Papers
2
Total Citations
5
H-Index
1
About
Wendi Chen is a rising researcher at the intersection of **robust nonlinear control** and **intelligent robotic manipulation**. Their work addresses two critical frontiers: ensuring system stability under cyber-physical threats, and enabling robots to handle complex, real-world objects. Chen’s 2024 paper on **adaptive control for uncertain nonlinear systems** tackles the challenge of maintaining performance during **denial-of-service (DoS) attacks** when only quantized output is available. By developing a controller that functions even when communication is intermittently severed, this work provides a vital framework for securing safety-critical systems like connected robots and autonomous vehicles. In parallel, Chen’s 2025 work, **Deformpam**, advances the field of **deformable object manipulation**—a notoriously difficult problem involving high-dimensional states and complex dynamics. By introducing a data-efficient, preference-based imitation learning method, this research enables robots to master long-horizon tasks like folding cloth or handling cables. Though early in their career, Chen’s dual focus on resilient control and dexterous manipulation signals a significant contribution to building both secure and capable autonomous systems.
Research Focus
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Top Papers
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