Hello!

I’m Aparajito, a first year master’s student in Robotics at the University of Michigan, Ann Arbor. My research interests comprise multi-agent planning, vision-language models, and human-robot interaction. Broadly, my objective is to develop full-stack software solutions to enable context-aware planning and control for multi-robot systems to assist humans in dynamic, unpredictable environments.

Prior to my graduate studies at Michigan Robotics, I was a Software Development Engineer at Amazon Fulfillment Technologies and Robotics based in North Reading, Massachusetts. I was part of the team responsible for driving task allocation, distributed control and multi-agent path finding for the 750,000+ mobile robots in Amazon’s warehouse network. I have been directly involved in designing large-scale software solutions for some of Amazon’s latest robotic solutions, such as Sequoia and Proteus.

I earned my Bachelor of Science degree from Cornell University in 2022, double majoring with honors in Electrical and Computer Engineering and Computer Science. At Cornell, I was a research assistant at the EmPRISE Lab advised by Professor Tapomayukh Bhattacharjee, where I worked on whole-arm tactile sensing for robotic manipulators. I was also a teaching assistant for a graduate level course in embedded operating systems taught by Professor Joseph Skovira and a team leader for the Cornell Cup Robotics project team.

In my spare time, I like to play the guitar, ski, and read! If you have any further questions about my experiences or want to talk about multi-robot planning, decentralized robot control algorithms, or rock music, feel free to send me an email.