Papers
9
Total Citations
205
H-Index
5
About
Mei Si is a pioneering researcher in human-robot interaction, multi-agent systems, and artificial intelligence, with a focus on enabling seamless cooperation between robots, software agents, and people. Her foundational work on proxy-based integration architectures for distributed robot-agent-person teams (131 citations) established a standard method for coordinating heterogeneous entities, significantly improving safety and robustness in shared goal achievement. Si has also made notable contributions to the computational modeling of human-like behavior, including the study of akratic robots—machines that exhibit weakness of will—and the application of Theory of Mind in human-AI interaction, a rapidly growing area with 16 recent citations. Her research extends to non-verbal communication, where she has explored how robots can express attitudes through facial expressions, body language, and pointing gestures, as well as innovative path planning using quantum-inspired reinforcement learning. Si’s work on creating genuine smiles for digital and robotic characters further highlights her commitment to making AI socially intelligent. With a career spanning over two decades, her interdisciplinary approach continues to shape how robots and humans collaborate effectively.
Research Focus
Key Achievements
Top Papers
- 1A prototype infrastructure for distributed robot-agent-person teams131 citations · 2003
- 2Akratic robots and the computational logic thereof28 citations · 2014
- 3Theory of Mind in Human-AI Interaction16 citations · 2024
- 4Getting Robots, Agents and People to Cooperate: An Initial Report10 citations · 2003
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- 9A prototype infrastructure for distributed robot-agent-person teams2 citations · 2003