Jinan Sun
Papers
1
Total Citations
12
H-Index
1
About
Jinan Sun is a pioneering researcher in bio-inspired robotics, with a primary focus on the control and autonomy of robotic fish. Her key contributions lie at the intersection of imitation learning and Markov decision processes (MDPs), where she has developed novel frameworks to solve complex pose regulation problems—tasks that require a robot to simultaneously achieve a desired position and orientation. In her most cited work, "Leveraging Imitation Learning on Pose Regulation Problem of a Robotic Fish" (2022, 12 citations), Sun addresses this longstanding challenge by formulating it as an MDP, enabling a robotic fish to learn optimal control policies from expert demonstrations. This approach not only advances the field of underwater robotics but also demonstrates the practical application of reinforcement learning in real-world, continuous control tasks. Sun’s work is notable for bridging the gap between theoretical control methods and physical robot implementation, offering a scalable solution for autonomous underwater vehicles. Her research continues to inspire new directions in bio-inspired locomotion and intelligent control systems.
Research Focus
Key Achievements
Top Papers
- 1Leveraging Imitation Learning on Pose Regulation Problem of a Robotic Fish12 citations · 2022