B. Rubini
Papers
2
Total Citations
7
H-Index
2
About
B. Rubini is a researcher at the forefront of applying deep learning to intellectual property analytics, with a specialized focus on the rapidly evolving field of service robotics. Their work bridges artificial intelligence and patent informatics, developing novel classification models that streamline the search and categorization of robotic technologies. Rubini’s most-cited paper, "Patent Search Classification Model for Service Robots Field Using Deep Learning Approach" (2024), has already garnered 4 citations, signaling its timely impact on both the AI and robotics communities. A closely related follow-up study (2024, 3 citations) further refines these methodologies, demonstrating a sustained commitment to improving patent retrieval accuracy. By automating the classification of service robot patents—a domain critical to healthcare, logistics, and domestic assistance—Rubini’s contributions help researchers and innovators navigate the dense landscape of intellectual property more efficiently. Their work not only advances deep learning techniques but also provides practical tools for accelerating innovation in service robotics, making them a rising voice in the intersection of AI, patent analytics, and automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2