Paloma Sodhi

I am a Research Scientist at ASAPP working on task-oriented dialog and natural language processing for conversational AI systems. I received my Ph.D. in Robotics at Carnegie Mellon University with Michael Kaess where my research was generously supported by the CMU Presidential Fellowship and Meta AI.

I am generally interested in the problem of predictive processing. My research looks at efficient machine learning techniques for inferring latent states online from observation sequences such as language, vision, and touch. My goal is to apply such techniques towards enabling seamless interactions between human and AI partners.

I am excited about product-driven research and have previously worked across applications like tactile manipulation, underwater exploration, and computational agriculture.

news

Mar, 2022	Successfully defended my Ph.D. on “Learning and Inference in Factor Graphs with Applications Tactile Perception”!
Jan, 2022	Our work, PatchGraph, on tracking unseen objects during in-hand manipulations accepted to ICRA 2022! Links: paper, code+video.
Jan, 2022	Gave a talk on factor graphs and tactile perception at the GRASP SFI seminar.
Dec, 2021	Check out my ML@CMU blog post on An Energy-based Perspective on Learning Observation Models.
Nov, 2021	Had a lot of fun co-designing a Technights session on Deconstructing robotics!
Nov, 2021	Excited to present our work on learning energy-based models in factor graph optimization at CoRL 2021! Links: paper, code+video.
Sep, 2021	Our work on learned GPR models selected as a best conference paper finalist at IROS 2021. Congratulations Alex! Links: arXiv.
Jul, 2021	Excited to be in the 2021 cohort of RSS Pioneers! Links: poster, statement.