Robolab Technologies Pvt Ltd | MIT
ROBOLAB 'A perfect platform to explore, learn and build robots' -Advanced state of the art technical research facility within campus -Hands on practical experience along with required theory -Consolidation of concepts -Industry- institute Interaction -Standard guidelines and essentials -Superior quality and Advanced robot study platforms -Training by Industry Experts And last but not the least -Affordable excellence with Quick Return on Investment Robolab is your very own, on campus, centre of Excellence in Robotics and Industrial Automation, tailor made for you. Equipped with all the advanced technologies used in industries, the Robolab offers training courses consistent with the latest curricula and the industry requirements. Thus, functioning as the perfect platform for its users (students as well as teachers) to explore, learn, build and share their ideas. We believe in providing innovative and interactive training by industry experts and deliver the same while establishing the Robolab. This empowers the trainees to manage the Robolab in future. Our planned ROI model ensures the educational as well as financial returns. Having Robolab has its own perks! We have some standard Robolab offerings and we also customize as per the needs of the institute. Robolab Technologies Pvt. Ltd is a venture by graduates from the prestigious College of Engineering, Pune (COEP) in association with the BHAU Institute of Innovation, Entrepreneurship and Leadership (BIEL), the Incubation centre of the College of Engineering Pune[COEP].
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Lecture Series on Mechanical Engineering

One of the six founding courses of study at MIT, Mechanical Engineering embodies the motto “mens et manus” — mind and hand. Disciplinary depth and breadth, together with hands-on discovery and physical realization, characterize our nationally and internationally recognized leadership in research, education, and innovation. MIT mechanical engineers have always stood at the forefront in tackling the engineering challenges of the day: inventing new technologies, spawning new fields of study, and educating generations of leaders in industry, government, and academia.   Research and Innovation Today, mechanical engineering is one of the broadest and most versatile of the engineering professions. This…

Lecture Series on Mathematics

An undergraduate degree in mathematics provides an excellent basis for graduate work in mathematics or computer science, or for employment in such mathematics-related fields as systems analysis, operations research, or actuarial science.   Because the career objectives of undergraduate mathematics majors are so diverse, each undergraduate’s program is individually arranged through collaboration between the student and his or her faculty advisor. In general, students are encouraged to explore the various branches of mathematics, both pure and applied.   Undergraduates seriously interested in mathematics are encouraged to elect an upper-level mathematics seminar. This is normally done during the junior year or…

Lecture Series on Engineering Innovation and Design

Course Description Learn to produce great designs, be a more effective engineer, and communicate with high emotional and intellectual impact. This project based course gives students the ability to understand, contextualize, and analyze engineering designs and systems. By learning and applying design thinking, students will more effectively solve problems in any domain. Lectures focus on teaching a tested, iterative design process as well as techniques to sharpen creative analysis. Guest lectures from all disciplines illustrate different approaches to design thinking. This course develops students’ skills to conceive, organize, lead, implement, and evaluate successful projects in any engineering discipline. Additionally, students…

Lecture Series on Artificial Intelligence

Course Description This course introduces students to the basic knowledge representation, problem solving, and learning methods of artificial intelligence. Upon completion of 6.034, students should be able to develop intelligent systems by assembling solutions to concrete computational problems; understand the role of knowledge representation, problem solving, and learning in intelligent-system engineering; and appreciate the role of problem solving, vision, and language in understanding human intelligence from a computational perspective.   Course Features Video lectures Subtitles/transcript Assignments (no solutions) Exams (no solutions) Recitation videos Instructor insights This Course at MIT

Lecture Series on Underactuated Robotics

Course Description Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which involve a loss of instantaneous control authority. Controlling nonlinear systems without complete control authority requires methods that can reason about and exploit the natural dynamics of our machines.   This course discusses nonlinear dynamics and control of underactuated mechanical systems, with an emphasis on machine learning methods. Topics include nonlinear dynamics of passive robots (walkers, swimmers, flyers), motion planning, partial feedback linearization, energy-shaping control, analytical optimal control,…