Summer Sessions 2020

Series of online lectures and hands-on tutorials organized to familiarize new lab entrants with the fundamental areas of robotics research.

Table Of Contents

• Summer Sessions 2020
  • Where and When?
  • Tentative Schedule
  • Topics
  • Assignments
    • Plan for assignments/quizzes
      • Assignments
      • Quizzes
    • Assignment Schedule
    • Quiz Schedule
  • References
  • Contact
  • Notifications

Where and When?

• Microsoft Teams.
• Timings: 3 pm - 4:30 pm (can extend by 30 mins for discussing assignments/quizzes) unless it is explicitly mentioned in the table. (Only starting time is mentioned, it is of duration 1.5 hrs as usual)

Bad internet connection?

• For those with bad internet connectivity, you can watch it later on Microsoft Stream or YouTube. The videos will be available within 3 hours after the session has ended, contact the undersigned only if you aren't able to find the video in the playlist even after 3 hours.

Tentative Schedule

Topics

• Math review
  • Fundamentals of Linear Algebra, Calculus and Optimization: Vectors, Matrices, Vector and Matrix operations, Important matrices, Matrix decompositions, Gradient, Hessian, Linear and non-linear least squares, Unconstrained optimization methods, Lagrange multipliers.
• Homogeneous coordinates and Rigid Body Transformations
  • Homogeneous coordinates, representing lines-points-planes, Fundamental Theorem of Projective Geometry, Rotation matrices, Homogeneous Transformation matrices, Rigid Body transformation, Composition of transformation by current-axis and fixed-axis conventions.
• Geometry of Computer Vision:
  • Projective geometry, Camera modelling, Camera Calibration, Epipolar geometry, Triangulation, Resection, Structure from Motion (Bundle Adjustment), Visual odometry.
• State Estimation
  • Bayes Filter, Kalman Filter, Extended Kalman Filter.
• Deep Learning
  • Basic review of ML and forward propagation, Back Propagation, CNN & Optimization Methods, CNN Architectures, RNNs/LSTMS, object detection, PyTorch Introduction and Coding.
• SLAM, Pose Graph Optimization
  • What is SLAM, SOTA Methods, current state of SLAM, Introduction to pose graph optimization.
• Motion Planning and Trajectory Generation
  • Robot modelling, Motion Planning overview, Sampling based planning, Variational methods for planning.
• Dynamics and control
• Visual servoing
• Reinforcement Learning
• ROS

Assignments

Plan for assignments/quizzes

Assignments

• Note: Assignments and/or quizzes are not being held for every topic, check the below tables for more details.

If an assignment is given for a particular concept, we have given a break of 1 day before next concept begins for solving this assignment. Also, the solutions to this assignment will be discussed at the end of next session, for example math review assignment will be discussed at the end of 3rd session (or sometimes at the beginning of the next session in which case the session will start early). But the discussion will be brief for about 30 minutes and you will not be able to follow if you haven't solved the assignment, so please solve it beforehand.

The presenter will confirm the assignment discussion session timings for his specific assignment at the end of his sessions.

Quizzes

Regarding quizzes, they will be at the end of a particular session itself to gauge how much you have learned during that session.

Assignment Schedule

For more details like deadlines or link of assignments, check issues.

Quiz Schedule

(At the end of a particular session)

References

Check issues for detailed reference list.

Contact

• General

Sai Shubodh [email protected]

• Maths (Linear Algebra, Calculus)

Ayyappa VVSST [email protected]

• Deep Learning

S Shashank [email protected]

• ROS

Udit Singh Parihar [email protected]

• Rigid Body Transformations, Projective Geometry

AadilMehdi Sanchawala [email protected]
Aryan Sakaria [email protected]

• Camera Calibration, Multiview Geometry, Bundle Adjustment

Sai Shubodh [email protected]
RAHUL SAJNANI [email protected]

• State Estimation

Abhinav Gupta [email protected]

• Motion Planning and Trajectory Generation

Josyula Krishna [email protected]
Kaustab Pal [email protected]

• Dynamics and control

Suraj [email protected]
Viswanarayan [email protected]

• Visual Servoing

Harish Y V S [email protected]
Pushkal [email protected]

• Reinforcement Learning

kaustubh mani [email protected]

Notifications

Announcements will be made through this repo's issues page, so please subscribe to the repo (by clicking the 'watch' button) to receive notifications or you can subscribe to RSS feed if you want to get notified the moment any material/assignment is uploaded.