Xinpei Ni
Papers
2
Total Citations
8
H-Index
1
About
Xinpei Ni is a robotics researcher whose work focuses on the intersection of multi-agent systems, formal methods, and contact-rich manipulation. Their key research areas include reactive synthesis for heterogeneous robot teams and learning-based manipulation policies. Ni's major contribution is a high-level controller synthesis framework that enables heterogeneous agents to dynamically resolve environmental conflicts using temporal-logic-based reactive synthesis, guaranteeing safe operation—a significant advance for multi-robot coordination in unpredictable settings. This work has garnered 7 citations since 2022. More recently, Ni has explored whether sampling-based planners can provide superior demonstrations for behavior cloning in contact-rich manipulation tasks, challenging the dominance of human teleoperation for complex coordination. This 2025 paper, though early in its citation life, addresses a critical bottleneck in robotic learning. Ni's work bridges formal guarantees with practical learning, offering a promising path toward more robust and autonomous robotic systems. Their research is particularly relevant for students and researchers interested in multi-robot systems, formal verification, and manipulation.
Research Focus
Key Achievements
Top Papers
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