Papers
10
Total Citations
81
H-Index
5
About
Pengxiao Bao is a pioneering researcher in bio-inspired robotics, with a primary focus on underwater and amphibious robotic systems. His work centers on developing innovative spherical robots for ocean exploration, addressing critical challenges in motion control, formation coordination, and multi-environment adaptability. Bao's major contributions include designing a decoupling three-dimensional motion control algorithm that eliminates coupling between motion directions in spherical underwater robots—a breakthrough that enhances maneuverability and precision. He also developed a vision-based underwater formation control system using a closed leader-follower structure, enabling coordinated multi-robot operations for complex marine tasks. His research extends to amphibious robots, including wave-driven bionic designs and terrestrial gait algorithms for robotic ducks, demonstrating versatility across aquatic and land environments. With over 80 citations across his most-cited works, Bao's 2023 review on bio-inspired robot mechanical designations has garnered 24 citations, underscoring its impact. Notable achievements include integrating robot-assisted array design for accurate multi-component gas quantification, showcasing cross-disciplinary innovation. Bao's work advances the frontier of autonomous systems for marine exploration, offering practical solutions for environmental monitoring, search-and-rescue, and resource extraction.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Underwater Formation System Design and Implement for Small Spherical Robots13 citations · 2022
- 4Design, Implementation and Control of an Amphibious Spherical Robot11 citations · 2022
- 5An Improved QPSO Algorithm Based on EXIF for Camera Self-calibration5 citations · 2021
- 6
- 7
- 8Kinematics Simulation Based on Fluent of a Bionic Manta ray Robot3 citations · 2021
- 9
- 10The Terrestrial Gait Design of the Bionic Robotic Duck2 citations · 2022