Shaoqi Wei

Wuhan Institute of Technology

Papers

2

Total Citations

17

H-Index

2

About

Shaoqi Wei is a rising researcher in nonlinear control theory, with a primary focus on the motion planning and stabilization of underactuated robotic systems. Their work addresses the fundamental challenge of controlling robots with fewer actuators than degrees of freedom, a problem critical for lightweight, energy-efficient designs. Wei’s most cited paper (2022, 12 citations) introduces a finite-time control strategy for swarm planar underactuated robots, combining motion planning with intelligent algorithms to enable coordinated task completion while leveraging the robots’ gravity-neglecting, energy-saving properties. Building on this, their 2023 work (5 citations) proposes an iterative contraction stability control strategy for planar prismatic-rotational (PR) underactuated robots, deriving a nilpotent approximation via algebraic methods to solve endpoint position control. These contributions advance the practical deployment of underactuated systems in swarm robotics and precision manipulation. While early in their career, Wei’s systematic approach—bridging theoretical stability analysis with algorithmic implementation—marks them as a promising voice in modern robotics control, with potential for significant impact as their citation footprint grows.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Finite-time control strategy for swarm planar underactuated robots via motion planning and intelligent algorithm
12 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Wuhan Institute of Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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