Projects for students (Internship, BTP, MTP, Course)

Student projects are divided in three categories. The expected outcome depends on the duration of the project and therefore, students are not supposed to complete the project. Instead, their performance will be evaluated on the basis of efforts they put in learning. In addition, my inputs will be proportional to the efforts of the student. Maximum two members in a team are allowed. The three categories of projects are

  1. Review and tutorial: You can select a few papers relevant as per your interest in which control and learning both are present. You can summarize those papers or their problem formulation, try to make a tree to connect other related papers and attempt to provide your own perspective. I will grade you on the basis of consistency, exhaustiveness, and completeness. You can write an article on medium or a post on LinkedIn to get noticed by the people or industries working in the related area. In this way, you will be able to secure your next career stop. Please do not use my name in your social media post without my permission.
  2. Reproduce and benchmarking: You can select a paper according to your interest and my recommendations, and reproduce their simulation results. If you have some novelty, you can make your git repository public. This open source contribution will help you to demonstrate your skills in front of interviewers and boost your resume. Please do not use my name anywhere in your git repository without my permission.
  3. Research and invent: For the course project, you can choose any topic within the general theme of the course for your research in a team of maximum four members. You can continue the work that you are doing with other faculty members with their permission. I will provide the publishable and applicable research directions to students who are working with me and willing to follow ethics policy.

You should consider the papers published in top AI and robotics conferences. You can choose papers written by famous people so that you can understand their research direction. You can also see the work carried out in top universities and industries.