Papers

3

Total Citations

132

H-Index

3

About

Ping Liang is a pioneering researcher whose work spans distributed robotics, computational geometry, and biologically inspired systems. Best known for foundational contributions to swarm robotics, Liang's 1996 paper on pattern reconfiguration in swarms — with 63 citations — introduced the influential linear swarm model and provided one of the first rigorous mathematical analyses of self-organizing distributed robotic systems (DRS). This work established a landmark methodology for solving complex pattern reconfiguration problems through distributed, asynchronous computation, helping lay the theoretical groundwork for modern swarm intelligence research. Liang's earlier work in computational geometry, particularly the 1990 paper on volumetric intersection for 3D reconstruction (50 citations), demonstrated a broader technical versatility, contributing robust geometric algorithms that informed computer vision and reconstruction applications. Later, his 2002 work on robotic morphogenesis extended his swarm research into biologically motivated frameworks, exploring how large arrays of identical robotic cells can autonomously organize into functional patterns — a concept directly inspired by biological development. Across these contributions, Liang's research consistently bridges rigorous mathematical analysis with real-world robotics applications, making his work essential reading for students and researchers interested in emergent systems, swarm robotics, and distributed intelligence.

Research Focus

Key Achievements

3
H-Index
3
Papers
132
Total Citations
44
Avg Citations/Paper
🏆 Most Cited Paper
Pattern reconfiguration in swarms-convergence of a distributed asynchronous and bounded iterative algorithm
63 citations · 1996
📈 Most Prolific Year: 1996 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of California, Riverside, Technical University of Nova Scotia

Top Papers

  1. 1
  2. 2
  3. 3
    Robotic morphogenesis
    19 citations · 2002

Key Collaborators

Contact & Links

Available for collaboration
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