Kai Bai

ShanghaiTech University, Shanghai University

Papers

Total Citations

H-Index

About

Kai Bai is a pioneering researcher in bio-inspired robotics, with a focus on developing intelligent systems for underwater and confined-space applications. His work centers on bridging the gap between simulation and real-world deployment, particularly for bionic underwater robots that mimic aquatic creatures. Bai’s major contribution is the creation of **FishGym**, a high-performance physics-based simulation framework for underwater robot learning, which addresses the critical challenge of scarce training data in aquatic environments. This framework, published in 2022, has already garnered **22 citations**, underscoring its impact on advancing reinforcement learning for underwater robotics. Additionally, Bai has made notable strides in micro-robotics with his design of a **46mm micro pipe robot** weighing just 28.6g, which utilizes an inertial impact driving mechanism powered by an electromagnetic solenoid. This compact robot, detailed in a 2020 paper, demonstrates Bai’s versatility in tackling real-world inspection tasks in constrained spaces. His work not only pushes the boundaries of robotic intelligence but also provides practical tools for researchers and engineers seeking to deploy autonomous systems in challenging environments. Bai’s contributions are shaping the future of bio-inspired and micro-robotics, making him a key figure to watch.