Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models
2025 · Research Square · 2 citations
https://doi.org/10.21203/rs.3.rs-5770637/v1
M
Minghuan Liu
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Minghuan Liu is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Reinforcement Learning in Robotics & Hydrology and Watershed Management Studies & Multimodal Machine Learning Applications. The author has an h-index of 12, co-authored 59 publications.
ORCID: 0009-0009-5585-1746Papers by this author
worksAdditional file 1: Figure S1. of Label-Free 3D Ag Nanoflower-Based Electrochemical Immunosensor for the Detection of Escherichia coli O157:H7 Pathogens
2016 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.c.3698038_d1
Additional file 2: Figure S2. of Label-Free 3D Ag Nanoflower-Based Electrochemical Immunosensor for the Detection of Escherichia coli O157:H7 Pathogens
2016 · Figshare · 0 citations
https://doi.org/10.6084/m9.figshare.c.3698038_d3
What Matters in Building Vision-Language-Action Models for Generalist Robots
2024 · ArXiv.org · 0 citations
https://doi.org/10.48550/arxiv.2412.14058
What matters in building vision–language–action models for generalist robots
2026 · Nature Machine Intelligence · 0 citations
https://doi.org/10.1038/s42256-025-01168-7
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