I’m Aparajito, a first year Ph.D. student in Robotics at the University of Michigan, Ann Arbor. I currently conduct research on interactive perception and scene understanding for embodied agents as part of the Mapping and Motion Lab advised by Professor Bernadette Bucher. Broadly, my objective is to develop methods for mobile manipulation that leverage human-like behavior to interpret and act in unexplored environments.
Prior to my graduate studies at the University of Michigan, I was a Software Development Engineer at Amazon Fulfillment Technologies and Robotics. As part of the team responsible for driving task planning and robot allocation for the 1,000,000+ 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 platforms, such as Sequoia. I earned my Bachelor of Science degree from Cornell University in 2022, double majoring with honors in Electrical and Computer Engineering and Computer Science.
Publications
Workshop on Multiagent Embodied Intelligent Systems at CVPR 2026
PhyGS: Physically Grounded Controllable Scene Generation
Projects
Teaching
EECS 442: Computer Vision
EECS 442 is an introductory course in computer vision, covering topics such as low-level vision, 2D signal processing, object recognition, image synthesis, 3D reconstruction, and deep learning.
Teaching Materials
For full course details, please visit the course website.
ECE 5725: Design with Embedded Operating Systems
ECE 5725 is an advanced course focused on the design of microcontroller systems using embedded Linux. Student teams design and debug projects on a Raspberry Pi, with emphasis on application and Linux programming alongside control of external hardware.
For full course details, please visit the course website.