Jason Xinyu Liu Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
John Brown University
faculty
Research Areas
Is this your profile? Verify and claim your profile
Biography and Research Information
OverviewAI-generated summary
Dr. Jason Xinyu Liu's research bridges robotics, natural language processing, and machine learning at John Brown University. His work focuses on enabling robots to understand and execute complex natural language commands, particularly for temporal tasks in novel environments. Recent studies involve grounding spatiotemporal navigation commands using large language and vision-language models. He also explores skill transfer methodologies to improve task specification. Additionally, Liu investigates multimodal machine learning applications, including the use of physics-assisted deep learning for weather prediction. His work spans robot manipulation and learning, speech and dialogue systems, and topic modeling.
Metrics
- h-index: 3
- Publications: 11
- Citations: 18
Selected Publications
- λ: A Benchmark for Data-Efficiency in Long-Horizon Indoor Mobile Manipulation Robotics (2025) DOI
- Lang2LTL-2: Grounding Spatiotemporal Navigation Commands Using Large Language and Vision-Language Models (2024) DOI
- Skill Transfer for Temporal Task Specification (2024) DOI
- Physics-Assisted and Topology-Informed Deep Learning for Weather Prediction (2024) DOI
Collaborators
Researchers in the database who share publications
Similar Researchers
Based on overlapping research topics