Papers
49
Total Citations
1,074
H-Index
16
About
Shoukun Wang is a prominent robotics researcher whose work centers on wheel-legged robot systems, motion control, and autonomous navigation in complex environments. His research has made substantial contributions to the design and control of six wheel-legged robots, addressing critical challenges in stability, maneuverability, and payload transportation across unstructured terrains — capabilities vital for applications in emergency rescue, material transport, and environmental exploration. Wang's most influential work, "Control Strategy of Stable Walking for a Hexapod Wheel-Legged Robot" (2020, 118 citations), established foundational frameworks for stable locomotion in hybrid robotic platforms. Building on this, his subsequent papers introduced flexible gait transition strategies and hybrid obstacle avoidance methods, collectively accumulating nearly 300 citations and demonstrating sustained impact across the field. His research extends beyond mechanical control into intelligent systems, including human–robot skill transmission through learning by demonstration and iterative learning control for cloud-based robotic systems. Wang's contributions to adaptive impedance control, distributed active disturbance rejection control, and electro-hydraulic servo systems further reflect his interdisciplinary expertise bridging mechanical engineering and advanced control theory. With over 700 cumulative citations across his top works, Shoukun Wang stands as a significant voice in next-generation mobile robotics research.
Research Focus
Key Achievements
Top Papers
- 1Control strategy of stable walking for a hexapod wheel-legged robot118 citations · 2020
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