Jesse Thomason

Jesse Thomason is an Assistant Professor at the Thomas Lord Department of Computer Science, University of Southern California (USC), where he leads the GLAMOR Lab. His research focuses on grounding language in multimodal observations and robotic systems, particularly through language-guided robotics, vision-and-language navigation, neurosymbolic AI, and sign language processing.

• Assistant Professor, USC (2021–present)
• Research Interests: Robotics, AI, NLP, Multimodal Interaction, Accessibility

Recent publications span topics like language-robotics integration, model collapse in synthetic data, and sign language knowledge graphs. He has received best paper awards at robotics and AI workshops. Teaching includes graduate courses in NLP and deep learning.

Notable recent work includes:

• ReWiND (CoRL 2025): Language-guided reward modeling for robot policies
• PSALM-V (arXiv 2025): Neurosymbolic planning with LLMs
• ASL Knowledge Graph (NAACL Findings 2025): Linguistic-infused ASL models

Awards:

• Best Paper, OODWorkshop@RSS25
• Best Paper (2nd Place), InterAI@Ro-MAN 2024