Zepeng Ye
Papers
1
Total Citations
7
H-Index
1
About
Zepeng Ye is a pioneering researcher in soft robotics, with a focus on adaptive control, integrated sensing, and intelligent systems. His major contributions lie in bridging the gap between proprioception and closed-loop control for soft robots—a critical challenge in the field. In his highly cited 2021 work, "Adaptive Tracking Control of Soft Robots Using Integrated Sensing Skins and Recurrent Neural Networks," Ye introduced a novel framework that combines embedded sensing with recurrent neural networks to enable real-time, model-free adaptive control. This approach overcomes the limitations of traditional model-based methods, which often fail due to the nonlinear and deformable nature of soft materials. The paper has garnered 7 citations, reflecting its growing influence among researchers tackling control and sensing integration. Ye’s work is notable for its practical impact, offering a pathway toward more autonomous and resilient soft robotic systems. His achievements highlight a commitment to solving foundational problems in soft robotics, making his research essential reading for students and engineers interested in the future of adaptive, sensor-rich robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1