Chunlei Bao
Papers
1
Total Citations
4
H-Index
1
About
Chunlei Bao is a researcher specializing in soft robotics and pneumatic actuation systems, with a particular focus on the sensing and control of pneumatic artificial muscles (PAMs). His work addresses a critical challenge in robotic manipulation: detecting and distinguishing between different types of physical impacts—axial versus radial—that occur when PAM-actuated robots interact with their environment. In his most cited work, published in 2020, Bao developed a novel method to identify these impacts in both static and dynamic processes by analyzing autocorrelations of differential pressure signals. This contribution is foundational for improving the safety and responsiveness of soft robotic systems, enabling them to better navigate unstructured environments. With 4 citations, this paper represents a targeted but impactful step forward in the field. Bao’s research bridges the gap between traditional rigid robotics and emerging soft robotic technologies, offering practical solutions for impact detection that enhance robot autonomy and human-robot interaction. His work is particularly relevant for researchers developing compliant, adaptive robots for applications in healthcare, manufacturing, and exploration.
Research Focus
Key Achievements
Top Papers
- 1