Papers

3

Total Citations

220

H-Index

3

About

Shuang Liu is a robotics researcher whose work sits at the intersection of motion planning, energy efficiency, and multi-robot coordination. Best known for contributions to the optimal control of wheeled mobile robots, Liu has made significant strides in addressing one of robotics' most practical challenges: reducing energy consumption without sacrificing performance. His landmark 2013 paper, "Minimizing Energy Consumption of Wheeled Mobile Robots via Optimal Motion Planning," has garnered 196 citations and stands as a foundational reference in the field, introducing a novel model that accounts for both kinetic energy transformation and traction resistance to derive energy-optimal trajectories. Building on this, his 2012 experimental study provided empirical validation of these theoretical frameworks, reinforcing the real-world applicability of energy-minimization strategies in robotic systems. Beyond single-robot efficiency, Liu has also explored the complexities of multi-robot systems, developing coordination algorithms that enable groups of mobile robots to maintain formation while respecting velocity and acceleration constraints. His body of work reflects a commitment to making autonomous robotic systems not only smarter and more coordinated, but genuinely sustainable — a contribution increasingly vital as robotics scales into industrial and real-world deployment.

Research Focus

Key Achievements

3
H-Index
3
Papers
220
Total Citations
73
Avg Citations/Paper
🏆 Most Cited Paper
Minimizing Energy Consumption of Wheeled Mobile Robots via Optimal Motion Planning
196 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: City University of Hong Kong, Suzhou University of Science and Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago