Papers
1
Total Citations
8
H-Index
1
About
Lei Yao is a leading researcher in embodied artificial intelligence, with a primary focus on object-centric robotic manipulation. Their work bridges the gap between perception and action, enabling robots to interact intelligently with their physical environment. Yao’s most cited paper, "A Survey of Embodied Learning for Object-centric Robotic Manipulation" (2025), provides a comprehensive roadmap for this rapidly evolving field, synthesizing key challenges and breakthroughs in how robots learn to grasp, move, and use objects through direct interaction rather than static data. This survey has already garnered 8 citations, signaling its foundational role in shaping future research directions. Yao’s contributions are particularly notable for advancing embodied learning paradigms that move beyond traditional data-driven methods, emphasizing real-world, adaptive skill acquisition. Their work is critical for the next generation of intelligent robots capable of operating in unstructured human environments. As a researcher at the forefront of embodied AI, Lei Yao is helping to define how machines learn to manipulate the physical world, making their research essential reading for anyone interested in the future of robotics and autonomous systems.
Research Focus
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Top Papers
- 1A Survey of Embodied Learning for Object-centric Robotic Manipulation8 citations · 2025