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Yunzhu Li — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yunzhu Li
33
papers ·
236
citations ·
22
h-index
Columbia University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids
2018 · 107 citations
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
2023 · 101 citations
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
2022 · 9 citations
RoboCook: Long-Horizon Elasto-Plastic Object Manipulation with Diverse Tools
2023 · 7 citations
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
2024 · 6 citations
RoboEXP: Action-Conditioned Scene Graph via Interactive Exploration for Robotic Manipulation
2024 · 5 citations
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks
2023 · 1 citations
Learning Physics-Guided Residual Dynamics for Deformable Object Simulation
2026
VTAP Gripper: Synergizing Fingertip Sensing and a Visuo-Tactile Active Palm for Dexterous In-Hand Manipulation
2026
Learning Tactile-Aware Quadrupedal Loco-Manipulation Policies
2026
ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning
2026
Interactive World Simulator for Robot Policy Training and Evaluation
2026
Toward Generalist Neural Motion Planners for Robotic Manipulators: Challenges and Opportunities
2026
IMPASTO: Integrating Model-Based Planning with Learned Dynamics Models for Robotic Oil Painting Reproduction
2026
Learning Force-Regulated Manipulation with a Low-Cost Tactile-Force-Controlled Gripper
2026
Topics
Manipulation
Control
Human-Robot Interaction
Perception
Sim-to-Real
Multi-Robot
Locomotion
cs.HC
Embodied & Agents
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