Awesome Large Language Models
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Anqi Li — most-cited papers & profile · Large Language Models
← authors
·
overview
Anqi Li
20
papers ·
56
citations ·
16
h-index
Harbin University of Science and Technology · Northeast Agricultural University · China Academy of Space Technology · China University of Petroleum, Beijing
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems
2020 · 16 citations
Geometric Fabrics for the Acceleration-based Design of Robotic Motion
2020 · 14 citations
Stable, Concurrent Controller Composition For Multi-objective Robotic Tasks
2019 · 13 citations
SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic Flow Prediction
2024 · 9 citations
Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees
2020 · 2 citations
HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation
2025 · 1 citations
TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation
2023 · 1 citations
UrbanVLA: A Vision-Language-Action Model for Urban Micromobility
2025
Do What You Say: Steering Vision-language-action Models Via Runtime Reasoning-action Alignment Verification
2025
Embodied Navigation Foundation Model
2025
PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
2025
Urbanvla: A Vision-language-action Model For Urban Micromobility
2025
Plug-and-Play Posterior Sampling for Blind Inverse Problems
2025
TrackVLA: Embodied Visual Tracking in the Wild
2025
A Sequential Composition Framework for Coordinating Multi-Robot Behaviors
2019
Topics
Control
Navigation
Sim-to-Real
Perception
Multi-Robot
Manipulation
Vision-Language Models
Video-Language
Embodied & Agents
Instruction Tuning