Howei Chen
Papers
1
Total Citations
6
H-Index
1
About
Howei Chen is a robotics researcher advancing extreme-terrain mobility for planetary exploration, with a focus on motion planning for climbing systems. His most-cited work, "Motion Planning for Climbing Mobility with Implementation on a Wall-Climbing Robot" (2019, 6 citations), addresses a critical challenge for future autonomous explorers: navigating treacherous surfaces like walled lunar pits and steep Martian rock layers. Chen developed efficient, kinematically feasible motion planning algorithms that enable wall-climbing robots to operate autonomously in these high-stakes environments. His contributions bridge the gap between theoretical motion planning and practical robotic implementation, offering a foundation for next-generation planetary rovers. Though early in his career, Chen’s work has already been recognized for its potential to unlock previously inaccessible scientific targets, such as subsurface caves and cliffside geological formations. By tackling the unique constraints of climbing mobility—including adhesion, stability, and path optimization—he is shaping how robots will explore the solar system’s most challenging terrains.
Research Focus
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Top Papers
- 1