Robotics and Artificial Intelligence is a blend of engineering and science that includes Mechanical Engineering, Electrical Engineering and Computer Science Engineering and Programming for automating tasks inside and outside. The department of Robotics and Artificial Engineering is an outstanding treasure house of the institute which incubates and inculcates the passionate instinct of computation. The substratum of the department is the young dynamic faculty members under the guidance for senior experienced fellow colleagues. The faculty members nourish, cherish and implant the young buds of the institute with the basic and advanced knowledge and expertise required to build their career and become commendable technocrats.
The takers for Robotics and Artificial Intelligence will come in droves and the demand for Robotics and Artificial Intelligence will increase phenomenally. This is because this technology is new and is making rounds in the market as everyone is trying to adapt to the intelligent method of change in systems. These new technologies are also being used in the sector, including Enterprises, Military and Defense organizations, or in a private firm. Hence, the career prospects in Robotics and Artificial Intelligence are flourishing and will continue to flourish in the upcoming times.
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VISION – To impart quality domain knowledge of young minds in the field of robotics and artificial intelligence by creative ideas of teaching and contributing their talents to the world of science and technology.
Analog Circuits Lab
The primary goal of this laboratory exercise is to gain a thorough understanding of the circuit arrangements utilized for JFETs, BJTs, and operational amplifiers. It allows students to develop practical skills in designing, constructing, and analyzing these electronic circuits. Pspice software serves as a tool for simulating these circuits, providing valuable hands-on experience.
Modelling and Design Lab
Modeling and design labs serve as dynamic hubs where engineers harness cutting-edge software and hardware to innovate and refine their creations. Modeling and design labs provide a collaborative environment where engineers can work together on projects. They can share ideas, collaborate on designs, and provide feedback to one another, ultimately leading to better outcomes.
Data Structures and Algorithms Lab
A data structure and algorithms lab provides a dedicated space for students and professionals to explore, experiment, and apply theoretical concepts in a practical setting. Equipped with computers, software tools, and reference materials, these labs offer an environment conducive to learning and implementing various data structures and algorithms. Participants engage in hands-on activities such as coding exercises, problem-solving sessions, and algorithmic analysis to deepen their understanding and proficiency.
Mechanical Measurements and Metrology Lab
This lab is associated with the science of mechanical measurements and metrology and also deals with mechanical instruments and equipment’s which include all theoretical and practical aspects of measurements. The scope of this lab is measurement in building, aerospace, auto motives, testing and validation methods in various industries.
Microcontroller Lab
The lab is equipped with Microcontroller ranging from 8 bit to 16 bit such as 8051, MSP430 etc. The lab has provision to conduct detailed experiments on the basicsas well as advanced applications of Microcontrollers such as stepper motor control, Elevator control, Robotic movement control, etc.
Robot Programming and Simulation Lab
A Robot Programming and Simulation Laboratory serves as a specialized facility where students and researchers can delve into the intricacies of robotics through practical experimentation and simulation. Equipped with robotic hardware, programming tools, and simulation software, these labs offer an immersive environment for exploring various aspects of robot design, control, and interaction.
PROGRAM OUTCOMES (POs)
1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2 Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3 Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
4 Conduct investigations of complex problems: Use including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
5 Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
6 The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10 Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11 Project management and finance: ImplementDemonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in up to disciplinary environments.
12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PROGRAM EDUCATIONAL OBJECTIVES (PEOs)
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PROGRAM SPECIFIC OUTCOMES (PSOs)
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