponsored) |
| Daily Schedule | Mon-Fri: 6:00 PM – 9:00 PM; Sat: 2:00 PM – 8:00 PM |
Program Overview
The primary objective of this Faculty Development Programme (FDP) is to equip technical professionals with advanced proficiency in ROS 2, which is the industry-standard middleware for robotics. Specifically, the curriculum integrates AI techniques such as computer vision and machine learning to enable complex robotic behaviors. In addition, as the global AI market is projected to reach US$400 Billion by 2025, this program addresses the critical need for educators to lead projects in deep learning, autonomous surgical robotics, and real-time motion analytics. Accordingly, the initiative aims to foster a robust ecosystem for research and innovation in intelligent autonomous systems. In other words, it transforms theoretical knowledge into practical, industry-ready expertise.
Eligibility Criteria
The program is open to a diverse group of professionals from across India. In particular, the following categories are eligible to apply:
- Faculty members from AICTE-approved institutions.
- Research scholars and PhD candidates currently pursuing their degrees.
- Postgraduate (PG) students specializing in Engineering and Technology.
- Industry personnel and professionals from R&D organizations.
Curriculum & Topics Covered
The curriculum is structured as a progressive learning journey, moving from foundational Linux environments to advanced AI deployments. For instance, the following modules will be covered:
- Robotics Foundations: Introduction to Robotics, Robot Programming, and Linux for Robotics.
- ROS 2 Core: Workspace management, Packages, Nodes, Topics, Messages, and Services.
- Advanced ROS 2 Communication: Action Clients, Action Servers, and complex ROS 2 Projects.
- Robot Modeling: URDF and URDF-XACRO modeling for Gazebo simulation environments.
- AI Integration: Implementation of AI-driven navigation and Frameworks (TensorFlow, PyTorch, OpenCV).
- Deep Learning Deployment: Deploying YOLO and SSD models within the ROS 2 environment.
- Autonomous Navigation: Hands-on sessions with Nav2 for advanced robotic mobility.
Resource Persons
The program features a distinguished lineup of experts from top-tier academic institutions and leading robotics industries. Therefore, participants will gain insights from the following professionals:
| Expert Name | Designation & Organization | Experience |
| Dr. K R Prakash | Professor & Head, NIE, Mysuru | 28 Years |
| Dr. K. Suthendran | Professor, Kalasalingam Academy of Research and Education | 22 Years |
| Dr. T S Pradeep Kumar | Professor, School of Computing Science and Engineering, VIT | 25 Years |
| Dr. Vijayalakshmi M N | Associate Professor, RVCE, Bengaluru | 26 Years |
| Mr. Stafford Michahial | CTO, PRS Neuroscience and Mechatronics Research Institute | 13 Years |
| Mr. Shubham Nandi | Co-Founder, Rigbetel Labs | 11 Years |
| Nived Chebrolu | Postdoctoral Research Assistant, Oxford Robotics Institute | 12 Years |
| Mr. Pradeep Kumar CTM | Project Manager, L&T Technology Services | 15 Years |
Learning Outcomes
Upon successful completion of the FDP, participants will be able to:
- Build and configure ROS 2 workspaces and complex communication nodes effectively.
- Develop high-fidelity robot models using URDF for simulation in Gazebo.
- Integrate deep learning models like YOLO/SSD for real-time object detection in robotics.
- Implement AI-driven autonomous navigation using the Nav2 framework.
- Design and deploy intelligent robotic applications for diverse sectors like healthcare and manufacturing.
Certification & Assessment
To receive the prestigious ATAL Academy certificate, participants must strictly adhere to the following evaluation standards:
- Attendance: A minimum of 80% attendance is mandatory for all online sessions.
- Assessment: Participants must secure a minimum of 70% in the online test conducted on the final day.
- Feedback: Submission of mandatory daily feedback and a final program feedback form is required.
- Issuing Authority: Digital certificates are issued exclusively by the AICTE Training and Learning (ATAL) Academy.
Registration Details
| Detail | Information |
| Registration Link | click here |
| Institutional Form | click here |
| Registration Fee | Nil (Free of Cost) |
| Selection Criteria | First-come, first-served basis |
| Schedule Link | Download |
| Brochure Link | Download |
Contact Information
For technical queries or registration assistance, participants may reach out to the organizing team at GSSSIETW. Specifically:
- Dr. Arpitha Shankar S I (Associate Professor, Dept. of CSE AI&ML)
- Email: arpithasi@gsss.edu.in | Mobile: +91-9743660263
- Dr. Manjuprasad B (Professor & Head, Dept. of CSE AI&ML)
- Email: hodaiml@gsss.edu.in | Mobile: +91-7259114432
Internal Linking Strategy
Explore more upcoming opportunities in engineering and advanced technology:
- Check other upcoming Engineering FDPs here
- Discover AI and Machine Learning workshops
- View advanced computing and robotics programs
Frequently Asked Questions (FAQs)
What is the mode of the ATAL FDP on Robotic Operating System 2 (ROS2) 2026?
The program will be conducted entirely in online mode. Therefore, it allows flexible participation from across India without the need for travel.
Is there any fee to register for this FDP?
No, as an AICTE-ATAL sponsored program, there is no registration fee. In contrast to many private workshops, this is a fully funded government initiative.
Can industry professionals apply for this robotics program?
Yes, industry personnel are encouraged to apply. Nevertheless, selection is based on the priority guidelines and seat availability set by the ATAL Academy.
How do I receive the participation certificate?
You must maintain at least 80% attendance. Additionally, you must score a minimum of 70% in the online assessment test conducted on the final day.
Which AI frameworks will be covered in the ROS 2 integration sessions?
The program specifically covers the integration of ROS 2 with frameworks such as TensorFlow, PyTorch, and OpenCV. Consequently, participants gain a comprehensive view of modern AI-robotics stacks.