Shreeyam Kacker

Shreeyam Kacker

Planet Labs · MIT · shreeyam [at] mit [dot] edu

Scholar · GitHub · LinkedIn · ORCID

Hey, I'm Shreeyam. I am a machine learning researcher working on representation learning and planning for autonomous systems. I received my PhD from MIT's STAR Lab, with PI Prof. Kerri Cahoy, where my research focused on autonomous tasking formulations for Earth-observing satellites using computer vision, onboard planning, and edge ML.

At Planet, I work on onboard ML and edge compute and autonomy for high resolution Earth-observing satellites. My previous experience also includes photonics at X, the moonshot factory (formerly Google [x]).

Selected Research

Differentiable Satellite Constellation Configuration

A composition of differentiable orbit propagation and relaxed variants of mission metrics can be used to directly optimize mission-level objectives.

[paper] · [code]

Publications

Continuous Attitude Planning for Agile Earth-Observing Satellite Collection Scheduling using Graphs of Convex Sets

Shreeyam Kacker, Kerri Cahoy

in prep.

Multi-Agent Reinforcement Learning for Spacecraft Electromagnetic Formation Flight with Transformer Policies

Josef Biberstein, Shreeyam Kacker, Kerri Cahoy, Sertac Karaman

in prep.; targeting ICRA 2027

Gaussian KL-Matching Regularization for Self-Supervised Learning

Shreeyam Kacker, Miles Shepherd, Kerri Cahoy

in prep.

See all publications →