Shaocheng Luo
Purdue University West Lafayette, Duke University, Zhejiang University
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
Top Papers
- 1
- 2
- 3Multipoint Rendezvous in Multirobot Systems34 citations · 2018
- 4Predicting the drift motion for kinematically redundant robots21 citations · 1992
- 5
- 6Computer Vision-based Algae Removal Planner for Multi-robot Teams10 citations · 2019
- 7
- 8Pivot-based Collective Coverage Control with a Multi-robot Team9 citations · 2018
- 9Measure of joint path drift for kinematically redundant robots6 citations · 2002
- 10