Papers
2
Total Citations
16
H-Index
2
About
Jing Jie is a rising researcher at the intersection of robotics, intelligent optimization, and bio-inspired materials. Their work focuses on two distinct but impactful areas: multi-objective evolutionary path planning for mobile robots and the development of advanced electronic skins for human-machine interaction. In robotics, Jie introduced a Gaussian adaptive strategy for multi-objective evolutionary optimization, enabling safe and efficient path planning on uneven terrains—a critical advancement for autonomous navigation in complex environments. This work has already garnered 10 citations since its 2023 publication. In the domain of wearable electronics, Jie drew inspiration from Chinese Nian Gao to fabricate a textured Janus hydrogel with asymmetric adhesion, creating a skin-like bio-hydrogel for body signal sensing and human-machine interaction. This 2025 innovation, with 6 citations to date, demonstrates a novel approach to e-skin design by leveraging traditional food structures for modern sensing applications. Jie’s cross-disciplinary contributions—from algorithmic optimization to materials engineering—highlight a creative and practical approach to solving real-world challenges in robotics and human-machine interfaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2