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Aravind Sivaramakrishnan

DCS Grad Student
Research Area: 
Machine Learning

I am a first year PhD student in Computer Science at Rutgers University. I am a part of the PRACSYS lab, advised by Kostas Bekris. I am broadly interested in applying machine learning algorithms to problems in robotic manipulation. I am also excited about building robust, real-world robotics systems that integrate perception, planning and learning. Currently, I am investigating the following problems:

  • Generating maneuver sets for efficient motion planning.
  • Learning to perform composite hierarchical tasks in a weakly supervised setting.

Prior to my PhD, I earned an MS in Computer Science from Rutgers. I earned my undergraduate degree in Computer Science & Engineering from Amrita Vishwa Vidyapeetham University. In summer 2018, I was an intern at Preferred Networks working with Wilson Ko and Kuniyuki Takahashi.

You can find more information on my personal website.


Classes Taught: 
CS440: Introduction to Artificial Intelligence (Summer 2017,Spring 2018), CS520: Introduction to Artificial Intelligence (Spring 2017,Fall 2017), CS460/560: Introduction to Computational Robotics (Fall 2018).