Ziyi Jiang
Papers
1
Total Citations
34
H-Index
1
About
Dr. Ziyi Jiang is a leading figure in soft robotics and bio-inspired control systems, whose work bridges the gap between biological locomotion and artificial intelligence. Her most impactful research centers on developing adaptive control architectures for soft-bodied robots, particularly snake-like platforms that require flexible, compliant movement. In her landmark 2020 paper, "Learning to Locomote with Artificial Neural-Network and CPG-based Control in a Soft Snake Robot," Dr. Jiang introduced a hybrid control framework combining reinforcement learning with central pattern generators (CPGs)—a biologically inspired approach that enables soft snake robots to autonomously track changing goals. This work, which has garnered 34 citations, represents a significant advance in overcoming the control challenges inherent to highly deformable robotic systems. By demonstrating how neural networks can learn adaptive gaits while CPGs provide stable rhythmic patterns, Dr. Jiang has opened new pathways for creating robots that can navigate complex, unstructured environments. Her contributions are foundational for the next generation of search-and-rescue robots and medical devices, where soft, adaptive locomotion is critical.
Research Focus
Key Achievements
Top Papers
- 1