Publications

I'm interested in how robots can understand and align with human intent and preferences through interaction and feedback, and how predictive, multimodal representations of the world and human behavior can enable this in long-horizon tasks.

* Equal Contribution† Equal Advising

Representative works are highlighted

Pre-Prints

An Exploratory Study of Bayesian Prompt Optimization for Test-Driven Code Generation with Large Language Models

S. Tomar, A. Deshwal, E. Villalovoz, M. Fazzini, H. Cai, J.R. Doppa

arXiv, 2025

Explores Bayesian optimization as a principled approach to automated prompt search for large language model–based code generation. Demonstrates sample-efficient improvements in functional correctness over strong prompting baselines on the HumanEval+ benchmark.

Paper

2023

Social Triangles and Aggressive Lines: Multi-Robot Formations Impact Navigation and Approach

A. Bacula, E. Villalovoz, D. Flynn, A. Mehta, H. Knight

International Conference on Intelligent Robots and Systems (IROS), 2023

Investigates how different multi-robot formations affect navigation and approach behaviors in social environments. Demonstrates the impact of formation geometry on human-robot interaction and navigation efficiency.

Paper