B. Tech. in Robotics and Artificial Intelligence

Vision: 

To produce globally competent, innovative, and ethically grounded professionals who will lead the advancement of intelligent systems through interdisciplinary knowledge.

Mission: 

1. To provide students with a strong interdisciplinary foundation in robotics, artificial intelligence, and related technologies.
2. To promote innovation, problem-solving, and critical thinking in designing the intelligent and autonomous systems.
3. To support research and development in cutting-edge areas like machine learning, computer vision, and human-robot interaction.
4. To prepare students for successful careers in industry, academia, and entrepreneurship in the fields of robotics and AI

Goals

• Academic Excellence: Continuously update coursework to reflect the latest advances in machine learning, computer vision, control systems, and embedded robotics.
• Laboratory Proficiency: Ensure every student masters key tools and platforms (e.g., ROS, TensorFlow, and microcontrollers) through structured lab modules.
• Industry Integration: Establish partnerships with leading technology firms to provide internships, guest lectures, and joint R&D initiatives.
• Research Output: Encourage publication of student-led research in top conferences and journals.
• Holistic Development: Organize workshops on ethics, project management, and communication to build well-rounded professionals ready for leadership roles.
• Community Outreach: Launch robotics and AI bootcamps for schools to inspire the next generation of engineers and promote STEM education.

The B.Tech in Robotics and Artificial Intelligence is a cutting-edge undergraduate program designed to equip students with interdisciplinary knowledge and practical skills in the fields of robotics, intelligent systems, and artificial intelligence. This program blends core engineering principles with advanced computing and data-driven technologies, preparing students to build autonomous systems that can perceive, learn, and act intelligently.

Key Features:

Interdisciplinary Curriculum:

Integrates concepts from various disciplines of engineering like Mechanical, Electronics, Computer Science, and Electrical to develop a holistic understanding of intelligent systems.

Core Areas of Study:

• Robotics Design and Kinematics
• Control Systems and Automation
• Artificial Intelligence
• Machine Learning and Deep Learning
• Computer Vision and Image Processing
• Embedded Systems and IoT
• Robot Operating systems

Hands-on Learning:

• Focus on laboratory work, real-world projects, and prototyping using robotic kits, sensors, actuators, and AI tools.
• Encourages undergraduate research, innovation challenges, and participation in robotics and AI competitions.

Industry Integration:

• Collaborations with leading tech companies and startups through internships, industrial visits, guest lectures, and capstone projects.

Career Opportunities:

• Graduates can pursue roles such as Robotics Engineer, AI Developer, Data Scientist, Automation Engineer, Research Scientist, or continue with higher studies in Robotics, AI, or allied fields.

Future-Ready Skills:

• The program emphasizes on understanding and implementing ethical AI, sustainability, and lifelong learning to prepare students for dynamic technological landscapes and societal needs.

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Core Engineering Labs

• Robotics Lab
• Mechatronics Lab
• Embedded Systems & IoT Lab
• Control Systems Lab
• Electrical Machines Lab

AI & Software Labs

• Artificial Intelligence & Machine Learning Lab
• Computer Vision Lab
• Natural Language Processing (NLP) Lab

Simulation & Development Labs

• Simulation and Virtual Robotics Lab
• Programming & Algorithm Design Lab

Fabrication & Prototyping Labs

• Rapid Prototyping & 3D Printing Lab
• Fabrication Lab

Academic-Industry Interactions

Academic-Industry Interactions for B. Tech in Robotics and Artificial Intelligence are essential to ensure students gain practical exposure, stay updated with real-world innovations, and become industry-ready professionals. Following are key modes and benefits of such collaborations:

• Internships & Industrial Training

• Industry-Sponsored Projects

• Guest Lectures & Expert Talks

• Collaborative Research & Consultancy

• Centers of Excellence (CoEs)

• Hackathons & Competitions Sponsored by Industry

• Faculty Development & Training Programs

• Robotics Design Engineer
• Cyber -Physical systems Engineer
• Industrial Automation Engineer
• ROS Developer (Robot Operating System)
• Data Scientist
• AI/ML Researcher
• Natural Language Processing (NLP) Engineer
• Computer Vision Engineer
• Deep Learning Specialist
• Healthcare Robotics Specialist
• UAV and Drone Specialist
• Simulation Engineer 
• Mechatronics Engineer
• HMI Specialist

Graduates of B.Tech in Robotics and Artificial Intelligence are prepared for a wide range of roles across industries that are embracing automation, intelligent systems, and smart technologies. Below are the industries wherein our students can opt to work:

• Aerospace & Defense
• Automotive
• Healthcare & Medical Devices
• Industrial Automation
• Consumer Electronics
• Agriculture (AgriTech)
• Logistics & Warehousing
• Space Exploration
• Entertainment & Gaming
• Smart Homes & IoT

CORE FACULTY MEMBERS:

• Dr. Yatheshth Anand, Associate Professor & Head of SoME
• Dr. Sashi Bhushan Kotwal, Associate Professor, SoECE
• Er. Swastik Gupta, Assistant Professor, SoECE
• Dr. Ankush Raina, Assistant Professor, SoME
• Dr. Prabhu Omer, Assistant Professor, SoEE
• Dr. Vipal Kumar Sharma, Assistant Professor, SoCSE
• Dr Pradeep Singh, Assistant Professor , SoME