Keshan Chen
Papers
1
Total Citations
3
H-Index
1
About
Keshan Chen is a researcher in robotics and sensor fusion, with a particular focus on the attitude detection and motion control of polyhedral robots. His most cited work, “Research on the attitude detection technology of the tetrahedron robot” (2017), addresses a critical challenge in non-traditional robotic systems: accurately determining orientation in multi-faceted, non-wheeled platforms. Chen proposed a novel multi-sensor data fusion algorithm based on the Kalman filter, enabling precise attitude detection for tetrahedron robots—a class of robots capable of tumbling and reorienting in complex environments. This contribution has garnered attention in the field, with the paper accumulating 3 citations, and lays foundational groundwork for future developments in polyhedral robotics and autonomous navigation. Chen’s work is particularly notable for bridging the gap between classical estimation theory and unconventional robotic morphologies, offering practical solutions for robots operating in unstructured or confined spaces. His research continues to influence the design of robust, sensor-driven control systems for next-generation mobile robots.
Research Focus
Key Achievements
Top Papers
- 1Research on the attitude detection technology of the tetrahedron robot3 citations · 2017