Shao-Po Ma
Papers
1
Total Citations
6
H-Index
1
About
Shao-Po Ma is a researcher in robotics and human-robot interaction (HRI), with a focus on developing socially aware autonomous systems. His work centers on enabling robots to infer human intentions and make intelligent decisions in dynamic social environments. In his most cited paper, "Human awareness based robot performance learning in a social environment" (2013, 6 citations), Ma introduced a human awareness Decision Network model that allows robots to recognize user actions and perform contextually appropriate responses, moving beyond simple reactive behaviors toward more natural and intuitive interaction. This contribution addresses a core challenge in HRI: bridging the gap between machine perception and human social cues. While his citation count reflects a niche but growing field, Ma's research lays important groundwork for robots that can learn from and adapt to human presence in real time. His work is particularly relevant for applications in assistive robotics, collaborative manufacturing, and service robots, where understanding human intent is critical for safe and effective cooperation.
Research Focus
Key Achievements
Top Papers
- 1Human awareness based robot performance learning in a social environment6 citations · 2013