Papers

12

Total Citations

208

H-Index

8

About

Shaocheng Luo is a robotics researcher whose career spans over three decades, with foundational contributions to robotic motion control, kinematic analysis, and multi-robot coordination. His early work in the late 1980s and early 1990s tackled the complex challenge of coordinating multiple robotic devices for welding applications, developing constrained optimization methods in Cartesian space to synchronize positioning tables with seven-axis manipulators — research that has garnered 60 citations and remains a landmark contribution to industrial robotics. He further advanced the field by investigating joint path drift in kinematically redundant robots, providing critical insights into the non-repeatability problems arising from Jacobian pseudoinverse control strategies. More recently, Luo has made significant strides in multi-robot systems, publishing influential work on rendezvous control, bearing-aided hierarchical network topology tracking, and collective coverage strategies — research areas with growing relevance to autonomous systems and environmental applications. His 2018–2019 papers demonstrate a forward-looking interest in practical deployment, including computer vision-guided algae removal using multi-robot teams. His most recent work explores radar-based real-time point cloud generation for unmanned vehicles, reflecting an evolving focus on perception and sensing. Collectively, Luo's research bridges classical robotic kinematics with modern multi-agent autonomy, making him a versatile and enduring contributor to the robotics community.

Research Focus

Key Achievements

8
H-Index
12
Papers
208
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Coordinated motion control of multiple robotic devices for welding and redundancy coordination through constrained optimization in Cartesian space
60 citations · 1989
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Purdue University West Lafayette, Duke University, Zhejiang University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago