Rafael Arrais

Universidade do Porto, INESC TEC

Papers

13

Total Citations

180

H-Index

8

About

Rafael Arrais is a robotics researcher whose work spans industrial automation, mobile manipulation, and robotic software engineering — areas where his contributions have meaningfully advanced the state of the art in smart manufacturing and dependable robotic systems. His research addresses real-world challenges in aerospace and logistics industries, most notably through his work on reconfigurable grasp planning pipelines for aerospace factory picking operations (31 citations) and collaborative robotic systems for industrial coating cells (24 citations). Arrais has made significant strides in integrating mobile manipulators within production environments, demonstrated through his application of the Open Scalable Production System to additive manufacturing operations (26 citations). On the software infrastructure side, his investigations into ROS usage patterns (22 citations) laid important groundwork for coding standards and static analysis in safety-critical robotic applications, while his work on containerized robotic deployments (14 citations) and cloud-based continuous integration (7 citations) addresses the persistent challenge of reproducibility and scalability in robotics software. His bridging of IEC 61131-3 automation standards with ROS further reflects a commitment to practical interoperability between legacy industrial systems and modern robotics frameworks. Collectively, his portfolio represents a coherent vision for intelligent, deployable, and industrially relevant robotic systems.

Research Focus

Key Achievements

8
H-Index
13
Papers
180
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Reconfigurable Grasp Planning Pipeline with Grasp Synthesis and Selection Applied to Picking Operations in Aerospace Factories
31 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: Universidade do Porto, INESC TEC

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago