Solar panel simulation using adaptive control. - Dhruv Kapoor; Paloma Sodhi; Dipankar Deb (CCA, 2012)

High-Throughput Robotic Phenotyping of Energy Sorghum Crops. - Srinivasan Vijayarangan; Paloma Sodhi; Prathamesh Kini; James Bourne; Simon S. Du; Hanqi Sun; Barnabás Póczos; Dimitrios Apostolopoulos; David Wettergreen (FSR, 2017)

In-field segmentation and identification of plant structures using 3D imaging. - Paloma Sodhi; Srinivasan Vijayarangan; David Wettergreen (IROS, 2017)

Virtual Occupancy Grid Map for Submap-based Pose Graph SLAM and Planning in 3D Environments. - Bing-Jui Ho; Paloma Sodhi; Pedro Teixeira; Ming Hsiao; Tushar Kusnur; Michael Kaess (IROS, 2018)

Robust Plant Phenotyping via Model-Based Optimization. - Paloma Sodhi; Hanqi Sun; Barnabás Póczos; David Wettergreen (IROS, 2018)

Online and Consistent Occupancy Grid Mapping for Planning in Unknown Environments. - Paloma Sodhi; Bing-Jui Ho; Michael Kaess (IROS, 2019)

ICS: Incremental Constrained Smoothing for State Estimation. - Paloma Sodhi; Sanjiban Choudhury; Joshua G. Mangelson; Michael Kaess (ICRA, 2020)

Active SLAM using 3D Submap Saliency for Underwater Volumetric Exploration. - Sudharshan Suresh; Paloma Sodhi; Joshua G. Mangelson; David Wettergreen; Michael Kaess (ICRA, 2020)

Learning Tactile Models for Factor Graph-based State Estimation. - Paloma Sodhi; Michael Kaess; Mustafa Mukadam; Stuart Anderson (CoRR, 2020)

LEO: Learning Energy-based Models in Factor Graph Optimization. - Paloma Sodhi; Eric Dexheimer; Mustafa Mukadam; Stuart Anderson; Michael Kaess (CoRL, 2021)

Learning Tactile Models for Factor Graph-based Estimation. - Paloma Sodhi; Michael Kaess; Mustafa Mukadam; Stuart Anderson (ICRA, 2021)

Ground Encoding: Learned Factor Graph-based Models for Localizing Ground Penetrating Radar. - Alexander Baikovitz; Paloma Sodhi; Michael Dille; Michael Kaess (IROS, 2021)

CMU-GPR Dataset: Ground Penetrating Radar Dataset for Robot Localization and Mapping. - Alexander Baikovitz; Paloma Sodhi; Michael Dille; Michael Kaess (CoRR, 2021)

LEO: Learning Energy-based Models in Graph Optimization. - Paloma Sodhi; Eric Dexheimer; Mustafa Mukadam; Stuart Anderson; Michael Kaess (CoRR, 2021)

PatchGraph: In-hand tactile tracking with learned surface normals. - Paloma Sodhi; Michael Kaess; Mustafa Mukadam; Stuart Anderson (ICRA, 2022)

InCOpt: Incremental Constrained Optimization using the Bayes Tree. - Mohamad Qadri; Paloma Sodhi; Joshua G. Mangelson; Frank Dellaert; Michael Kaess (IROS, 2022)

Theseus: A Library for Differentiable Nonlinear Optimization. - Luis Pineda; Taosha Fan; Maurizio Monge; Shobha Venkataraman; Paloma Sodhi; Ricky T. Q. Chen; Joseph Ortiz; Daniel DeTone; Austin S. Wang; Stuart Anderson; Jing Dong 002; Brandon Amos; et al. (NeurIPS, 2022)

Learning and Inference in Factor Graphs with Applications to Tactile Perception. - Paloma Sodhi (2022)

On the Effectiveness of Offline RL for Dialogue Response Generation. - Paloma Sodhi; Felix Wu; Ethan R. Elenberg; Kilian Q. Weinberger; Ryan McDonald (ICML, 2023)

HeaP: Hierarchical Policies for Web Actions using LLMs. - Paloma Sodhi; S. R. K. Branavan; Ryan McDonald (CoRR, 2023)

Workflow-Guided Response Generation for Task-Oriented Dialogue. - Do June Min; Paloma Sodhi; Ramya Ramakrishnan (CoRR, 2023)

Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback. - Sanjiban Choudhury; Paloma Sodhi (ICLR, 2025)