Papers

2

Total Citations

9

H-Index

2

About

Alex Sandro Roschildt Pinto is a researcher whose work lies at the intersection of robotics, sensor systems, and service-oriented architectures. His primary research areas include multisensor data fusion for autonomous systems and the conceptualization of cloud-integrated robotic services. Pinto’s most notable contribution is his 2013 paper on a local data fusion algorithm for fire detection using mobile robots, which has garnered 6 citations. This work demonstrates how combining readings from multiple sensors can enhance environmental monitoring and safety applications, from smart buildings to defense. In 2017, he advanced the field with a proposed architecture for "Robots as a Service" (RaaS), a forward-looking concept that envisions robots as networked, on-demand resources. Though his citation counts are modest, Pinto’s research is foundational for integrating robotics into the Internet of Things, offering practical frameworks for real-time hazard detection and scalable robotic deployments. His work is particularly relevant for students and engineers exploring cost-effective, modular approaches to autonomous systems and sensor-driven intelligence.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Local data fusion algorithm for fire detection through mobile robot
6 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Universidade Estadual Paulista (Unesp), Universidade Federal de Santa Catarina

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago