Samuel Pedigo

Boeing (United States)

Papers

2

Total Citations

42

H-Index

2

About

Samuel Pedigo is a leading researcher in multi-robot coordination and manufacturing automation, with a primary focus on the assembly of large-scale aerospace structures. His work addresses the critical challenge of efficiently allocating repetitive tasks—such as drilling and fastening—among multiple cooperating robots while ensuring collision-free scheduling and balanced workloads. Pedigo’s major contribution is the development of novel scheduling algorithms that handle soft task precedence constraints, enabling more flexible and robust assembly processes. His most influential paper, “A scheduling method for multi-robot assembly of aircraft structures with soft task precedence constraints” (2021), has garnered 39 citations, reflecting its significance in advancing practical, scalable solutions for industrial robotics. This work builds on his earlier foundational research, which introduced efficient task allocation strategies for aircraft assembly. By tackling the complex interplay between robot utilization, task sequencing, and spatial coordination, Pedigo has provided essential tools for improving productivity in high-precision manufacturing environments. His research is highly relevant for students and engineers seeking to optimize multi-robot systems in real-world, constraint-heavy settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
42
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
A scheduling method for multi-robot assembly of aircraft structures with soft task precedence constraints
39 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Boeing (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago