Hanchen Cui — accepted AI-conference papers

2025

Fine-Tuning Hard-to-Simulate Objectives for Quadruped Locomotion: A Case Study on Total Power Saving

Ruiqian Nai, Jiacheng You, Liu Cao, Hanchen Cui, Shiyuan Zhang, Huazhe Xu +1

ICRA 2025

Legged locomotion is not just about mobility; it also encompasses crucial objectives such as energy efficiency, safety, and user experience, which are vital for real-world applications. However, key factors such as battery power consumption and stepping noise are often inaccurately modeled or missin

Cited by 2 Source ↗code ↗Scholar ↗

2023

A Universal Semantic-Geometric Representation for Robotic Manipulation

Tong Zhang, Yingdong Hu, Hanchen Cui, Hang Zhao, Yang Gao

CoRL 2023poster

Robots rely heavily on sensors, especially RGB and depth cameras, to perceive and interact with the world. RGB cameras record 2D images with rich semantic information while missing precise spatial information. On the other side, depth cameras offer critical 3D geometry data but capture limited seman…

Cited by 22 Source ↗code ↗Scholar ↗