Haosen Xing

Papers

Total Citations

H-Index

About

Haosen Xing is a roboticist whose research lies at the intersection of bio-inspired locomotion, geometric mechanics, and high-dimensional motion planning. His work fundamentally explores how animals coordinate flexible body bending with limb movements—a capability rarely replicated in quadrupedal robots. Xing’s most cited paper (2021, 34 citations) provides a systematic analysis of how lateral body bending and leg motions synergize for sprawled-posture locomotion, offering a blueprint for more agile, adaptable robots. His earlier foundational work (2018, 32 citations) demonstrated that back bending not only aids forward propulsion but also enhances lateral and turning maneuvers, using geometric mechanics to derive simple, effective planning strategies. To address the challenge of controlling highly articulated robots, Xing proposed a hierarchical geometric framework (2019, 17 citations) that decomposes complex systems into manageable sub-systems, enabling efficient gait design. Collectively, his contributions bridge biological principles and robotic implementation, offering new pathways for creating robots that move with the fluidity and versatility of living creatures. Xing’s work is essential reading for researchers in bio-robotics, locomotion control, and geometric motion planning.