S M McGhee
Papers
1
Total Citations
7
H-Index
1
About
S. M. McGhee is a robotics researcher whose work bridges cognitive psychology and artificial intelligence to create more intelligent, adaptable robotic control systems. Their primary research area centers on developing hybrid architectures that integrate both symbolic reasoning and sub-symbolic processing, enabling robots to handle complex, real-world tasks with greater flexibility. McGhee’s most notable contribution is the Symbolic and Sub-Symbolic Robotics Intelligence Control System (SS-RICS), a novel control architecture inspired by computational cognitive models. In their foundational 2013 paper, "Combining metric episodes with semantic event concepts within SS-RICS," McGhee demonstrated how this system can merge metric, sensor-based data with higher-level semantic event concepts, allowing robots to both perceive their environment and reason about it symbolically. This work, cited 7 times, has laid important groundwork for advancing robotic cognition. By drawing directly from cognitive psychology, McGhee’s research offers a unique perspective on how robots can learn, remember, and act more like humans, making their contributions valuable for students and researchers interested in cognitive robotics, human-robot interaction, and intelligent control systems.
Research Focus
Key Achievements
Top Papers
- 1