Yuejiao Su
Papers
1
Total Citations
8
H-Index
1
About
Yuejiao Su is a rising researcher at the forefront of embodied artificial intelligence, with a primary focus on object-centric robotic manipulation. Her most-cited work, “A Survey of Embodied Learning for Object-centric Robotic Manipulation” (2025), has already garnered 8 citations, establishing her as a key voice in this rapidly evolving field. Su’s major contribution lies in synthesizing and advancing the understanding of how embodied learning—where agents learn through direct physical interaction with their environment—can be applied to enable robots to perceive, grasp, and manipulate objects with human-like dexterity. Unlike traditional data-driven methods that rely on static datasets, her work emphasizes the importance of interactive, sensorimotor learning for real-world robotic tasks. This survey has become an essential resource for researchers and students seeking a comprehensive overview of the challenges and breakthroughs in embodied AI. Su’s research is particularly notable for bridging the gap between theoretical frameworks and practical robotic applications, making her a promising figure in the quest for next-generation intelligent robots capable of operating autonomously in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1A Survey of Embodied Learning for Object-centric Robotic Manipulation8 citations · 2025