Yumeng Yao
Papers
1
Total Citations
3
H-Index
1
About
Yumeng Yao’s research lies at the intersection of robotics, computer vision, and human-robot interaction, with a particular focus on enabling service robots to operate autonomously in unstructured home environments. Her most cited work, “Visual Servoing of Unknown Objects for Family Service Robots” (2021), introduces a novel visual servoing scheme that leverages randomized trees to allow robots to grasp and manipulate objects without prior knowledge of their shape or appearance. This contribution addresses a critical bottleneck in domestic robotics—the need for real-time adaptability to novel, everyday items. With 3 citations, this paper has already sparked interest in the field of vision-based robot control. Yao’s broader research advances the goal of making family service robots truly helpful, tackling challenges such as object recognition, motion planning, and safe interaction in cluttered spaces. Her work is notable for its practical orientation, bridging theoretical algorithms with real-world deployment. As a rising researcher, Yao is helping to shape the next generation of assistive robots that can learn and adapt on the fly, promising to bring reliable automation into our homes.
Research Focus
Key Achievements
Top Papers
- 1Visual Servoing of Unknown Objects for Family Service Robots3 citations · 2021