1 citations · 1 across the 4 of their papers we have counts for
5 papers
EMoG: Emotion-Modulated Gait Generation for Expressive Humanoid Locomotion
Yi Lu, Tianhao Jiang, Honglong Tian +6
Existing humanoid locomotion systems primarily focus on stability and task execution, while integrating expressiveness with explicit locomotion control remains challenging. We prop…
C2Dex: Contact-Consistent Reconstruction and Retargeting for Dexterous Manipulation from Monocular Video
Jie Ren, Zhehao Jiang, Yinhong Yang +9
High-quality demonstrations for dexterous robot manipulation are costly and difficult to collect, whereas monocular human videos provide a scalable source of diverse manipulation b…
PEAfowl: Perception-Enhanced Multi-View Vision-Language-Action for Bimanual Manipulation
Qingyu Fan, Zhaoxiang Li, Jinrui Hu +8
Bimanual manipulation in cluttered scenes requires policies that remain stable under occlusions, viewpoint changes and scene variations. Existing vision-language-action models ofte…
A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
Xiaoxiao Long, Qingrui Zhao, Kaiwen Zhang +15
The pursuit of artificial general intelligence (AGI) has placed embodied intelligence at the forefront of robotics research. Embodied intelligence focuses on agents capable of perc…
Gaseous Object Detection
Kailai Zhou, Yibo Wang, Tao Lv +2
Object detection, a fundamental and challenging problem in computer vision, has experienced rapid development due to the effectiveness of deep learning. The current objects to be d…