Sikai Li

University of Michigan–Ann Arbor, Shanghai Jiao Tong University

Papers

Total Citations

H-Index

About

Sikai Li is pioneering the next generation of intelligent robotic systems, with research spanning open-world robot navigation, adaptive motion planning, and digital twin-enhanced manufacturing. His most impactful work, “Think, Act, and Ask: Open-World Interactive Personalized Robot Navigation” (2024, 19 citations), introduces a groundbreaking framework for Zero-Shot Object Navigation (ZSON) that enables robots to locate novel objects in unknown environments through natural language interaction—a significant leap beyond static, instruction-following systems. This work addresses a critical gap in robotics by allowing agents to actively ask questions and personalize their search strategies, making human-robot collaboration more intuitive and effective. In parallel, his 2025 paper on “Adaptive Robot Motion Planning for Smart Manufacturing” (5 citations) integrates digital twins with Bayesian optimization-enhanced reinforcement learning, delivering safer, more efficient motion planning for complex industrial tasks like assembly and packaging. Li’s contributions are shaping the future of autonomous systems, from household robots to smart factories, demonstrating how interactive AI and adaptive algorithms can bridge the gap between simulated learning and real-world deployment.