Yalong Ma
Papers
1
Total Citations
14
H-Index
1
About
Yalong Ma is a researcher advancing the field of service robotics, with a primary focus on human-centered environments and intelligent navigation. His key research areas include knowledge graph-based robot reasoning, human-robot interaction, and autonomous object manipulation. Ma’s most notable contribution is the development of a hierarchical knowledge graph framework for remote object navigation, which enables service robots to interpret and navigate complex, unstructured human spaces by leveraging structured semantic knowledge. This work, published in 2022, has already garnered 14 citations, reflecting its growing influence in the robotics community. By bridging the gap between high-level human commands and low-level robot actions, Ma’s research enhances robots’ ability to locate and retrieve objects in dynamic, real-world settings—a critical step toward truly assistive domestic and healthcare robots. His approach integrates spatial reasoning with contextual understanding, offering a scalable solution for robots to operate beyond pre-mapped environments. With a focus on practical, human-centric applications, Yalong Ma’s work is shaping the next generation of intelligent service robots that can seamlessly collaborate with people in everyday settings.
Research Focus
Key Achievements
Top Papers
- 1