Thiago C. Martins
Papers
2
Total Citations
85
H-Index
2
About
Thiago C. Martins is a researcher whose work sits at the intersection of robotics, industrial engineering, and intelligent manufacturing. His most influential contribution, "Simulated annealing with adaptive neighborhood: A case study in off-line robot path planning" (2010), has earned 74 citations and demonstrates his expertise in developing optimization algorithms for complex robotic systems. This work introduced an adaptive neighborhood approach to simulated annealing, significantly improving path planning efficiency for offline robot operations. Martins has also made notable contributions to the design of next-generation manufacturing systems, co-authoring "Intelligent Manufacturing System Configuration and Optimization Considering Mobile Robots, Multi-Functional Machines and Human Operators: New Facilities and Challenge for Industrial Engineering" (2015), which addresses the integration of mobile robots, multi-functional machines, and human operators—a forward-looking framework that anticipates the challenges of Industry 4.0. His research bridges theoretical optimization with practical industrial applications, offering valuable insights for students and engineers working on autonomous systems and smart factory design.
Research Focus
Key Achievements
Top Papers
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