Papers

2

Total Citations

11

H-Index

2

About

Robert C. M. Querimit is a researcher at the forefront of laboratory automation and machine learning, with a primary focus on developing intelligent robotic systems for complex chemical processes. His most notable contribution is the creation of **pHbot**, a self-driven robot that automates the challenging task of pH adjustment in viscous formulations—a process traditionally reliant on manual trial-and-error. By integrating physics-informed machine learning, Querimit’s system can intelligently handle weak, polyprotic titrants like citric acid, overcoming the difficulties posed by high-viscosity liquids. This work has already garnered over 11 combined citations since its 2023 publication, signaling significant interest from both industrial and academic communities. His research bridges the gap between robotics, process chemistry, and artificial intelligence, offering a scalable solution for industries such as cosmetics, pharmaceuticals, and food manufacturing. Querimit’s innovative approach not only enhances reproducibility and efficiency but also reduces human error in critical formulation steps. As a rising figure in the field of automated chemical engineering, his work exemplifies how smart robotics can transform routine laboratory tasks into precise, data-driven operations.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
pHbot: Self‐Driven Robot for pH Adjustment of Viscous Formulations via Physics‐informed‐ML**
7 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Agency for Science, Technology and Research, Nanyang Technological University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago