The Indian Institute of Technology (IIT) Kharagpur has received ₹35 crore in funding for what it describes as India’s first School of Physical AI. This development highlights the growing importance of artificial intelligence (AI), robotics and autonomous technologies in engineering education.
Physical AI focuses on AI systems that can interact with the physical world through machines, robots, sensors and intelligent devices. Unlike conventional AI applications that primarily process text, images or digital information, Physical AI enables machines to understand their surroundings, make decisions and perform real-world tasks.
For engineering aspirants, this initiative represents an emerging area of study that could offer opportunities in robotics, intelligent automation, autonomous systems and advanced manufacturing.
What Is Physical AI?
Physical AI combines artificial intelligence with robotics, sensors, control systems and mechanical engineering. It enables machines to perceive their surroundings, process information and take appropriate actions in real-world environments.
Some important applications of Physical AI include:
Robotics: Developing intelligent robots for industrial, medical and domestic applications.
Autonomous systems: Designing self-driving vehicles, drones and machines that can operate with limited human intervention.
Smart manufacturing: Using AI-powered machines to improve industrial productivity and precision.
Healthcare technology: Developing robotic assistance systems and intelligent medical devices.
Agriculture: Building automated farming equipment and intelligent monitoring systems.
Human-machine interaction: Creating machines that can respond intelligently to human instructions and environmental changes.
Physical AI requires knowledge of multiple engineering disciplines, making it an interdisciplinary field for students interested in technology and innovation.
Why Is IIT Kharagpur’s Physical AI School Important?
The ₹35 crore funding announced for IIT Kharagpur’s proposed Physical AI School signals growing institutional interest in technologies that connect AI software with physical machines.
The initiative could help strengthen research, interdisciplinary collaboration and advanced technical training in areas such as robotics and autonomous systems. It also reflects the changing needs of industries that increasingly depend on intelligent machines and automation.
However, students should check official IIT Kharagpur announcements for confirmed details about the school's launch, academic structure, available programmes, eligibility criteria and admission process. The funding announcement alone does not establish that a separate degree programme or admission route is already available.
Career Opportunities in Physical AI
Physical AI can be relevant to students pursuing engineering degrees in several disciplines.
Engineering Branch
Potential Career Areas
Computer Science Engineering
AI development, machine learning and intelligent software
Electrical Engineering
Sensors, embedded systems and robotics hardware
Electronics and Communication Engineering
Control electronics, computer vision and intelligent devices
Mechanical Engineering
Robot design, automation and mechatronics
Mechatronics Engineering
Robotics integration and industrial automation
Aerospace Engineering
Autonomous aircraft, drones and intelligent flight systems
Students should remember that career opportunities depend on their technical skills, practical experience, internships, projects and the requirements of individual employers.
How Can Students Prepare for Physical AI?
Students interested in this field can start preparing by developing a strong foundation in mathematics, physics and programming. Learning Python, understanding basic electronics and exploring robotics projects can also help.
Before choosing a college or course, aspirants should consider the following factors:
Course curriculum: Check whether the programme covers AI, machine learning, robotics, control systems and embedded technology.
Laboratory facilities: Look for access to robotics laboratories, practical projects and research opportunities.
Faculty and research: Explore faculty expertise and ongoing work in AI and automation.
Internships and placements: Review relevant industry connections and available practical training opportunities.
Admission eligibility: Confirm the required entrance examination, academic qualifications and selection criteria.
Students should also compare established engineering programmes with specialised interdisciplinary courses before making a final decision.
Engineering Admission Counselling by Bodmas Education
Choosing the right engineering college and programme is an important decision, particularly for students interested in emerging fields such as Physical AI. Bodmas Education provides paid admission counselling guidance to help students explore college options, compare programmes and navigate admission procedures.
Through its engineering admission guidance services, students can seek assistance with:
College selection: Exploring suitable engineering colleges based on rank, entrance examination performance, preferences and eligibility.
Course comparison: Understanding differences between Computer Science, Electrical, Electronics, Mechanical, Mechatronics and other relevant engineering programmes.
Admission guidance: Understanding applicable admission procedures, eligibility requirements and counselling schedules.
Choice filling support: Evaluating college and branch preferences during applicable counselling processes.
Admission planning: Reviewing available options and making informed decisions based on academic interests and career goals.
Students interested in IIT Kharagpur or other institutions offering programmes relevant to AI and robotics should verify the official admission requirements before applying. Bodmas Education can help aspirants understand available options, but admission decisions remain subject to the respective institution's eligibility criteria, seat availability and selection process.
Bodmas Education Counselling Fees 2026
Bodmas Education offers paid counselling guidance across several academic categories. The listed fees are as follows:
| Course Category |
Basic Fee
GST
Total Fee
MBBS
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MD/MS
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₹5,400
₹35,400
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₹3,600
₹23,600
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₹3,600
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₹0*
₹35,499
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₹1,800
₹11,800
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₹4,500
₹29,500
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₹4,500
₹29,500
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₹4,500
₹29,500
MDS
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₹5,400
₹35,400
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₹25,000
₹4,500
₹29,500
DNB/MPH/MHA/2 Years Diploma
₹50,000
₹9,000
₹59,000
The GST treatment for Veterinary counselling should be confirmed directly with Bodmas Education before payment.
How to Apply for Bodmas Education Counselling
Students can apply through the official Bodmas Education counselling website, the Bodmas Education mobile app, Google Form, email submission of the required documents and signed booking form, or by visiting the Noida head office.
Bank transfer details
Particular
Details
Account Name
BODMAS EDUCATION SERVICES PRIVATE LIMITED
Bank
ICICI Bank
Account Number
157805009329
IFSC
ICIC0001578
Branch
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Account Type
Current Account
Application-fee refund provisions do not automatically apply to counselling fees. Students should review the applicable terms and conditions before making payment.
Contact Bodmas Education
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Fees, services and policies may change. Students should confirm the latest information directly with Bodmas Education before enrolling or making a payment.
Conclusion
IIT Kharagpur’s ₹35 crore funding for its Physical AI School brings attention to the growing intersection of artificial intelligence, robotics and engineering. As intelligent machines become increasingly important across industries, students may benefit from exploring interdisciplinary engineering programmes and developing practical technical skills.
For aspirants considering a future in AI, robotics or autonomous systems, careful college selection and an understanding of admission requirements are essential. With appropriate planning and professional admission counselling guidance from Bodmas Education, students can compare available options and make informed decisions about their engineering education.
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