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Linxi Fan — most-cited papers & profile · Multimodal
← authors
·
overview
Linxi Fan
25
papers ·
167
citations ·
20
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
VIMA: General Robot Manipulation with Multimodal Prompts
2022 · 65 citations
Eureka: Human-Level Reward Design via Coding Large Language Models
2023 · 48 citations
MimicPlay: Long-Horizon Imitation Learning by Watching Human Play
2023 · 24 citations
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
2021 · 14 citations
DrEureka: Language Model Guided Sim-To-Real Transfer
2024 · 7 citations
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
2023 · 5 citations
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
2023 · 2 citations
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
2019 · 1 citations
DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning
2024 · 1 citations
Learning Dexterous Manipulation Using Contact Wrench Guidance From Human Demonstration
2026
HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning
2026
GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors
2026
EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data
2026
VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation
2025
Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning
2025
Topics
Manipulation
Human-Robot Interaction
Sim-to-Real
Humanoid
Control
Locomotion
Meta-RL
Perception
Model-Based RL
Policy Gradient