David Paulius Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

John Brown University

faculty

dpaulius@cs.brown.edu

8 h-index 30 pubs 282 cited

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Biography and Research Information

OverviewAI-generated summary

David Paulius conducts research in robot manipulation, machine learning, and AI-based problem solving. His work at John Brown University explores the intersection of robotics and artificial intelligence, particularly regarding how robots can learn and execute complex tasks. Paulius's research encompasses multimodal machine learning applications and automated systems. Recent work focuses on enabling robots to understand and correct errors during task execution using large language models, as well as long-horizon planning with functional object-oriented networks. He has also investigated task planning using weighted functional object-oriented networks and approximate task tree retrieval in knowledge networks, with applications in robotic cooking. His primary research interest lies in advancing robot capabilities through AI and machine learning.

Metrics

  • h-index: 8
  • Publications: 30
  • Citations: 282

Selected Publications

  • Least Commitment Planning for the Object Scouting Problem (2025) DOI
  • Bootstrapping Object-Level Planning with Large Language Models (2025) DOI
  • Lang2LTL-2: Grounding Spatiotemporal Navigation Commands Using Large Language and Vision-Language Models (2024) DOI

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